Unnamed: 0 int64 0 350k | level_0 int64 0 351k | ApplicationNumber int64 9.75M 96.1M | ArtUnit int64 1.6k 3.99k | Abstract stringlengths 1 8.37k | Claims stringlengths 3 292k | abstract-claims stringlengths 68 293k | TechCenter int64 1.6k 3.9k |
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5,800 | 5,800 | 15,094,171 | 2,135 | Various memory management apparatus and methods are disclosed. In one aspect, a method of memory management is provided that includes receiving a data block in a virtual space, sub-dividing the data block into plural sub-blocks of the same size, and mapping the plural sub-blocks to a physical space according to a selected memory mapping efficiency mode. | 1. A method of memory management, comprising:
receiving a data block in a virtual space; sub-dividing the data block into plural sub-blocks of the same size; and mapping the plural sub-blocks to a physical space according to a selected memory mapping efficiency mode. 2. The method of claim 1, wherein the mapping comprises mapping the each of the plural sub-blocks to non-contiguous portions of the physical space. 3. The method of claim 1, wherein the mapping comprises mapping a portion of the sub-blocks to non-contiguous portions of the physical space and another portion of the sub-blocks to contiguous portions of the physical space. 4. The method of claim 1, wherein the physical space includes a first memory and a second memory, the first memory having more efficient performance than the second memory, the mapping comprising searching the first memory and the second memory for available space for the sub-blocks and mapping all the sub-blocks to the first memory if the first memory is found to contain sufficient space or mapping some of the sub-blocks to the first memory and others of the sub-blocks to the second memory if the first memory is found not to contain sufficient space. 5. The method of claim 4, comprising re-mapping a sub-block from the first memory to the second memory. 6. The method of claim 4, comprising ranking the sub-blocks based on a computational intensity associated with each sub-block, and mapping higher computational intensity sub-blocks to the first memory and lower computational intensity sub-blocks to the second memory. 7. The method of claim 6, comprising re-mapping a sub-block if the computational intensity of that sub-block changes. 8. A method of operating a computing device, comprising:
receiving a data block in a virtual space of a processor memory manager; sub-dividing the data block into plural sub-blocks of the same size with the memory manager; and mapping the plural sub-blocks to a physical space with the memory manager, the physical space including a first memory and a second memory, the mapping according to a selected memory mapping efficiency mode. 9. The method of claim 8, wherein the mapping comprises mapping the each of the plural sub-blocks to non-contiguous portions of the physical space. 10. The method of claim 8, wherein the mapping comprises mapping a portion of the sub-blocks to non-contiguous portions of the physical space and another portion of the sub-blocks to contiguous portions of the physical space. 11. The method of claim 8, wherein the first memory having more efficient performance than the second memory, the mapping comprising searching the first memory and the second memory for available space for the sub-blocks and mapping all the sub-blocks to the first memory if the first memory is found to contain sufficient space or mapping some of the sub-blocks to the first memory and others of the sub-blocks to the second memory if the first memory is found not to contain sufficient space. 12. The method of claim 11, comprising re-mapping a sub-block from the first memory to the second memory. 13. The method of claim 11, comprising ranking the sub-blocks based on a computational intensity associated with each sub-block, and mapping higher computational intensity sub-blocks to the first memory and lower computational intensity sub-blocks to the second memory. 14. The method of claim 13, comprising re-mapping a sub-block if the computational intensity of that sub-block changes. 15. A computing device, comprising:
a memory manager; a physical space having a first memory and a second memory; and wherein the memory manager includes a virtual space and is operable to receive a data block in a virtual space of a processor memory manager, sub-divide the data block into plural sub-blocks of the same size, and map the plural sub-blocks to the physical space according to a selected memory mapping efficiency mode. 16. The computing device of claim 15, wherein the memory manager comprises part of a processor. 17. The computing device of claim 15, wherein the first memory and the second memory comprise different memory types. 18. The computing device of claim 17, wherein the first memory has a more efficient performance than the second memory. 19. The computing device of claim 18, wherein the mapping comprises searching the first memory and the second memory for available space for the sub-blocks and mapping all the sub-blocks to the first memory if the first memory is found to contain sufficient space or mapping some of the sub-blocks to the first memory and others of the sub-blocks to the second memory if the first memory is found not to contain sufficient space. 20. The computing device of claim 18, wherein the memory manager is operable to re-mapping a sub-block from the first memory to the second memory. 21. The computing device of claim 18, wherein the memory manager is operable to rank the sub-blocks based on a computational intensity associated with each sub-block, and map higher computational intensity sub-blocks to the first memory and lower computational intensity sub-blocks to the second memory. 22. The computing device of claim 21, wherein the memory manager is operable to re-map a sub-block if the computational intensity of that sub-block changes. | Various memory management apparatus and methods are disclosed. In one aspect, a method of memory management is provided that includes receiving a data block in a virtual space, sub-dividing the data block into plural sub-blocks of the same size, and mapping the plural sub-blocks to a physical space according to a selected memory mapping efficiency mode.1. A method of memory management, comprising:
receiving a data block in a virtual space; sub-dividing the data block into plural sub-blocks of the same size; and mapping the plural sub-blocks to a physical space according to a selected memory mapping efficiency mode. 2. The method of claim 1, wherein the mapping comprises mapping the each of the plural sub-blocks to non-contiguous portions of the physical space. 3. The method of claim 1, wherein the mapping comprises mapping a portion of the sub-blocks to non-contiguous portions of the physical space and another portion of the sub-blocks to contiguous portions of the physical space. 4. The method of claim 1, wherein the physical space includes a first memory and a second memory, the first memory having more efficient performance than the second memory, the mapping comprising searching the first memory and the second memory for available space for the sub-blocks and mapping all the sub-blocks to the first memory if the first memory is found to contain sufficient space or mapping some of the sub-blocks to the first memory and others of the sub-blocks to the second memory if the first memory is found not to contain sufficient space. 5. The method of claim 4, comprising re-mapping a sub-block from the first memory to the second memory. 6. The method of claim 4, comprising ranking the sub-blocks based on a computational intensity associated with each sub-block, and mapping higher computational intensity sub-blocks to the first memory and lower computational intensity sub-blocks to the second memory. 7. The method of claim 6, comprising re-mapping a sub-block if the computational intensity of that sub-block changes. 8. A method of operating a computing device, comprising:
receiving a data block in a virtual space of a processor memory manager; sub-dividing the data block into plural sub-blocks of the same size with the memory manager; and mapping the plural sub-blocks to a physical space with the memory manager, the physical space including a first memory and a second memory, the mapping according to a selected memory mapping efficiency mode. 9. The method of claim 8, wherein the mapping comprises mapping the each of the plural sub-blocks to non-contiguous portions of the physical space. 10. The method of claim 8, wherein the mapping comprises mapping a portion of the sub-blocks to non-contiguous portions of the physical space and another portion of the sub-blocks to contiguous portions of the physical space. 11. The method of claim 8, wherein the first memory having more efficient performance than the second memory, the mapping comprising searching the first memory and the second memory for available space for the sub-blocks and mapping all the sub-blocks to the first memory if the first memory is found to contain sufficient space or mapping some of the sub-blocks to the first memory and others of the sub-blocks to the second memory if the first memory is found not to contain sufficient space. 12. The method of claim 11, comprising re-mapping a sub-block from the first memory to the second memory. 13. The method of claim 11, comprising ranking the sub-blocks based on a computational intensity associated with each sub-block, and mapping higher computational intensity sub-blocks to the first memory and lower computational intensity sub-blocks to the second memory. 14. The method of claim 13, comprising re-mapping a sub-block if the computational intensity of that sub-block changes. 15. A computing device, comprising:
a memory manager; a physical space having a first memory and a second memory; and wherein the memory manager includes a virtual space and is operable to receive a data block in a virtual space of a processor memory manager, sub-divide the data block into plural sub-blocks of the same size, and map the plural sub-blocks to the physical space according to a selected memory mapping efficiency mode. 16. The computing device of claim 15, wherein the memory manager comprises part of a processor. 17. The computing device of claim 15, wherein the first memory and the second memory comprise different memory types. 18. The computing device of claim 17, wherein the first memory has a more efficient performance than the second memory. 19. The computing device of claim 18, wherein the mapping comprises searching the first memory and the second memory for available space for the sub-blocks and mapping all the sub-blocks to the first memory if the first memory is found to contain sufficient space or mapping some of the sub-blocks to the first memory and others of the sub-blocks to the second memory if the first memory is found not to contain sufficient space. 20. The computing device of claim 18, wherein the memory manager is operable to re-mapping a sub-block from the first memory to the second memory. 21. The computing device of claim 18, wherein the memory manager is operable to rank the sub-blocks based on a computational intensity associated with each sub-block, and map higher computational intensity sub-blocks to the first memory and lower computational intensity sub-blocks to the second memory. 22. The computing device of claim 21, wherein the memory manager is operable to re-map a sub-block if the computational intensity of that sub-block changes. | 2,100 |
5,801 | 5,801 | 14,896,344 | 2,121 | The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region. | 1. One or more computer-readable media storing computer-executable instructions that are executed to cause one or more processors to perform acts comprising:
obtaining labeled air quality index data for a pollutant in a region from one or more air quality monitor stations; extracting spatial features for the region from spatially-related data for the region, the spatially-related data including information associated with fixed infrastructures in the region; extracting temporal features for the region from temporally-related data for the region, the temporally-related data including data for the region that changes over time; and applying a co-training based learning framework to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region. 2. The one or more computer-readable media of claim 1, wherein the acts further comprise:
obtaining spatial features for an area in the region based on spatially-related data observed for the area; obtaining temporal features for the area in the region based on temporally-related data observed for the area; generating a spatial probability score for the pollutant in the area based at least on the spatial features using the spatial classifier; generating a temporal probability score for the pollutant in the area based at least on the temporal features using the temporal classifier; and calculating an air quality index level with respect to the pollutant in the area based at least on the spatial probability score and the temporal probability score. 3. The one or more computer-readable media of claim 2, wherein the calculating includes calculating the air quality index level based at least on a product of the spatial probability score and the temporal probability score. 4. The one or more computer-readable media of claim 2, wherein the spatially-related data observed for the area includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the area includes at least one of automobile traffic data, human movement data, or meteorological data. 5. The one or more computer-readable media of claim 2, wherein the area lacks an air quality monitor station that provides an air quality index level for the pollutant. 6. The one or more computer-readable media of claim 1, wherein the applying includes applying the co-training based learning framework to co-train the spatial classifier and the temporal classifier for inferring an air quality index level of the pollutant for an area in the region. 7. The one or more computer-readable media of claim 1, wherein the applying the co-training based learning framework includes:
training the spatial classifier with the spatial features for the region; training the temporal classifier with temporal features for the region; and applying the spatial classifier and the temporal classifier to infer unlabeled areas iteratively by adding one or more most confidently classified examples into labeled areas in the region for each subsequent training iteration round until remaining unlabeled areas in the region are labeled or a predetermined numbers of iteration rounds have been performed. 8. The one or more computer-readable media of claim 1, wherein the spatially-related data for the region includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the region includes at least one of automobile traffic data, human movement data, or meteorological data. 9. The one or more computer-readable media of claim 1, wherein the spatial classifier is an artificial neural network (ANN) classifier, and wherein the temporal classifier is one of a linear-chain conditional random field (CRF) classifier, a hidden Markov model (HMM) classifier, or a maximum entropy Markov model classifier. 10. A computer-implemented method, comprising:
applying a co-training based learning framework to co-train a spatial classifier and a temporal classifier based at least on labeled air quality index data from one or more air quality monitor stations in a region, a set of spatial features associated with the region, and a set of temporal features associated with the region; obtaining an additional set of spatial features for an area in the region based on spatially-related data observed for the area; obtaining an additional set of temporal features for the area in the region based on temporally-related data observed for the area; generating a spatial probability score for a pollutant in the area based at least on the additional set of spatial features for the area using the spatial classifier; generating a temporal probability score the pollutant in the area based at least on the additional set of temporal features for the area using the temporal classifier; and calculating an air quality index level with respect to the pollutant in the area based at least on the spatial probability score and the temporal probability score. 11. The computer-implemented method of claim 10, further comprising:
obtaining the labeled air quality index data for the pollutant in the region from one or more air quality monitor stations; extracting the spatial features associated with the region from spatially-related data for the region, the spatially-related data including information associated with fixed infrastructures in the region; and extracting the temporal features for the region from temporally-related data for the region, the temporally-related data including data for the region that changes over time. 12. The computer-implemented method of claim 11, wherein the spatially-related data for the region includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the region includes at least one of automobile traffic data, human movement data, or meteorological data. 13. The computer-implemented method of claim 10, wherein the applying the co-training based learning framework includes:
training the spatial classifier with the set of spatial features associated with the region; training the temporal classifier with the set of temporal features associated with the region; and applying the spatial classifier and the temporal classifier to infer unlabeled areas iteratively by adding one or more most confidently classified examples into labeled areas in the region for each subsequent training iteration round until remaining unlabeled areas in the region are labeled or a predetermined numbers of iteration rounds have been performed. 14. The computer-implemented method of claim 10, wherein the spatially-related data observed for the area includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the area includes at least one of automobile traffic data, human movement data, or meteorological data. 15. The computer-implemented method of claim 10, further comprising:
calculating a deviation between an air quality index level and a corresponding linear interpolation level for each of multiple pollutants at a plurality of areas for a set of periodic intervals; positioning a corresponding deviation for each pollutant at each of the plurality of areas and each of the periodic intervals in a multi-dimensional grid space; and applying a skyline detection algorithm to deviations in the multi-dimensional grid space to identify one or more areas for air quality monitor station installation. 16. The computer-implemented method of claim 15, wherein the applying the skyline detection algorithm includes:
counting occurrences of each area in detected skylines in the multi-dimensional grid space through a predetermined time period that encompasses the set of periodic intervals; and determining that an area is a candidate location that is suitable for air quality monitor station installation based at least on a frequency that the area occurs in the detected skylines within the predetermined time period. 17. A device, comprising:
one or more processors; a memory that includes a plurality of computer-executable components that are executable by the one or more processors, comprising:
a spatial feature extraction component that obtains spatial features for an area in a region based on spatially-related data observed for the area;
a temporal feature extraction component that obtains temporal features for the area in the region based on temporally-related data observed for the area;
and
an air quality index component that calculates an air quality index level with respect to the pollutant in the area by applying a spatial classifier to the spatial features or applying a temporal classifier to the temporal features. 18. The device of claim 17, wherein the spatial feature extraction component further extracts spatial features for the region from spatially-related data for the region, the spatially-related data including information on fixed infrastructures in the region, and wherein the temporal feature extraction component further extracts temporal features for the region from temporally-related data for the region, the temporally-related data including data for the region that changes over time. 19. The device of claim 17, further comprising at least one of:
a labeled data extraction component that obtains labeled air quality index data for the pollutant in the region from one or more air quality monitor stations; a spatial probability component that generates a spatial probability score for a pollutant in the area based at least on the spatial features for the area using the spatial classifier; a temporal probability component that generates a temporal probability score for the pollutant in the area based at least on the temporal features for the area using the temporal classifier; and a co-training component that applies a co-training based learning framework to co-train the spatial classifier and the temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region, wherein the air quality index component further calculates an additional air quality index level with respect to the pollutant in the area based at least on the spatial probability score or the temporal probability score. 20. The device of claim 17, further comprising a location identification component that performs acts including:
calculating a deviation between an air quality index level and a corresponding linear interpolation level for each of multiple pollutants at a plurality of areas for a set of periodic intervals; positioning a corresponding deviation for each pollutant at each of the plurality of areas and each of the periodic intervals in a multi-dimensional grid space; and applying a skyline detection algorithm to deviations in the multi-dimensional grid space to identify one or more areas for air quality monitor station installation. | The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.1. One or more computer-readable media storing computer-executable instructions that are executed to cause one or more processors to perform acts comprising:
obtaining labeled air quality index data for a pollutant in a region from one or more air quality monitor stations; extracting spatial features for the region from spatially-related data for the region, the spatially-related data including information associated with fixed infrastructures in the region; extracting temporal features for the region from temporally-related data for the region, the temporally-related data including data for the region that changes over time; and applying a co-training based learning framework to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region. 2. The one or more computer-readable media of claim 1, wherein the acts further comprise:
obtaining spatial features for an area in the region based on spatially-related data observed for the area; obtaining temporal features for the area in the region based on temporally-related data observed for the area; generating a spatial probability score for the pollutant in the area based at least on the spatial features using the spatial classifier; generating a temporal probability score for the pollutant in the area based at least on the temporal features using the temporal classifier; and calculating an air quality index level with respect to the pollutant in the area based at least on the spatial probability score and the temporal probability score. 3. The one or more computer-readable media of claim 2, wherein the calculating includes calculating the air quality index level based at least on a product of the spatial probability score and the temporal probability score. 4. The one or more computer-readable media of claim 2, wherein the spatially-related data observed for the area includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the area includes at least one of automobile traffic data, human movement data, or meteorological data. 5. The one or more computer-readable media of claim 2, wherein the area lacks an air quality monitor station that provides an air quality index level for the pollutant. 6. The one or more computer-readable media of claim 1, wherein the applying includes applying the co-training based learning framework to co-train the spatial classifier and the temporal classifier for inferring an air quality index level of the pollutant for an area in the region. 7. The one or more computer-readable media of claim 1, wherein the applying the co-training based learning framework includes:
training the spatial classifier with the spatial features for the region; training the temporal classifier with temporal features for the region; and applying the spatial classifier and the temporal classifier to infer unlabeled areas iteratively by adding one or more most confidently classified examples into labeled areas in the region for each subsequent training iteration round until remaining unlabeled areas in the region are labeled or a predetermined numbers of iteration rounds have been performed. 8. The one or more computer-readable media of claim 1, wherein the spatially-related data for the region includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the region includes at least one of automobile traffic data, human movement data, or meteorological data. 9. The one or more computer-readable media of claim 1, wherein the spatial classifier is an artificial neural network (ANN) classifier, and wherein the temporal classifier is one of a linear-chain conditional random field (CRF) classifier, a hidden Markov model (HMM) classifier, or a maximum entropy Markov model classifier. 10. A computer-implemented method, comprising:
applying a co-training based learning framework to co-train a spatial classifier and a temporal classifier based at least on labeled air quality index data from one or more air quality monitor stations in a region, a set of spatial features associated with the region, and a set of temporal features associated with the region; obtaining an additional set of spatial features for an area in the region based on spatially-related data observed for the area; obtaining an additional set of temporal features for the area in the region based on temporally-related data observed for the area; generating a spatial probability score for a pollutant in the area based at least on the additional set of spatial features for the area using the spatial classifier; generating a temporal probability score the pollutant in the area based at least on the additional set of temporal features for the area using the temporal classifier; and calculating an air quality index level with respect to the pollutant in the area based at least on the spatial probability score and the temporal probability score. 11. The computer-implemented method of claim 10, further comprising:
obtaining the labeled air quality index data for the pollutant in the region from one or more air quality monitor stations; extracting the spatial features associated with the region from spatially-related data for the region, the spatially-related data including information associated with fixed infrastructures in the region; and extracting the temporal features for the region from temporally-related data for the region, the temporally-related data including data for the region that changes over time. 12. The computer-implemented method of claim 11, wherein the spatially-related data for the region includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the region includes at least one of automobile traffic data, human movement data, or meteorological data. 13. The computer-implemented method of claim 10, wherein the applying the co-training based learning framework includes:
training the spatial classifier with the set of spatial features associated with the region; training the temporal classifier with the set of temporal features associated with the region; and applying the spatial classifier and the temporal classifier to infer unlabeled areas iteratively by adding one or more most confidently classified examples into labeled areas in the region for each subsequent training iteration round until remaining unlabeled areas in the region are labeled or a predetermined numbers of iteration rounds have been performed. 14. The computer-implemented method of claim 10, wherein the spatially-related data observed for the area includes at least one of road network data or points-of-interest data, and wherein the temporally-related data observed for the area includes at least one of automobile traffic data, human movement data, or meteorological data. 15. The computer-implemented method of claim 10, further comprising:
calculating a deviation between an air quality index level and a corresponding linear interpolation level for each of multiple pollutants at a plurality of areas for a set of periodic intervals; positioning a corresponding deviation for each pollutant at each of the plurality of areas and each of the periodic intervals in a multi-dimensional grid space; and applying a skyline detection algorithm to deviations in the multi-dimensional grid space to identify one or more areas for air quality monitor station installation. 16. The computer-implemented method of claim 15, wherein the applying the skyline detection algorithm includes:
counting occurrences of each area in detected skylines in the multi-dimensional grid space through a predetermined time period that encompasses the set of periodic intervals; and determining that an area is a candidate location that is suitable for air quality monitor station installation based at least on a frequency that the area occurs in the detected skylines within the predetermined time period. 17. A device, comprising:
one or more processors; a memory that includes a plurality of computer-executable components that are executable by the one or more processors, comprising:
a spatial feature extraction component that obtains spatial features for an area in a region based on spatially-related data observed for the area;
a temporal feature extraction component that obtains temporal features for the area in the region based on temporally-related data observed for the area;
and
an air quality index component that calculates an air quality index level with respect to the pollutant in the area by applying a spatial classifier to the spatial features or applying a temporal classifier to the temporal features. 18. The device of claim 17, wherein the spatial feature extraction component further extracts spatial features for the region from spatially-related data for the region, the spatially-related data including information on fixed infrastructures in the region, and wherein the temporal feature extraction component further extracts temporal features for the region from temporally-related data for the region, the temporally-related data including data for the region that changes over time. 19. The device of claim 17, further comprising at least one of:
a labeled data extraction component that obtains labeled air quality index data for the pollutant in the region from one or more air quality monitor stations; a spatial probability component that generates a spatial probability score for a pollutant in the area based at least on the spatial features for the area using the spatial classifier; a temporal probability component that generates a temporal probability score for the pollutant in the area based at least on the temporal features for the area using the temporal classifier; and a co-training component that applies a co-training based learning framework to co-train the spatial classifier and the temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region, wherein the air quality index component further calculates an additional air quality index level with respect to the pollutant in the area based at least on the spatial probability score or the temporal probability score. 20. The device of claim 17, further comprising a location identification component that performs acts including:
calculating a deviation between an air quality index level and a corresponding linear interpolation level for each of multiple pollutants at a plurality of areas for a set of periodic intervals; positioning a corresponding deviation for each pollutant at each of the plurality of areas and each of the periodic intervals in a multi-dimensional grid space; and applying a skyline detection algorithm to deviations in the multi-dimensional grid space to identify one or more areas for air quality monitor station installation. | 2,100 |
5,802 | 5,802 | 15,300,609 | 2,179 | Extracorporeal blood treatment systems and methods to display information related to an alarm issued during extracorporeal blood treatments. For example, when an alarm is issued, an alarm region may be depicted on a graphical user interface. The alarm region may be configured to be docked into another region of the graphical user interface to, e.g., expose an operations region, etc. | 1. An extracorporeal blood treatment system comprising:
a display apparatus comprising a graphical user interface, wherein the graphical user interface is configured to depict an operations region; and a computing apparatus operatively coupled to the display apparatus, wherein the computing apparatus is configured to: display on the graphical user interface an operations region; issue an alarm indicating an issue with an extracorporeal blood treatment being performed; display, when an alarm is issued, an alarm region in the operations region, wherein the alarm region comprises information relevant to the issued alarm; and allow a user to dock the alarm region to another region of the graphical user interface other than the operations region. 2. A method for an extracorporeal blood treatment system comprising:
providing a graphical user interface configured to depict an operations region; displaying on the graphical user interface an operations region; issuing an alarm indicating an issue with an extracorporeal blood treatment being performed; displaying, when an alarm is issued, an alarm region in the operations region, wherein the alarm region comprises information relevant to the issued alarm; and allowing a user to dock the alarm region to another region of the graphical user interface other than the operations region. 3. The system of claim 1, wherein a status region is further displayed on the graphical user interface, and wherein the alarm region is docked to the status region. 4. The system of claim 3, wherein the operations region is larger than the status region. 5. An extracorporeal blood treatment system comprising:
a display apparatus comprising a graphical user interface, wherein the graphical user interface is configured to depict a dock region; and a computing apparatus operatively coupled to the display apparatus, wherein the computing apparatus is configured to: display on the graphical user interface a dock region; issue an alarm indicating an issue with an extracorporeal blood treatment being performed; display, when an alarm is issued, an alarm region on the graphical user interface, wherein the alarm region comprises information relevant to the issued alarm; and allow a user to dock the alarm region to the dock region. 6. A method for an extracorporeal blood treatment system comprising:
providing a graphical user interface configured to depict a dock region; displaying on the graphical user interface a dock region; issuing an alarm indicating an issue with an extracorporeal blood treatment being performed; displaying, when an alarm is issued, an alarm region on the graphical user interface, wherein the alarm region comprises information relevant to the issued alarm; and allowing a user to dock the alarm region to the dock region. 7. The system of claim 1, wherein the alarm region further comprises a dock area configured to be selected by a user to dock the alarm region. 8. The system of claim 1, wherein animation is used to show the alarm region moving and shrinking as the alarm region is being docked. 9. The system of claim 1, wherein the alarm region further comprises a mute area configured to be selected by a user to mute the alarm. 10. The system of claim 1, wherein the alarm is muted automatically when the alarm is docked. 11. The system of claim 9, wherein the alarm region is further configured to depict an amount of time remaining prior to un-muting the alarm after being muted. 12. The system of claim 11, wherein the mute area is selectable by a user to reset the amount of time remaining prior to un-muting the alarm. 13. The system of claim 1, wherein the computing apparatus is further configured to execute allowing, when the alarm region is docked, a user to undock the alarm region. 14. The system of claim 1, wherein the docked alarm region further comprises an undock area configured to be selected by a user to undock the alarm region. 15. The system of claim 1, wherein the alarm region further comprises at least one action area, wherein the computing apparatus is further configured to execute displaying on the graphical user interface, when an action area of the at least one action area is selected, an instruction region comprising information relevant to curing the issued alarm. 16. The system of claim 1, wherein the alarm region further comprises at least one action area, wherein the computing apparatus is further configured to execute displaying on the graphical user interface, when an action area of the at least one action area is selected, more information relevant to the issued alarm. 17. The system of claim 1, wherein an operations region is displayed on the graphical user interface, wherein the operations region comprises a plurality of fluid areas, wherein each fluid area of the plurality of fluid areas depicts a flow rate, and further wherein, when an alarm is issued, the alarm region is depicted at least partially over the plurality of fluid areas. 18. The system of claim 1, wherein the computing apparatus is further configured to execute disabling, when the alarm region is displayed on the graphical user interface without being docked, a user from interacting with any portion the graphical user interface except the alarm region. 19. The system of claim 1, wherein the computing apparatus is further configured to execute allowing, when the alarm region is docked, a user to interact with the graphical user interface. 20. The system of claim 1, wherein the computing apparatus is further configured to execute removing, when the alarm is cured, the alarm region from the graphical user interface. 21. The system of claim 1, wherein the size of the alarm region is scaled based on a severity of the issued alarm or a status light may be activated in a mode corresponding to the alarm. 22. The system of claim 1, wherein a status region is further displayed on the graphical user interface, wherein the status region comprises therapy information relevant to the extracorporeal blood treatment being performed, wherein the alarm region is docked to the status region, and wherein, when the alarm region is docked in the status region, the alarm region comprises at least a portion of the therapy information of the status region. 23. The system of claim 1, wherein a dock region is displayed on the graphical user interface, wherein a plurality of alarm regions are docked and displayed in one or more alarm dock areas of the dock region. | Extracorporeal blood treatment systems and methods to display information related to an alarm issued during extracorporeal blood treatments. For example, when an alarm is issued, an alarm region may be depicted on a graphical user interface. The alarm region may be configured to be docked into another region of the graphical user interface to, e.g., expose an operations region, etc.1. An extracorporeal blood treatment system comprising:
a display apparatus comprising a graphical user interface, wherein the graphical user interface is configured to depict an operations region; and a computing apparatus operatively coupled to the display apparatus, wherein the computing apparatus is configured to: display on the graphical user interface an operations region; issue an alarm indicating an issue with an extracorporeal blood treatment being performed; display, when an alarm is issued, an alarm region in the operations region, wherein the alarm region comprises information relevant to the issued alarm; and allow a user to dock the alarm region to another region of the graphical user interface other than the operations region. 2. A method for an extracorporeal blood treatment system comprising:
providing a graphical user interface configured to depict an operations region; displaying on the graphical user interface an operations region; issuing an alarm indicating an issue with an extracorporeal blood treatment being performed; displaying, when an alarm is issued, an alarm region in the operations region, wherein the alarm region comprises information relevant to the issued alarm; and allowing a user to dock the alarm region to another region of the graphical user interface other than the operations region. 3. The system of claim 1, wherein a status region is further displayed on the graphical user interface, and wherein the alarm region is docked to the status region. 4. The system of claim 3, wherein the operations region is larger than the status region. 5. An extracorporeal blood treatment system comprising:
a display apparatus comprising a graphical user interface, wherein the graphical user interface is configured to depict a dock region; and a computing apparatus operatively coupled to the display apparatus, wherein the computing apparatus is configured to: display on the graphical user interface a dock region; issue an alarm indicating an issue with an extracorporeal blood treatment being performed; display, when an alarm is issued, an alarm region on the graphical user interface, wherein the alarm region comprises information relevant to the issued alarm; and allow a user to dock the alarm region to the dock region. 6. A method for an extracorporeal blood treatment system comprising:
providing a graphical user interface configured to depict a dock region; displaying on the graphical user interface a dock region; issuing an alarm indicating an issue with an extracorporeal blood treatment being performed; displaying, when an alarm is issued, an alarm region on the graphical user interface, wherein the alarm region comprises information relevant to the issued alarm; and allowing a user to dock the alarm region to the dock region. 7. The system of claim 1, wherein the alarm region further comprises a dock area configured to be selected by a user to dock the alarm region. 8. The system of claim 1, wherein animation is used to show the alarm region moving and shrinking as the alarm region is being docked. 9. The system of claim 1, wherein the alarm region further comprises a mute area configured to be selected by a user to mute the alarm. 10. The system of claim 1, wherein the alarm is muted automatically when the alarm is docked. 11. The system of claim 9, wherein the alarm region is further configured to depict an amount of time remaining prior to un-muting the alarm after being muted. 12. The system of claim 11, wherein the mute area is selectable by a user to reset the amount of time remaining prior to un-muting the alarm. 13. The system of claim 1, wherein the computing apparatus is further configured to execute allowing, when the alarm region is docked, a user to undock the alarm region. 14. The system of claim 1, wherein the docked alarm region further comprises an undock area configured to be selected by a user to undock the alarm region. 15. The system of claim 1, wherein the alarm region further comprises at least one action area, wherein the computing apparatus is further configured to execute displaying on the graphical user interface, when an action area of the at least one action area is selected, an instruction region comprising information relevant to curing the issued alarm. 16. The system of claim 1, wherein the alarm region further comprises at least one action area, wherein the computing apparatus is further configured to execute displaying on the graphical user interface, when an action area of the at least one action area is selected, more information relevant to the issued alarm. 17. The system of claim 1, wherein an operations region is displayed on the graphical user interface, wherein the operations region comprises a plurality of fluid areas, wherein each fluid area of the plurality of fluid areas depicts a flow rate, and further wherein, when an alarm is issued, the alarm region is depicted at least partially over the plurality of fluid areas. 18. The system of claim 1, wherein the computing apparatus is further configured to execute disabling, when the alarm region is displayed on the graphical user interface without being docked, a user from interacting with any portion the graphical user interface except the alarm region. 19. The system of claim 1, wherein the computing apparatus is further configured to execute allowing, when the alarm region is docked, a user to interact with the graphical user interface. 20. The system of claim 1, wherein the computing apparatus is further configured to execute removing, when the alarm is cured, the alarm region from the graphical user interface. 21. The system of claim 1, wherein the size of the alarm region is scaled based on a severity of the issued alarm or a status light may be activated in a mode corresponding to the alarm. 22. The system of claim 1, wherein a status region is further displayed on the graphical user interface, wherein the status region comprises therapy information relevant to the extracorporeal blood treatment being performed, wherein the alarm region is docked to the status region, and wherein, when the alarm region is docked in the status region, the alarm region comprises at least a portion of the therapy information of the status region. 23. The system of claim 1, wherein a dock region is displayed on the graphical user interface, wherein a plurality of alarm regions are docked and displayed in one or more alarm dock areas of the dock region. | 2,100 |
5,803 | 5,803 | 14,342,469 | 2,144 | The present invention relates to annotating a medical image. For an improved manual insertion of information in a medical image, it is provided to display an image ( 130 ) of a tubular structure; and to display a graphical representation ( 132 ) of at least one segmented portion of the tubular structure; wherein the graphical representation comprises at least one indicator line representing the portion's shape and/or extension; and wherein the graphical representation is displayed in combination with the image of the tubular structure; and to generate and display at least one marker ( 128 ) overlaid to the image of the tubular structure; wherein the marker is movable ( 134 ) along the graphical representation; and to position the marker at a location along the graphical representation to indicate a predetermined feature of the tubular structure. | 1. An annotating device for annotating a medical image, comprising:
a processing unit; a display unit: and an interface unit; wherein the processing unit is configured to generate at least one marker overlaid to an image of a tubular structure; wherein the display unit is configured to display an image of a tubular structure; and to display a graphical representation of at least one segmented portion of the tubular structure, wherein the graphical representation comprises at least one indicator line representing the portion's shape and/or extension, and wherein the graphical representation is displayed in combination with the image of the tubular structure; and to display at least one marker overlaid to the image of the tubular structure; wherein the interface unit is configured to position the marker at a location along the graphical representation to indicate a predetermined feature of the tubular structure; wherein the marker is movable along the graphical representation; and wherein the marker is:
i) a 2D-marker with an orientation in relation to the at least one segmented portion; wherein the 2D-marker is configured to slide along the portion; or
ii) a 3D-marker arrow with a spatial orientation in relation to the at least one segmented portion; wherein the 3D arrow is configured to slide along the portion and to rotate around the portion. 2. Annotating device according to claim 1, wherein the processing unit is configured to generate and initially position the at least one marker automatically next to the graphical representation. 3. A medical X-ray imaging system, comprising:
X-ray image acquisition arrangement with an X-ray source and an X-ray detector; and an annotating device according to claim 1; wherein the X-ray image acquisition arrangement is configured to provide an image of a tubular structure. 4. A method for annotating a medical image, comprising the following steps:
a) displaying an image of a tubular structure; b) displaying a graphical representation of at least one segmented portion of the tubular structure; wherein the graphical representation comprises at least one indicator line representing the portion's shape and/or extension; and wherein the graphical representation is displayed in combination with the image of the tubular structure; c) generating and displaying at least one marker overlaid on the image of the tubular structure; wherein the marker is movable along the graphical representation; and d) positioning the marker at a location along the graphical representation to indicate a predetermined feature of the tubular structure; and
wherein the marker is:
i) a 2D-marker with an orientation in relation to the at least one segmented portion; wherein the 2D-marker is slideable along the portion; or ii) a 3D-marker arrow with a spatial orientation in relation to the at least one segmented portion; wherein the 3D arrow is slideable along the portion and rotatable around the portion. 5. Method according to claim 4, wherein in step c) the at least one marker is generated and initially positioned automatically next to the graphical representation. 6. Method according to claim 4, wherein the movement possibilities of the marker in relation to the displayed image are restricted at least in one dimension;
wherein the restriction is related to the graphical representation. 7-8. (canceled) 9. Method according to claim 4, wherein the predetermined feature is at least one of the group of:
a bifurcation of a (sub-) branch of the tubular structure; an aneurysm; a calcification within the tubular structure; a device placed inside the tubular structure; a dissection of the tubular structure; a lesion; a stenosis; and a thrombus. 10. Method according to claim 4, wherein the image of the tubular structure is a fluoroscopy image. 11. Method according to claim 4, wherein the image is a 3D-image of the tubular structure. 12. Method according to claim 4, wherein the graphical representation is displayed overlaid to the image of the tubular structure. 13. Method according to claim 4, wherein the tubular structure is a vascular structure; and
wherein the segmented portion is a segmented vessel. 14. A computer program element for controlling an apparatus according to claim 1. 15. A computer readable medium having stored the program element of claim 14. | The present invention relates to annotating a medical image. For an improved manual insertion of information in a medical image, it is provided to display an image ( 130 ) of a tubular structure; and to display a graphical representation ( 132 ) of at least one segmented portion of the tubular structure; wherein the graphical representation comprises at least one indicator line representing the portion's shape and/or extension; and wherein the graphical representation is displayed in combination with the image of the tubular structure; and to generate and display at least one marker ( 128 ) overlaid to the image of the tubular structure; wherein the marker is movable ( 134 ) along the graphical representation; and to position the marker at a location along the graphical representation to indicate a predetermined feature of the tubular structure.1. An annotating device for annotating a medical image, comprising:
a processing unit; a display unit: and an interface unit; wherein the processing unit is configured to generate at least one marker overlaid to an image of a tubular structure; wherein the display unit is configured to display an image of a tubular structure; and to display a graphical representation of at least one segmented portion of the tubular structure, wherein the graphical representation comprises at least one indicator line representing the portion's shape and/or extension, and wherein the graphical representation is displayed in combination with the image of the tubular structure; and to display at least one marker overlaid to the image of the tubular structure; wherein the interface unit is configured to position the marker at a location along the graphical representation to indicate a predetermined feature of the tubular structure; wherein the marker is movable along the graphical representation; and wherein the marker is:
i) a 2D-marker with an orientation in relation to the at least one segmented portion; wherein the 2D-marker is configured to slide along the portion; or
ii) a 3D-marker arrow with a spatial orientation in relation to the at least one segmented portion; wherein the 3D arrow is configured to slide along the portion and to rotate around the portion. 2. Annotating device according to claim 1, wherein the processing unit is configured to generate and initially position the at least one marker automatically next to the graphical representation. 3. A medical X-ray imaging system, comprising:
X-ray image acquisition arrangement with an X-ray source and an X-ray detector; and an annotating device according to claim 1; wherein the X-ray image acquisition arrangement is configured to provide an image of a tubular structure. 4. A method for annotating a medical image, comprising the following steps:
a) displaying an image of a tubular structure; b) displaying a graphical representation of at least one segmented portion of the tubular structure; wherein the graphical representation comprises at least one indicator line representing the portion's shape and/or extension; and wherein the graphical representation is displayed in combination with the image of the tubular structure; c) generating and displaying at least one marker overlaid on the image of the tubular structure; wherein the marker is movable along the graphical representation; and d) positioning the marker at a location along the graphical representation to indicate a predetermined feature of the tubular structure; and
wherein the marker is:
i) a 2D-marker with an orientation in relation to the at least one segmented portion; wherein the 2D-marker is slideable along the portion; or ii) a 3D-marker arrow with a spatial orientation in relation to the at least one segmented portion; wherein the 3D arrow is slideable along the portion and rotatable around the portion. 5. Method according to claim 4, wherein in step c) the at least one marker is generated and initially positioned automatically next to the graphical representation. 6. Method according to claim 4, wherein the movement possibilities of the marker in relation to the displayed image are restricted at least in one dimension;
wherein the restriction is related to the graphical representation. 7-8. (canceled) 9. Method according to claim 4, wherein the predetermined feature is at least one of the group of:
a bifurcation of a (sub-) branch of the tubular structure; an aneurysm; a calcification within the tubular structure; a device placed inside the tubular structure; a dissection of the tubular structure; a lesion; a stenosis; and a thrombus. 10. Method according to claim 4, wherein the image of the tubular structure is a fluoroscopy image. 11. Method according to claim 4, wherein the image is a 3D-image of the tubular structure. 12. Method according to claim 4, wherein the graphical representation is displayed overlaid to the image of the tubular structure. 13. Method according to claim 4, wherein the tubular structure is a vascular structure; and
wherein the segmented portion is a segmented vessel. 14. A computer program element for controlling an apparatus according to claim 1. 15. A computer readable medium having stored the program element of claim 14. | 2,100 |
5,804 | 5,804 | 14,411,221 | 2,195 | A power supply system has a plurality of power generating devices and a plurality of power consuming devices. The power generating devices and the power consuming devices are interconnected by a power transmission network. At least one of the power generating devices or at least one of the power consuming devices has a control device which is suitable, in an event of a change of a network frequency of the power transmission network, to at least temporarily vary a power output or power consumption of the power generating device or the power consumption device by a power variation value which is proportional to the temporal change of the network frequency of the power transmission network. | 1-14. (canceled) 15. A power supply system, comprising:
a plurality of power generating devices; a plurality of power consuming devices; a power transmission network interconnecting said power generating devices with said power consuming devices; and at least one of said power generating devices or at least one of said power consuming devices having a control device being suitable, in an event of a change in a network frequency of said power transmission network, to vary a power output or power consumption of said at least one power generating device or said at least one power consuming device at least temporarily by a power variation value being proportional to a rate of change of the network frequency of said power transmission network. 16. The power supply system according to claim 15, further comprising an energy store connected to said control device, said control device embodied such that in an event of an increase in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said power transmission network and stores the energy in said energy store, and in an event of a decrease in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said energy store and feeds the energy into said power transmission network. 17. The power supply system according to claim 16, wherein said at least one power generating device or said at least one power consuming device has an inverter having at least one intermediate circuit capacitor. 18. The power supply system according to claim 17, wherein:
said energy store is formed by means of said at least one intermediate circuit capacitor of said inverter; and said control device is embodied such that in an event of an increase in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said power transmission network and stores the energy in said intermediate circuit capacitor of said inverter, and in an event of a decrease in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said intermediate circuit capacitor of said inverter and feeds the energy into said power transmission network. 19. The power supply system according to claim 15, wherein said at least one power generating device or said at least one power consuming device has a battery as an energy store, from which the energy is extracted or into which the energy is fed in an event of a change in the network frequency of said power transmission network, the extracted or fed-in power being proportional to the rate of change of the network frequency of said power transmission network. 20. The power supply system according to claim 15, wherein said at least one power generating device or said at least one power consuming device has an inverter containing at least one intermediate circuit capacitor, at least one battery and said control device, said control device is embodied such that in an event of an increase in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said power transmission network and stores the energy in said intermediate circuit capacitor and said battery, and in an event of a decrease in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said intermediate circuit capacitor and said battery and feeds the energy into said power transmission network. 21. The power supply system according to claim 15, wherein said at least one power generating device is a solar power generating device or a wind power generating device. 22. A power generating device for a power supply system having a power transmission network, the power generating device comprising:
a control device embodied such that in an event of a change in a network frequency of the power transmission network said control device varies a power output of the power generating device at least temporarily by a power variation value being proportional to a rate of change of a network frequency of the power transmission network. 23. The power generating device according to claim 22, further comprising an energy store, said control device embodied such that in an event of an increase in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from the power transmission network and stores the energy in said energy store, and in an event of a decrease in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said energy store and feeds the energy into the power transmission network. 24. A power consuming device for a power supply system having a power transmission network, the power consuming device comprising:
a control device embodied such that in an event of a change in a network frequency of the power transmission network said control device varies a power consumption of the power consuming device at least temporarily by a power variation value being proportional to a rate of change of the network frequency of the power transmission network. 25. The power consuming device according to claim 24, further comprising an energy store, said control device embodied such that in an event of an increase in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from the power transmission network and stores the energy in said energy store of the power consuming device, and in an event of a decrease in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said energy store and feeds the energy into the power transmission network. 26. A method for operating a power supply system having a plurality of power generating devices and a plurality of power consuming devices, the power generating devices and the power consuming devices are interconnected by a power transmission network, which comprises the step of:
varying a power output or power consumption of at least one of the power generating devices or at least one of the power consuming devices at least temporarily in proportion to a rate of change of a network frequency of the power transmission network in an event of a change in the network frequency of the power transmission network. 27. The method according to claim 26, which further comprises effecting a change in the power output or the power consumption through buffering of energy in an energy store. 28. The method according to claim 27, which further comprises effecting the change in the power output or the power consumption through buffering of the energy at least also in an intermediate circuit capacitor of an inverter. | A power supply system has a plurality of power generating devices and a plurality of power consuming devices. The power generating devices and the power consuming devices are interconnected by a power transmission network. At least one of the power generating devices or at least one of the power consuming devices has a control device which is suitable, in an event of a change of a network frequency of the power transmission network, to at least temporarily vary a power output or power consumption of the power generating device or the power consumption device by a power variation value which is proportional to the temporal change of the network frequency of the power transmission network.1-14. (canceled) 15. A power supply system, comprising:
a plurality of power generating devices; a plurality of power consuming devices; a power transmission network interconnecting said power generating devices with said power consuming devices; and at least one of said power generating devices or at least one of said power consuming devices having a control device being suitable, in an event of a change in a network frequency of said power transmission network, to vary a power output or power consumption of said at least one power generating device or said at least one power consuming device at least temporarily by a power variation value being proportional to a rate of change of the network frequency of said power transmission network. 16. The power supply system according to claim 15, further comprising an energy store connected to said control device, said control device embodied such that in an event of an increase in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said power transmission network and stores the energy in said energy store, and in an event of a decrease in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said energy store and feeds the energy into said power transmission network. 17. The power supply system according to claim 16, wherein said at least one power generating device or said at least one power consuming device has an inverter having at least one intermediate circuit capacitor. 18. The power supply system according to claim 17, wherein:
said energy store is formed by means of said at least one intermediate circuit capacitor of said inverter; and said control device is embodied such that in an event of an increase in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said power transmission network and stores the energy in said intermediate circuit capacitor of said inverter, and in an event of a decrease in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said intermediate circuit capacitor of said inverter and feeds the energy into said power transmission network. 19. The power supply system according to claim 15, wherein said at least one power generating device or said at least one power consuming device has a battery as an energy store, from which the energy is extracted or into which the energy is fed in an event of a change in the network frequency of said power transmission network, the extracted or fed-in power being proportional to the rate of change of the network frequency of said power transmission network. 20. The power supply system according to claim 15, wherein said at least one power generating device or said at least one power consuming device has an inverter containing at least one intermediate circuit capacitor, at least one battery and said control device, said control device is embodied such that in an event of an increase in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said power transmission network and stores the energy in said intermediate circuit capacitor and said battery, and in an event of a decrease in the network frequency of said power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said intermediate circuit capacitor and said battery and feeds the energy into said power transmission network. 21. The power supply system according to claim 15, wherein said at least one power generating device is a solar power generating device or a wind power generating device. 22. A power generating device for a power supply system having a power transmission network, the power generating device comprising:
a control device embodied such that in an event of a change in a network frequency of the power transmission network said control device varies a power output of the power generating device at least temporarily by a power variation value being proportional to a rate of change of a network frequency of the power transmission network. 23. The power generating device according to claim 22, further comprising an energy store, said control device embodied such that in an event of an increase in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from the power transmission network and stores the energy in said energy store, and in an event of a decrease in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said energy store and feeds the energy into the power transmission network. 24. A power consuming device for a power supply system having a power transmission network, the power consuming device comprising:
a control device embodied such that in an event of a change in a network frequency of the power transmission network said control device varies a power consumption of the power consuming device at least temporarily by a power variation value being proportional to a rate of change of the network frequency of the power transmission network. 25. The power consuming device according to claim 24, further comprising an energy store, said control device embodied such that in an event of an increase in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from the power transmission network and stores the energy in said energy store of the power consuming device, and in an event of a decrease in the network frequency of the power transmission network said control device extracts an amount of energy proportional to the rate of change of the network frequency from said energy store and feeds the energy into the power transmission network. 26. A method for operating a power supply system having a plurality of power generating devices and a plurality of power consuming devices, the power generating devices and the power consuming devices are interconnected by a power transmission network, which comprises the step of:
varying a power output or power consumption of at least one of the power generating devices or at least one of the power consuming devices at least temporarily in proportion to a rate of change of a network frequency of the power transmission network in an event of a change in the network frequency of the power transmission network. 27. The method according to claim 26, which further comprises effecting a change in the power output or the power consumption through buffering of energy in an energy store. 28. The method according to claim 27, which further comprises effecting the change in the power output or the power consumption through buffering of the energy at least also in an intermediate circuit capacitor of an inverter. | 2,100 |
5,805 | 5,805 | 13,622,948 | 2,129 | Technologies and implementations for determining one or more dimensions of a space and/or object and visualizing usage of space are generally disclosed. | 1. A computer-implemented method comprising:
determining one or more dimensions of a space; receiving a first image portraying a first object; determining one or more dimensions of the first object; and providing an indication of whether the first object will fit within the space based at least in part on the determined one or more dimensions of the space and the determined one or more dimensions of the first object. 2. The computer-implemented method of claim 1, wherein providing an indication of whether the first object will fit within the space comprises generating a second image portraying a representation of the space and the first object located in the representation of the space. 3. The computer-implemented method of claim 1, wherein determining one or more dimensions of the space comprises:
receiving a second image portraying the space; and determining the one or more dimensions of the space based at least in part on the received second image. 4. The computer-implemented method of claim 3, wherein determining the one or more dimensions of the space based at least in part on the received second image comprises:
determining a location of the space; accessing a lookup table of known spaces, dimensions, and locations; identifying a known space in the lookup table substantially matching the determined location; and associating one or more dimensions in the lookup table corresponding to the identified known space within the space. 5. The computer-implemented method of claim 3, wherein the second image portrays a second object being located in the space and determining the one or more dimensions of the space based at least in part on the received second image comprises:
determining one or more dimensions of the second object; determining a position and/or orientation of the second object within the space; and determining one or more dimensions of the space based at least in part on the determined position and/or orientation of the second object and the determined one or more dimensions of the second object. 6. The computer-implemented method of claim 1, further comprising:
receiving a second image portraying the space; and generating a third image by overlaying at least a portion of the second image with at least a portion of the first image, wherein the portion of the first image includes the first object. 7. The computer-implemented method of claim 1, wherein determining one or more dimensions of the first object comprises:
determining a class of the first object; and determining one or more dimension of the first object based at least in part on the determined class. 8. The computer-implemented method of claim 7, wherein determining a class of the first object comprises:
determining one or more characteristics of the first object; and identifying the class of the first object based at least in part on the determined one or more characteristics of the first object. 9. The computer-implemented method of claim 8, wherein identifying the class of the first object based at least in part on the determined one or more characteristics of the first object comprises:
accessing a database of classes and class characteristics; and identifying a class in the database that substantially includes the determined one or more characteristics. 10. The computer-implemented method of claim 1, wherein the first image further portrays a second object having one or more known dimensions and determining one or more dimensions of the first object comprises:
determining a position and/or orientation of the first object relative to the second object; and determining one or more dimensions of the first object based at least in part on the determined position and/or orientations of the first object relative to the second object and the one or more known dimensions of the second object. 11. An apparatus comprising:
a processor; and one or more machine readable medium having instructions stored therein, which when executed by the processor cause the apparatus to provide an indication of whether a first object will fit within a space by: determining one or more dimensions of the space; receiving a first image portraying the first object; determining one or more dimensions of the first object; and providing an indication of whether the first object will fit within the space based at least in part on the determined one or more dimensions of the space and the determined one or more dimensions of the first object. 12. The apparatus of claim 11, wherein providing an indication of whether the first object will fit within the space comprises generating a second image portraying a representation of the space and the first object located in the representation of the space. 13. The apparatus of claim 11, wherein determining one or more dimensions of the space comprises:
receiving a second image portraying the space; and determining the one or more dimensions of the space based at least in part on the received second image. 14. The apparatus of claim 11, further comprising:
receiving a second image portraying the space; and generating a third image by overlaying at least a portion of the second image with at least a portion of the first image, wherein the portion of the first image includes the first object. 15. The apparatus of claim 11, wherein determining one or more dimensions of the first object comprises:
determining a class of the first object; and determining one or more dimension of the first object based at least in part on the determined class. 16. A machine-readable non-transitory medium having instructions stored therein which, when executed by one or more processors, cause a computer to:
determine one or more dimensions of a space; receive a first image portraying a first object; determine one or more dimensions of the first object; and provide an indication of whether the first object will fit within the space based at least in part on the determined one or more dimensions of the space and the determined one or more dimensions of the first object. 17. The machine-readable non-transitory medium of claim 16, wherein providing an indication of whether the first object will fit within the space comprises generating a second image portraying a representation of the space and the first object located in the representation of the space. 18. The machine-readable non-transitory medium of claim 1, wherein determining one or more dimensions of the space comprises:
receiving a second image portraying the space; and determining the one or more dimensions of the space based at least in part on the received second image. 19. The machine-readable non-transitory medium of claim 18, wherein the second image portrays a second object being located in the space and determining the one or more dimensions of the space based at least in part on the received second image comprises:
determining one or more dimensions of the second object; determining a position and/or orientation of the second object within the space; and determining one or more dimensions of the space based at least in part on the determined position and/or orientation of the second object and the determined one or more dimensions of the second object. 20. The machine-readable non-transitory medium of claim 16, further comprising:
receiving a second image portraying the space; and generating a third image by overlaying at least a portion of the second image with at least a portion of the first image, wherein the portion of the first image includes the first object. | Technologies and implementations for determining one or more dimensions of a space and/or object and visualizing usage of space are generally disclosed.1. A computer-implemented method comprising:
determining one or more dimensions of a space; receiving a first image portraying a first object; determining one or more dimensions of the first object; and providing an indication of whether the first object will fit within the space based at least in part on the determined one or more dimensions of the space and the determined one or more dimensions of the first object. 2. The computer-implemented method of claim 1, wherein providing an indication of whether the first object will fit within the space comprises generating a second image portraying a representation of the space and the first object located in the representation of the space. 3. The computer-implemented method of claim 1, wherein determining one or more dimensions of the space comprises:
receiving a second image portraying the space; and determining the one or more dimensions of the space based at least in part on the received second image. 4. The computer-implemented method of claim 3, wherein determining the one or more dimensions of the space based at least in part on the received second image comprises:
determining a location of the space; accessing a lookup table of known spaces, dimensions, and locations; identifying a known space in the lookup table substantially matching the determined location; and associating one or more dimensions in the lookup table corresponding to the identified known space within the space. 5. The computer-implemented method of claim 3, wherein the second image portrays a second object being located in the space and determining the one or more dimensions of the space based at least in part on the received second image comprises:
determining one or more dimensions of the second object; determining a position and/or orientation of the second object within the space; and determining one or more dimensions of the space based at least in part on the determined position and/or orientation of the second object and the determined one or more dimensions of the second object. 6. The computer-implemented method of claim 1, further comprising:
receiving a second image portraying the space; and generating a third image by overlaying at least a portion of the second image with at least a portion of the first image, wherein the portion of the first image includes the first object. 7. The computer-implemented method of claim 1, wherein determining one or more dimensions of the first object comprises:
determining a class of the first object; and determining one or more dimension of the first object based at least in part on the determined class. 8. The computer-implemented method of claim 7, wherein determining a class of the first object comprises:
determining one or more characteristics of the first object; and identifying the class of the first object based at least in part on the determined one or more characteristics of the first object. 9. The computer-implemented method of claim 8, wherein identifying the class of the first object based at least in part on the determined one or more characteristics of the first object comprises:
accessing a database of classes and class characteristics; and identifying a class in the database that substantially includes the determined one or more characteristics. 10. The computer-implemented method of claim 1, wherein the first image further portrays a second object having one or more known dimensions and determining one or more dimensions of the first object comprises:
determining a position and/or orientation of the first object relative to the second object; and determining one or more dimensions of the first object based at least in part on the determined position and/or orientations of the first object relative to the second object and the one or more known dimensions of the second object. 11. An apparatus comprising:
a processor; and one or more machine readable medium having instructions stored therein, which when executed by the processor cause the apparatus to provide an indication of whether a first object will fit within a space by: determining one or more dimensions of the space; receiving a first image portraying the first object; determining one or more dimensions of the first object; and providing an indication of whether the first object will fit within the space based at least in part on the determined one or more dimensions of the space and the determined one or more dimensions of the first object. 12. The apparatus of claim 11, wherein providing an indication of whether the first object will fit within the space comprises generating a second image portraying a representation of the space and the first object located in the representation of the space. 13. The apparatus of claim 11, wherein determining one or more dimensions of the space comprises:
receiving a second image portraying the space; and determining the one or more dimensions of the space based at least in part on the received second image. 14. The apparatus of claim 11, further comprising:
receiving a second image portraying the space; and generating a third image by overlaying at least a portion of the second image with at least a portion of the first image, wherein the portion of the first image includes the first object. 15. The apparatus of claim 11, wherein determining one or more dimensions of the first object comprises:
determining a class of the first object; and determining one or more dimension of the first object based at least in part on the determined class. 16. A machine-readable non-transitory medium having instructions stored therein which, when executed by one or more processors, cause a computer to:
determine one or more dimensions of a space; receive a first image portraying a first object; determine one or more dimensions of the first object; and provide an indication of whether the first object will fit within the space based at least in part on the determined one or more dimensions of the space and the determined one or more dimensions of the first object. 17. The machine-readable non-transitory medium of claim 16, wherein providing an indication of whether the first object will fit within the space comprises generating a second image portraying a representation of the space and the first object located in the representation of the space. 18. The machine-readable non-transitory medium of claim 1, wherein determining one or more dimensions of the space comprises:
receiving a second image portraying the space; and determining the one or more dimensions of the space based at least in part on the received second image. 19. The machine-readable non-transitory medium of claim 18, wherein the second image portrays a second object being located in the space and determining the one or more dimensions of the space based at least in part on the received second image comprises:
determining one or more dimensions of the second object; determining a position and/or orientation of the second object within the space; and determining one or more dimensions of the space based at least in part on the determined position and/or orientation of the second object and the determined one or more dimensions of the second object. 20. The machine-readable non-transitory medium of claim 16, further comprising:
receiving a second image portraying the space; and generating a third image by overlaying at least a portion of the second image with at least a portion of the first image, wherein the portion of the first image includes the first object. | 2,100 |
5,806 | 5,806 | 14,465,971 | 2,163 | A method of presenting Internet search results includes obtaining Internet search results in response to a search request from a first user of a site. Users of the site have profiles with information regarding the users. The first user has a profile with information associating certain of the users to the first user. The search results are ranked such that the search results related to the information regarding the users associated with the first user are ranked highest. The search results are displayed on a display according to the ranking | 1. A method of presenting search results to a user of a social network web site, wherein users of the site have profiles with information regarding the users, wherein a first user of the site has a profile with information associating profiles of certain of the users as friends to the first user and lists items on the site as an interest or affinity of the first user, the method comprising:
obtaining by a server search results in response to a search request from the first user; determining a rank for use in providing search results to the first user based at least in part on strength of relationships between the first user and other users of the site, wherein a determination of the strength of relationships between the first user and other users of the site includes
identifying the profiles of users with which the first user has associated as a friend; and
identifying the profiles of users which list on the site as an interest or affinity any of the same items listed on the site as an interest or affinity of the first user; and
displaying on a display the search results using the rank as a factor in deciding whether a given search result should be displayed. 2. The method of claim 1 wherein:
the determination of the strength of relationships further includes identifying the profiles of users having a second order relationship with the first user. 3. The method of claim 1 wherein:
the rank is determined further based on the information in the profiles of users associated as friends of the first user such that the search results related to the information in the profiles of users that are friends with the first user are ranked higher than the search results unrelated to the information in the profiles of users that are friends with the first user. 4. The method of claim 1 wherein the profile of the first user further includes information identifying other users of the site who the first user trusts, wherein:
the rank is determined further based on the information in the profiles of users trusted by the first user such that the search results related to the information in the profiles of users trusted by the first user are ranked higher than the search results unrelated to the information in the profiles of users trusted by the first user. 5. The method of claim 1 wherein the information in the profile of the first user further includes a group membership of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who are members of the same group of the first user. 6. The method of claim 1 wherein:
the determination of the strength of relationships further includes identifying the profiles of users who are family members of the first user. 7. The method of claim 1 wherein the information in the profile of the first user further includes an occupation of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same occupation as the first user. 8. The method of claim 1 wherein the information in the profile of the first user further includes a gender of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same gender as the first user. 9. The method of claim 1 wherein the information in the profile of the first user further includes a marital status of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same marital status as the first user. 10. The method of claim 1 wherein the information in the profile of the first user further includes an age of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have an age within a given age range as the first user. 11. The method of claim 1 wherein the information in the profile of the first user further includes an employer of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same employer as the first user. 12. The method of claim 1 wherein:
the rank is determined further based on the information in the profiles of users known to the first user such that the search results related to the information in the profiles of users known to the first user are ranked higher than the search results unrelated to the information in the profiles of users known to the first user. 13. The method of claim 1 wherein:
the displayed search results include items on the site that are not profiles. 14. The method of claim 1 wherein:
the displayed search results include profiles of users on the site. 15. The method of claim 1 wherein:
the displayed search results include advertisements of users of the site. 16. The method of claim 1 wherein:
the displayed search results include products for sale from users of the site. 17. The method of claim 1 wherein:
the determination of the strength of relationships considers popularity of an item on the site and whether users are members of the same group and wherein the search results include search results that are referred to in the profile of the first user. 18. A method of identifying a list of items relating to a social network, wherein users of the social network have profiles and/or webpages with information regarding the users and/or their activities, products, and/or services, wherein a first user has a profile with information associating certain of the users to the first user, the method comprising:
obtaining by a server a list of items relating to the social network to be displayed to a first user, wherein the items include one or more of advertisements relating to businesses, products, and/or services of users of the social network, user profiles on the social network, and/or webpages on the social network; and creating the list of items relating to the social network using a process including
identifying profiles of users that have been associated as friends with the profile of the first user by the first user;
identifying profiles of users that have a second degree of separation from the first user;
identifying profiles of users that are in a family relationship with the first user;
identifying items relating to the social network for which a user has a like, interest, and/or affinity;
identifying profiles of users that have a common like, interest, and/or affinity with the first user;
identifying profiles of users that have the same group membership as the first user; and
determining a rank that indicates the strength of the relationship of other users with the first user based upon at least the common interest or affinities of the other users with the first user; and
using the rank as a factor in creating the list of items relating to the social network. 19. A method of presenting Internet search results comprising:
obtaining by a server Internet search results in response to a search request from a first user of a site, wherein users of the site have profiles with information regarding the users, wherein the first user has a profile with information associating certain of the users to the first user; ranking by the server the search results such that the search results which are related to the information regarding the users associated with the first user are ranked highest; and displaying on a display the search results according to the ranking 20. The method of claim 19 wherein:
the site is a social network site. | A method of presenting Internet search results includes obtaining Internet search results in response to a search request from a first user of a site. Users of the site have profiles with information regarding the users. The first user has a profile with information associating certain of the users to the first user. The search results are ranked such that the search results related to the information regarding the users associated with the first user are ranked highest. The search results are displayed on a display according to the ranking1. A method of presenting search results to a user of a social network web site, wherein users of the site have profiles with information regarding the users, wherein a first user of the site has a profile with information associating profiles of certain of the users as friends to the first user and lists items on the site as an interest or affinity of the first user, the method comprising:
obtaining by a server search results in response to a search request from the first user; determining a rank for use in providing search results to the first user based at least in part on strength of relationships between the first user and other users of the site, wherein a determination of the strength of relationships between the first user and other users of the site includes
identifying the profiles of users with which the first user has associated as a friend; and
identifying the profiles of users which list on the site as an interest or affinity any of the same items listed on the site as an interest or affinity of the first user; and
displaying on a display the search results using the rank as a factor in deciding whether a given search result should be displayed. 2. The method of claim 1 wherein:
the determination of the strength of relationships further includes identifying the profiles of users having a second order relationship with the first user. 3. The method of claim 1 wherein:
the rank is determined further based on the information in the profiles of users associated as friends of the first user such that the search results related to the information in the profiles of users that are friends with the first user are ranked higher than the search results unrelated to the information in the profiles of users that are friends with the first user. 4. The method of claim 1 wherein the profile of the first user further includes information identifying other users of the site who the first user trusts, wherein:
the rank is determined further based on the information in the profiles of users trusted by the first user such that the search results related to the information in the profiles of users trusted by the first user are ranked higher than the search results unrelated to the information in the profiles of users trusted by the first user. 5. The method of claim 1 wherein the information in the profile of the first user further includes a group membership of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who are members of the same group of the first user. 6. The method of claim 1 wherein:
the determination of the strength of relationships further includes identifying the profiles of users who are family members of the first user. 7. The method of claim 1 wherein the information in the profile of the first user further includes an occupation of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same occupation as the first user. 8. The method of claim 1 wherein the information in the profile of the first user further includes a gender of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same gender as the first user. 9. The method of claim 1 wherein the information in the profile of the first user further includes a marital status of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same marital status as the first user. 10. The method of claim 1 wherein the information in the profile of the first user further includes an age of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have an age within a given age range as the first user. 11. The method of claim 1 wherein the information in the profile of the first user further includes an employer of the first user, wherein:
the determination of the strength of relationships further includes identifying the profiles of users who have the same employer as the first user. 12. The method of claim 1 wherein:
the rank is determined further based on the information in the profiles of users known to the first user such that the search results related to the information in the profiles of users known to the first user are ranked higher than the search results unrelated to the information in the profiles of users known to the first user. 13. The method of claim 1 wherein:
the displayed search results include items on the site that are not profiles. 14. The method of claim 1 wherein:
the displayed search results include profiles of users on the site. 15. The method of claim 1 wherein:
the displayed search results include advertisements of users of the site. 16. The method of claim 1 wherein:
the displayed search results include products for sale from users of the site. 17. The method of claim 1 wherein:
the determination of the strength of relationships considers popularity of an item on the site and whether users are members of the same group and wherein the search results include search results that are referred to in the profile of the first user. 18. A method of identifying a list of items relating to a social network, wherein users of the social network have profiles and/or webpages with information regarding the users and/or their activities, products, and/or services, wherein a first user has a profile with information associating certain of the users to the first user, the method comprising:
obtaining by a server a list of items relating to the social network to be displayed to a first user, wherein the items include one or more of advertisements relating to businesses, products, and/or services of users of the social network, user profiles on the social network, and/or webpages on the social network; and creating the list of items relating to the social network using a process including
identifying profiles of users that have been associated as friends with the profile of the first user by the first user;
identifying profiles of users that have a second degree of separation from the first user;
identifying profiles of users that are in a family relationship with the first user;
identifying items relating to the social network for which a user has a like, interest, and/or affinity;
identifying profiles of users that have a common like, interest, and/or affinity with the first user;
identifying profiles of users that have the same group membership as the first user; and
determining a rank that indicates the strength of the relationship of other users with the first user based upon at least the common interest or affinities of the other users with the first user; and
using the rank as a factor in creating the list of items relating to the social network. 19. A method of presenting Internet search results comprising:
obtaining by a server Internet search results in response to a search request from a first user of a site, wherein users of the site have profiles with information regarding the users, wherein the first user has a profile with information associating certain of the users to the first user; ranking by the server the search results such that the search results which are related to the information regarding the users associated with the first user are ranked highest; and displaying on a display the search results according to the ranking 20. The method of claim 19 wherein:
the site is a social network site. | 2,100 |
5,807 | 5,807 | 13,652,419 | 2,166 | A method for filtering content makes use of local filtering agents for end users, and a portal to a network of human reviewing resources. Local filtering agents request content classification for unclassified content. The portal routes requests from local agents to available human reviewing resources. A content classification is provided by the reviewing resources, and may be saved in association with a content identifier for future use. The method permits human review of content within a short period after review is requested. In an embodiment of the invention, a centrally-located switch is provided for controlling filtering levels at one or more user terminals. | 1. A method for content filtering, comprising:
receiving a plurality of requests for review of various content items, wherein each of the various content items is accessible via a wide area network; transmitting the plurality of requests for review to a reviewing resource that comprises a network-connected device configured to present content to a human reviewer; and associating individual ones of the various content items with at least one respective classification provided by the reviewing resource based on review of the respective content items by the human reviewer. 2-20. (canceled) 21. The method of claim 1, further comprising transmitting the respective classifications associated with the individual ones of the various content items to a plurality of filtering agents. 22. The method of claim 1, wherein the respective classifications associated with the individual ones of the various content items are usable by a filtering agent to determine if a user is blocked from accessing one or more types of content associated with one or more of the various content items. 23. The method of claim 1, wherein the respective classifications associated with the individual ones of the various content items are usable by a filtering agent to determine if a user having a given one of a plurality of access levels is permitted to access one or more of the various content items. 24. The method of claim 1, wherein the respective classifications associated with the individual ones of the various content items are usable by a filtering agent to compare a user profile with one or more defined categories of content to determine if a user corresponding to the user profile should be blocked from accessing content belonging to the one or more defined categories of content. 25. The method of claim 1, wherein associating individual ones of the various content items with at least one respective classification provided by the reviewing resource includes two or more human reviewers each agreeing on the at least one respective classification. 26. The method of claim 1, further comprising storing one or more classifications of the various content items along with one or more URLs corresponding to the various content items. 27. The method of claim 1, further comprising updating a classification database in response to a more recent review of a previously reviewed content item. 28. A computer-readable storage medium having stored thereon instructions that are executable by a processor of a computer system to cause the computer system to perform operations comprising:
receiving a plurality of requests for review of various content items, wherein each of the various content items is accessible via a wide area network; transmitting the plurality of requests for review to a reviewing resource that comprises a network-connected device configured to present content to a human reviewer; and associating individual ones of the various content items with at least one respective classification provided by the reviewing resource based on review of the respective content items by the human reviewer. 29. The computer-readable storage medium of claim 28, wherein the operations further comprise causing one or more requests for content from an end user to be filtered, wherein said filtering is based on a profile for the end user having one or more associated categories. 30. The computer-readable storage medium of claim 29, wherein the one or more associated categories of the profile include a category associated with an age of the end user. 31. The computer-readable storage medium of claim 28, wherein the operations further comprise causing one or more category-based Internet content filtering rules to be applied to one or more requests for content. 32. The computer-readable storage medium of claim 28, wherein the operations further comprise causing alternative content to be presented to an end user in response to a determination that given content should be filtered based on a classification determined, at least in part, by one or more human reviewers. 33. The computer-readable storage medium of claim 28, wherein the operations further comprise associating one or more other content items with a particular classification based on an automatic determination made by the computer system without human review. 34. The computer-readable storage medium of claim 28, wherein the operations further comprise associating at least two different classifications with a particular one of the various content items based on review by the human reviewer. 35. A network device, comprising:
a processor; and a computer-readable storage medium having stored thereon instructions that are executable by the processor to cause the network device to perform operations comprising:
associating a respective content access level with each one of a plurality of client devices, wherein the respective content access level is chosen from two or more defined levels of access; and
in response to a request for content received from a given one of the plurality of client devices, determining whether to provide the content based, at least in part, on one or more human-determined attributes of the content and the respective content access level for the given one of the plurality of client devices. 36. The network device of claim 35, wherein said determining includes examining a URL of an individual web page to determine if content on the individual web page should be filtered. 37. The network device of claim 35, wherein the network device is configured to provide network access to the plurality of client devices. 38. The network device of claim 35, wherein the two or more defined levels of access include a level of access for children and a level of access for adults. 39. The network device of claim 35, wherein said determining includes applying one or more category-based Internet content filtering rules to the request for content. | A method for filtering content makes use of local filtering agents for end users, and a portal to a network of human reviewing resources. Local filtering agents request content classification for unclassified content. The portal routes requests from local agents to available human reviewing resources. A content classification is provided by the reviewing resources, and may be saved in association with a content identifier for future use. The method permits human review of content within a short period after review is requested. In an embodiment of the invention, a centrally-located switch is provided for controlling filtering levels at one or more user terminals.1. A method for content filtering, comprising:
receiving a plurality of requests for review of various content items, wherein each of the various content items is accessible via a wide area network; transmitting the plurality of requests for review to a reviewing resource that comprises a network-connected device configured to present content to a human reviewer; and associating individual ones of the various content items with at least one respective classification provided by the reviewing resource based on review of the respective content items by the human reviewer. 2-20. (canceled) 21. The method of claim 1, further comprising transmitting the respective classifications associated with the individual ones of the various content items to a plurality of filtering agents. 22. The method of claim 1, wherein the respective classifications associated with the individual ones of the various content items are usable by a filtering agent to determine if a user is blocked from accessing one or more types of content associated with one or more of the various content items. 23. The method of claim 1, wherein the respective classifications associated with the individual ones of the various content items are usable by a filtering agent to determine if a user having a given one of a plurality of access levels is permitted to access one or more of the various content items. 24. The method of claim 1, wherein the respective classifications associated with the individual ones of the various content items are usable by a filtering agent to compare a user profile with one or more defined categories of content to determine if a user corresponding to the user profile should be blocked from accessing content belonging to the one or more defined categories of content. 25. The method of claim 1, wherein associating individual ones of the various content items with at least one respective classification provided by the reviewing resource includes two or more human reviewers each agreeing on the at least one respective classification. 26. The method of claim 1, further comprising storing one or more classifications of the various content items along with one or more URLs corresponding to the various content items. 27. The method of claim 1, further comprising updating a classification database in response to a more recent review of a previously reviewed content item. 28. A computer-readable storage medium having stored thereon instructions that are executable by a processor of a computer system to cause the computer system to perform operations comprising:
receiving a plurality of requests for review of various content items, wherein each of the various content items is accessible via a wide area network; transmitting the plurality of requests for review to a reviewing resource that comprises a network-connected device configured to present content to a human reviewer; and associating individual ones of the various content items with at least one respective classification provided by the reviewing resource based on review of the respective content items by the human reviewer. 29. The computer-readable storage medium of claim 28, wherein the operations further comprise causing one or more requests for content from an end user to be filtered, wherein said filtering is based on a profile for the end user having one or more associated categories. 30. The computer-readable storage medium of claim 29, wherein the one or more associated categories of the profile include a category associated with an age of the end user. 31. The computer-readable storage medium of claim 28, wherein the operations further comprise causing one or more category-based Internet content filtering rules to be applied to one or more requests for content. 32. The computer-readable storage medium of claim 28, wherein the operations further comprise causing alternative content to be presented to an end user in response to a determination that given content should be filtered based on a classification determined, at least in part, by one or more human reviewers. 33. The computer-readable storage medium of claim 28, wherein the operations further comprise associating one or more other content items with a particular classification based on an automatic determination made by the computer system without human review. 34. The computer-readable storage medium of claim 28, wherein the operations further comprise associating at least two different classifications with a particular one of the various content items based on review by the human reviewer. 35. A network device, comprising:
a processor; and a computer-readable storage medium having stored thereon instructions that are executable by the processor to cause the network device to perform operations comprising:
associating a respective content access level with each one of a plurality of client devices, wherein the respective content access level is chosen from two or more defined levels of access; and
in response to a request for content received from a given one of the plurality of client devices, determining whether to provide the content based, at least in part, on one or more human-determined attributes of the content and the respective content access level for the given one of the plurality of client devices. 36. The network device of claim 35, wherein said determining includes examining a URL of an individual web page to determine if content on the individual web page should be filtered. 37. The network device of claim 35, wherein the network device is configured to provide network access to the plurality of client devices. 38. The network device of claim 35, wherein the two or more defined levels of access include a level of access for children and a level of access for adults. 39. The network device of claim 35, wherein said determining includes applying one or more category-based Internet content filtering rules to the request for content. | 2,100 |
5,808 | 5,808 | 14,194,222 | 2,154 | A data management system is provided for facilitating in-memory indexing of data based on certain data access modes. The data management system includes an indexing module for indexing data stored in a data memory as a first data index. The first data index is further provided with a first data access mode, wherein the first data access mode enables the first data index to update itself by providing data write privileges to the first data index. The data management system further includes a synchronizing module for synchronizing a second data index with the first data index, wherein the second data access mode is provided with second data access mode to enable external systems to query data. The data management system further includes an index handling module for interchanging data access modes of the first and the second data indexes based on pre-defined rules. | 1. A data management system for providing in-memory indexing of data based on data access modes, the data management system comprising:
an indexing module for indexing the data stored in a data memory storage and storing the indexed data as a first data index, wherein the first data index is assigned with a first data access mode; a synchronizing module for synchronizing a second data index with the first data index, wherein the second data index is assigned with a second data access mode; and an index handling module for interchanging the first data access mode of first data index with the second data access mode of the second data index based on one or more pre-defined rules, wherein the first data access mode comprises privilege to write data and the second data access mode comprises privilege to read data. 2. The data management system of claim 1, wherein the one or more pre-defined rules comprise assigning first data access mode to the second data index and second data access mode to first data index for synchronizing the second data index with the first data index. 3. The data management system of claim 1, wherein the one or more pre-defined rules comprise assigning second data access mode to the second data index and first data access mode to first data index for updating the first data index. 4. The data management system of claim 1, wherein assignment of the second data access mode to the first data index or the second data index enables one or more external systems to query data from the first data index or the second data index respectively. 5. The data management system of claim 4, wherein an application programming interface is used for querying data from the first data index and the second data index. 6. The data management system of claim 1, wherein the index handling module is configured to assign first data access mode to the first data index and second data access mode to the second data index for enabling the indexing module to update the first data index. 7. The data management system of claim 1, wherein the index handling module is configured to assign second data access mode to the first data index and first data access mode to the second data index for enabling the synchronizing module to synchronize the second data index with the first data index. 8. The data management system of claim 1, wherein the indexing module uses a pre-defined indexing algorithm for indexing the data stored in the data memory storage. 9. The data management system of claim 8, wherein the indexing algorithm is configured to use pre-defined rules for indexing data stored in the data memory storage. 10. The data management system of claim 9, wherein the pre-defined rules are configurable by at least one authorized personnel. 11. The data management system of claim 1, wherein the data memory storage is a random access memory. 12. The data management system of claim 1, wherein the indexing module is configured to trigger update of the first data index after a pre-determined time interval. 13. The data management system of claim 1, wherein the synchronizing module is configured to trigger synchronizing process of the second data index after completion of updating process of the first data index by the indexing module. 14. A computer-implemented method for facilitating in-memory indexing of data based on data access modes, the method comprising:
indexing data stored in a data memory storage and storing indexed data as first data index and second data index, wherein the first data index and the second data index have same indexed data; assigning a first data access mode to the first data index, wherein the first data access mode comprise privilege to write data; assigning a second data access mode to the second data index, wherein the second data access mode comprise privilege to read data; interchanging the first data access mode of first data index with the second data access mode of the second data index based on one or more pre-defined rules. 15. The method of claim 14, wherein the one or more pre-defined rules comprise assigning first data access mode to the second data index and second data access mode to first data index for synchronizing the second data index with the first data index. 16. The method of claim 14, wherein the one or more pre-defined rules comprise assigning second data access mode to the second data index and first data access mode to first data index for updating the first data index. 17. The method of claim 14, wherein the first data index is regularly updated after a pre-set time interval. 18. The method of claim 14, wherein the data stored in the data memory storage is indexed based on pre-defined rules that are configurable by at least one authorized personnel. 19. The method of claim 14, wherein assignment of the second data access mode to the first data index or the second data index enables one or more external systems to query data from the first data index or the second data index respectively. 20. A computer-implemented method for facilitating in-memory indexing of data, the method comprising:
indexing data stored in a data memory storage and storing indexed data as first data index and second data index, wherein the data stored in the data memory storage is indexed based on one or more pre-defined rules that are configurable by at least one authorized personnel; enabling one or more external systems to query data from the second data index; enabling first data index to update its index after a pre-determined time interval; enabling one or more external systems to query data from the updated first data index; enabling the second data index to synchronize indexed data with the updated first data index; and enabling one or more external systems to query data from the synchronized second data index. | A data management system is provided for facilitating in-memory indexing of data based on certain data access modes. The data management system includes an indexing module for indexing data stored in a data memory as a first data index. The first data index is further provided with a first data access mode, wherein the first data access mode enables the first data index to update itself by providing data write privileges to the first data index. The data management system further includes a synchronizing module for synchronizing a second data index with the first data index, wherein the second data access mode is provided with second data access mode to enable external systems to query data. The data management system further includes an index handling module for interchanging data access modes of the first and the second data indexes based on pre-defined rules.1. A data management system for providing in-memory indexing of data based on data access modes, the data management system comprising:
an indexing module for indexing the data stored in a data memory storage and storing the indexed data as a first data index, wherein the first data index is assigned with a first data access mode; a synchronizing module for synchronizing a second data index with the first data index, wherein the second data index is assigned with a second data access mode; and an index handling module for interchanging the first data access mode of first data index with the second data access mode of the second data index based on one or more pre-defined rules, wherein the first data access mode comprises privilege to write data and the second data access mode comprises privilege to read data. 2. The data management system of claim 1, wherein the one or more pre-defined rules comprise assigning first data access mode to the second data index and second data access mode to first data index for synchronizing the second data index with the first data index. 3. The data management system of claim 1, wherein the one or more pre-defined rules comprise assigning second data access mode to the second data index and first data access mode to first data index for updating the first data index. 4. The data management system of claim 1, wherein assignment of the second data access mode to the first data index or the second data index enables one or more external systems to query data from the first data index or the second data index respectively. 5. The data management system of claim 4, wherein an application programming interface is used for querying data from the first data index and the second data index. 6. The data management system of claim 1, wherein the index handling module is configured to assign first data access mode to the first data index and second data access mode to the second data index for enabling the indexing module to update the first data index. 7. The data management system of claim 1, wherein the index handling module is configured to assign second data access mode to the first data index and first data access mode to the second data index for enabling the synchronizing module to synchronize the second data index with the first data index. 8. The data management system of claim 1, wherein the indexing module uses a pre-defined indexing algorithm for indexing the data stored in the data memory storage. 9. The data management system of claim 8, wherein the indexing algorithm is configured to use pre-defined rules for indexing data stored in the data memory storage. 10. The data management system of claim 9, wherein the pre-defined rules are configurable by at least one authorized personnel. 11. The data management system of claim 1, wherein the data memory storage is a random access memory. 12. The data management system of claim 1, wherein the indexing module is configured to trigger update of the first data index after a pre-determined time interval. 13. The data management system of claim 1, wherein the synchronizing module is configured to trigger synchronizing process of the second data index after completion of updating process of the first data index by the indexing module. 14. A computer-implemented method for facilitating in-memory indexing of data based on data access modes, the method comprising:
indexing data stored in a data memory storage and storing indexed data as first data index and second data index, wherein the first data index and the second data index have same indexed data; assigning a first data access mode to the first data index, wherein the first data access mode comprise privilege to write data; assigning a second data access mode to the second data index, wherein the second data access mode comprise privilege to read data; interchanging the first data access mode of first data index with the second data access mode of the second data index based on one or more pre-defined rules. 15. The method of claim 14, wherein the one or more pre-defined rules comprise assigning first data access mode to the second data index and second data access mode to first data index for synchronizing the second data index with the first data index. 16. The method of claim 14, wherein the one or more pre-defined rules comprise assigning second data access mode to the second data index and first data access mode to first data index for updating the first data index. 17. The method of claim 14, wherein the first data index is regularly updated after a pre-set time interval. 18. The method of claim 14, wherein the data stored in the data memory storage is indexed based on pre-defined rules that are configurable by at least one authorized personnel. 19. The method of claim 14, wherein assignment of the second data access mode to the first data index or the second data index enables one or more external systems to query data from the first data index or the second data index respectively. 20. A computer-implemented method for facilitating in-memory indexing of data, the method comprising:
indexing data stored in a data memory storage and storing indexed data as first data index and second data index, wherein the data stored in the data memory storage is indexed based on one or more pre-defined rules that are configurable by at least one authorized personnel; enabling one or more external systems to query data from the second data index; enabling first data index to update its index after a pre-determined time interval; enabling one or more external systems to query data from the updated first data index; enabling the second data index to synchronize indexed data with the updated first data index; and enabling one or more external systems to query data from the synchronized second data index. | 2,100 |
5,809 | 5,809 | 15,401,558 | 2,194 | Transforming application programming interface calls is provided. An application programming interface discovery process is performed on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system. An application programming interface call integration pattern is selected based on the application programming interface discovery process. The selected application programming interface call integration pattern corresponds to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request. The selected application programming interface call integration pattern is utilized to transform the application programming interface call and associated data included in the service request into a transformed application programming interface call and associated data that the second data processing system uses to perform the task. | 1. A computer-implemented method for transforming application programming interface calls, the computer-implemented method comprising:
performing, by a computer, an application programming interface discovery process on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system; selecting, by the computer, an application programming interface call integration pattern from a set of application programming interface call integration patterns, the selected application programming interface call integration pattern corresponding to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request received from the first data processing system, based on the application programming interface discovery process on the second data processing system determining how the task corresponding to the service request is performed on the second data processing system; and utilizing, by the computer, the selected application programming interface call integration pattern to transform the application programming interface call and associated data included in the service request received from the first data processing system into a transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 2. The computer-implemented method of claim 1 further comprising:
sending, by the computer, the transformed application programming interface call and associated data via a network to the second data processing system to perform the task corresponding to the service request;
receiving, by the computer, via the network, a result of the second data processing system performing the task corresponding to the service request using the transformed application programming interface call and associated data; and
sending, by the computer, the result of the second data processing system performing the task corresponding to the service request to the first data processing system via the network. 3. The computer-implemented method of claim 1 further comprising:
parsing, by the computer, the service request including the application programming interface call and associated data into searchable data to determine a type of the service request. 4. The computer-implemented method of claim 3, wherein the computer utilizes natural language processing to parse the service request including the application programming interface call and associated data into the searchable data. 5. The computer-implemented method of claim 3 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has not been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, identifying, by the computer using the searchable data, the set of application programming interface call integration patterns corresponding to the application programming interface calls and associated data that are the same or similar to the application programming interface call and associated data included in the service request. 6. The computer-implemented method of claim 5, wherein the computer performs application programming interface discovery via patterns with focused search exploration limiting a number of application programming interfaces and associated data that the computer has to look at which decreases processor utilization saving computer resources and increasing performance of the computer, itself. 7. The computer-implemented method of claim 3 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, utilizing, by the computer, the application programming interface call integration pattern identified for the type of the service request to transform the application programming interface call and associated data included in the service request into transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 8. The computer-implemented method of claim 1, wherein the computer generates the application programming interface call integration pattern based on the application programming interface discovery process performed on the second data processing system. 9. The computer-implemented method of claim 1, wherein the application programming interface call integration pattern is an abstraction of application programming interface code for a target application programming interface on the second data processing system that corresponds to the application programming interface call and associated data included in the service request received from the first data processing system, and wherein the abstraction is a generalization of the target application programming interface away from any specific implementation. 10. The computer-implemented method of claim 9, wherein the application programming interface call integration pattern that provides the abstraction is application programming interface provider agnostic. 11. The computer-implemented method of claim 1, wherein the computer, the first data processing system, and the second data processing system are located in a cloud environment. 12. A computer system for transforming application programming interface calls, the computer system comprising:
a bus system; a storage device connected to the bus system, wherein the storage device stores program instructions; and a processor connected to the bus system, wherein the processor executes the program instructions to:
perform an application programming interface discovery process on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system;
select an application programming interface call integration pattern from a set of application programming interface call integration patterns, the selected application programming interface call integration pattern corresponding to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request received from the first data processing system, based on the application programming interface discovery process on the second data processing system determining how the task corresponding to the service request is performed on the second data processing system; and
utilize the selected application programming interface call integration pattern to transform the application programming interface call and associated data included in the service request received from the first data processing system into a transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 13. The computer system of claim 12, wherein the processor further executes the program instructions to:
send the transformed application programming interface call and associated data via a network to the second data processing system to perform the task corresponding to the service request; receive, via the network, a result of the second data processing system performing the task corresponding to the service request using the transformed application programming interface call and associated data; and send the result of the second data processing system performing the task corresponding to the service request to the first data processing system via the network. 14. The computer system of claim 12, wherein the processor further executes the program instructions to:
parse the service request including the application programming interface call and associated data into searchable data to determine a type of the service request. 15. The computer system of claim 14, wherein the computer system utilizes natural language processing to parse the service request including the application programming interface call and associated data into the searchable data. 16. The computer system of claim 14, wherein the processor further executes the program instructions to:
identify, using the searchable data, the set of application programming interface call integration patterns corresponding to the application programming interface calls and associated data that are the same or similar to the application programming interface call and associated data included in the service request in response to determining that an application programming interface call integration pattern has not been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system. 17. A computer program product for transforming application programming interface calls, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
performing, by the computer, an application programming interface discovery process on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system; selecting, by the computer, an application programming interface call integration pattern from a set of application programming interface call integration patterns, the selected application programming interface call integration pattern corresponding to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request received from the first data processing system, based on the application programming interface discovery process on the second data processing system determining how the task corresponding to the service request is performed on the second data processing system; and utilizing, by the computer, the selected application programming interface call integration pattern to transform the application programming interface call and associated data included in the service request received from the first data processing system into a transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 18. The computer program product of claim 17 further comprising:
sending, by the computer, the transformed application programming interface call and associated data via a network to the second data processing system to perform the task corresponding to the service request;
receiving, by the computer, via the network, a result of the second data processing system performing the task corresponding to the service request using the transformed application programming interface call and associated data; and
sending, by the computer, the result of the second data processing system performing the task corresponding to the service request to the first data processing system via the network. 19. The computer program product of claim 17 further comprising:
parsing, by the computer, the service request including the application programming interface call and associated data into searchable data to determine a type of the service request. 20. The computer program product of claim 19, wherein the computer utilizes natural language processing to parse the service request including the application programming interface call and associated data into the searchable data. 21. The computer program product of claim 19 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has not been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, identifying, by the computer using the searchable data, the set of application programming interface call integration patterns corresponding to the application programming interface calls and associated data that are the same or similar to the application programming interface call and associated data included in the service request. 22. The computer program product of claim 19 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, utilizing, by the computer, the application programming interface call integration pattern identified for the type of the service request to transform the application programming interface call and associated data included in the service request into transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 23. The computer program product of claim 19 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, utilizing, by the computer, the application programming interface call integration pattern identified for the type of the service request to transform the application programming interface call and associated data included in the service request into transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 24. The computer program product of claim 17, wherein the computer generates the application programming interface call integration pattern based on the application programming interface discovery process performed on the second data processing system. 25. The computer program product of claim 17, wherein the application programming interface call integration pattern is an abstraction of application programming interface code for a target application programming interface on the second data processing system that corresponds to the application programming interface call and associated data included in the service request received from the first data processing system, and wherein the abstraction is a generalization of the target application programming interface away from any specific implementation. | Transforming application programming interface calls is provided. An application programming interface discovery process is performed on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system. An application programming interface call integration pattern is selected based on the application programming interface discovery process. The selected application programming interface call integration pattern corresponds to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request. The selected application programming interface call integration pattern is utilized to transform the application programming interface call and associated data included in the service request into a transformed application programming interface call and associated data that the second data processing system uses to perform the task.1. A computer-implemented method for transforming application programming interface calls, the computer-implemented method comprising:
performing, by a computer, an application programming interface discovery process on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system; selecting, by the computer, an application programming interface call integration pattern from a set of application programming interface call integration patterns, the selected application programming interface call integration pattern corresponding to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request received from the first data processing system, based on the application programming interface discovery process on the second data processing system determining how the task corresponding to the service request is performed on the second data processing system; and utilizing, by the computer, the selected application programming interface call integration pattern to transform the application programming interface call and associated data included in the service request received from the first data processing system into a transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 2. The computer-implemented method of claim 1 further comprising:
sending, by the computer, the transformed application programming interface call and associated data via a network to the second data processing system to perform the task corresponding to the service request;
receiving, by the computer, via the network, a result of the second data processing system performing the task corresponding to the service request using the transformed application programming interface call and associated data; and
sending, by the computer, the result of the second data processing system performing the task corresponding to the service request to the first data processing system via the network. 3. The computer-implemented method of claim 1 further comprising:
parsing, by the computer, the service request including the application programming interface call and associated data into searchable data to determine a type of the service request. 4. The computer-implemented method of claim 3, wherein the computer utilizes natural language processing to parse the service request including the application programming interface call and associated data into the searchable data. 5. The computer-implemented method of claim 3 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has not been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, identifying, by the computer using the searchable data, the set of application programming interface call integration patterns corresponding to the application programming interface calls and associated data that are the same or similar to the application programming interface call and associated data included in the service request. 6. The computer-implemented method of claim 5, wherein the computer performs application programming interface discovery via patterns with focused search exploration limiting a number of application programming interfaces and associated data that the computer has to look at which decreases processor utilization saving computer resources and increasing performance of the computer, itself. 7. The computer-implemented method of claim 3 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, utilizing, by the computer, the application programming interface call integration pattern identified for the type of the service request to transform the application programming interface call and associated data included in the service request into transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 8. The computer-implemented method of claim 1, wherein the computer generates the application programming interface call integration pattern based on the application programming interface discovery process performed on the second data processing system. 9. The computer-implemented method of claim 1, wherein the application programming interface call integration pattern is an abstraction of application programming interface code for a target application programming interface on the second data processing system that corresponds to the application programming interface call and associated data included in the service request received from the first data processing system, and wherein the abstraction is a generalization of the target application programming interface away from any specific implementation. 10. The computer-implemented method of claim 9, wherein the application programming interface call integration pattern that provides the abstraction is application programming interface provider agnostic. 11. The computer-implemented method of claim 1, wherein the computer, the first data processing system, and the second data processing system are located in a cloud environment. 12. A computer system for transforming application programming interface calls, the computer system comprising:
a bus system; a storage device connected to the bus system, wherein the storage device stores program instructions; and a processor connected to the bus system, wherein the processor executes the program instructions to:
perform an application programming interface discovery process on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system;
select an application programming interface call integration pattern from a set of application programming interface call integration patterns, the selected application programming interface call integration pattern corresponding to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request received from the first data processing system, based on the application programming interface discovery process on the second data processing system determining how the task corresponding to the service request is performed on the second data processing system; and
utilize the selected application programming interface call integration pattern to transform the application programming interface call and associated data included in the service request received from the first data processing system into a transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 13. The computer system of claim 12, wherein the processor further executes the program instructions to:
send the transformed application programming interface call and associated data via a network to the second data processing system to perform the task corresponding to the service request; receive, via the network, a result of the second data processing system performing the task corresponding to the service request using the transformed application programming interface call and associated data; and send the result of the second data processing system performing the task corresponding to the service request to the first data processing system via the network. 14. The computer system of claim 12, wherein the processor further executes the program instructions to:
parse the service request including the application programming interface call and associated data into searchable data to determine a type of the service request. 15. The computer system of claim 14, wherein the computer system utilizes natural language processing to parse the service request including the application programming interface call and associated data into the searchable data. 16. The computer system of claim 14, wherein the processor further executes the program instructions to:
identify, using the searchable data, the set of application programming interface call integration patterns corresponding to the application programming interface calls and associated data that are the same or similar to the application programming interface call and associated data included in the service request in response to determining that an application programming interface call integration pattern has not been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system. 17. A computer program product for transforming application programming interface calls, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
performing, by the computer, an application programming interface discovery process on a second data processing system to determine how a task corresponding to a service request received from a first data processing system is performed on the second data processing system; selecting, by the computer, an application programming interface call integration pattern from a set of application programming interface call integration patterns, the selected application programming interface call integration pattern corresponding to application programming interface calls and associated data that are same or similar to an application programming interface call and associated data included in the service request received from the first data processing system, based on the application programming interface discovery process on the second data processing system determining how the task corresponding to the service request is performed on the second data processing system; and utilizing, by the computer, the selected application programming interface call integration pattern to transform the application programming interface call and associated data included in the service request received from the first data processing system into a transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 18. The computer program product of claim 17 further comprising:
sending, by the computer, the transformed application programming interface call and associated data via a network to the second data processing system to perform the task corresponding to the service request;
receiving, by the computer, via the network, a result of the second data processing system performing the task corresponding to the service request using the transformed application programming interface call and associated data; and
sending, by the computer, the result of the second data processing system performing the task corresponding to the service request to the first data processing system via the network. 19. The computer program product of claim 17 further comprising:
parsing, by the computer, the service request including the application programming interface call and associated data into searchable data to determine a type of the service request. 20. The computer program product of claim 19, wherein the computer utilizes natural language processing to parse the service request including the application programming interface call and associated data into the searchable data. 21. The computer program product of claim 19 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has not been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, identifying, by the computer using the searchable data, the set of application programming interface call integration patterns corresponding to the application programming interface calls and associated data that are the same or similar to the application programming interface call and associated data included in the service request. 22. The computer program product of claim 19 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, utilizing, by the computer, the application programming interface call integration pattern identified for the type of the service request to transform the application programming interface call and associated data included in the service request into transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 23. The computer program product of claim 19 further comprising:
responsive to the computer determining that an application programming interface call integration pattern has been identified for the type of the service request received from the first data processing system to perform the task on the second data processing system, utilizing, by the computer, the application programming interface call integration pattern identified for the type of the service request to transform the application programming interface call and associated data included in the service request into transformed application programming interface call and associated data that the second data processing system uses to perform the task corresponding to the service request. 24. The computer program product of claim 17, wherein the computer generates the application programming interface call integration pattern based on the application programming interface discovery process performed on the second data processing system. 25. The computer program product of claim 17, wherein the application programming interface call integration pattern is an abstraction of application programming interface code for a target application programming interface on the second data processing system that corresponds to the application programming interface call and associated data included in the service request received from the first data processing system, and wherein the abstraction is a generalization of the target application programming interface away from any specific implementation. | 2,100 |
5,810 | 5,810 | 14,947,145 | 2,136 | A hybrid memory module includes a dynamic random access memory (DRAM) cache, a flash storage, and a memory controller. The DRAM cache includes one or more DRAM devices and a DRAM controller, and the flash storage includes one or more flash devices and a flash controller. The memory controller interfaces with the DRAM controller and the flash controller. | 1. A memory module comprising:
a dynamic random access memory (DRAM) cache including one or more DRAM devices and a DRAM controller; a flash storage including one or more flash devices and a flash controller; a memory controller interfacing with the DRAM controller and the flash controller; and a transaction-based memory interface configured to couple the memory controller and a host memory controller. 2. The memory module of claim 1, wherein the memory controller includes a buffer configured to store temporary cache data and a cache tag. 3. The memory module of claim 2, wherein the cache tag indicates that a memory transaction request received from the host memory controller includes a request to access the DRAM cache. 4. The memory module of claim 3, wherein the memory controller determines that the memory transaction request from the host memory controller is a read hit, a read miss, a write hit, or a write miss based on the cache tag. 5. The memory module of claim 1, wherein the memory controller maps a flash page from the flash storage to one or more DRAM pages of the DRAM cache. 6. The memory module of claim 1, wherein the transaction-based interface allows the host memory controller to access the memory module when a memory access latency of the memory module is non-deterministic. 7. The memory module of claim 1, wherein the memory controller determines that a memory transaction request received from the host memory controller is a read request from the DRAM cache or a write request to the DRAM cache based on a cache tag, and the DRAM controller manages the memory transaction and command scheduling for the DRAM cache in response to the memory transaction request. 8. The memory module of claim 1, wherein the memory controller determines that a memory transaction request received from the host memory controller is a read request from the flash storage or a write request to the flash storage based on a cache tag, and the flash controller manages address translation, garbage collection, wear leveling, and scheduling for the flash storage in response to the memory transaction request. 9. A method for operating a hybrid memory module including a DRAM cache and a flash storage, the method comprising:
asynchronously receiving a memory transaction request from a host memory controller; storing the memory transaction request in a buffer of the hybrid memory module; checking a cache tag of the hybrid memory module and determining that the memory transaction request includes a request to access data stored in the DRAM cache; and performing the memory transaction request based on the cache tag. 10. The method of claim 9, further comprising:
determining that the memory transaction request is a read request from the DRAM cache based on the cache tag; receiving DRAM data from the DRAM cache that corresponds to the memory transaction request; and providing the DRAM data to the host memory controller. 11. The method of claim 9, further comprising:
storing the memory transaction requests and the cache tag in the buffer. 12. The method of claim 9, further comprising:
mapping a flash page from the flash storage to one or more DRAM pages of the DRAM cache. 13. The method of claim 9, further comprising:
determining that a memory transaction request is a read request from the DRAM cache or a write request to the DRAM cache based on the cache tag; and managing the memory transaction and command scheduling for the DRAM cache in response to the memory transaction request. 14. The method of claim 9, further comprising:
determining that a memory transaction request is a read request from the flash storage or a write request to the flash request based on the cache tag; and managing address translation, garbage collection, wear leveling, and scheduling for the flash storage in response to the memory transaction request. 15. The method of claim 9, further comprising:
determining that a DRAM cache page is dirty; reading dirty data from the DRAM cache page; and writing the dirty data to the flash storage. 16. The method of claim 15, further comprising:
writing data received from the host memory controller to the DRAM cache; and marking the DRAM cache as dirty. 17. The method of claim 9, further comprising:
keeping open a DRAM cache page of the DRAM cache; and performing a series of column access to the open DRAM cache page. 18. The method of claim 9, further comprising:
determining data stored in the flash storage that is a frequently requested by the host memory controller; and mapping the data stored in the flash storage to the DRAM cache based on a frequency of data request by the host memory controller. 19. The method of claim 9, wherein an access latency of the DRAM cache and the flash storage is non-deterministic. | A hybrid memory module includes a dynamic random access memory (DRAM) cache, a flash storage, and a memory controller. The DRAM cache includes one or more DRAM devices and a DRAM controller, and the flash storage includes one or more flash devices and a flash controller. The memory controller interfaces with the DRAM controller and the flash controller.1. A memory module comprising:
a dynamic random access memory (DRAM) cache including one or more DRAM devices and a DRAM controller; a flash storage including one or more flash devices and a flash controller; a memory controller interfacing with the DRAM controller and the flash controller; and a transaction-based memory interface configured to couple the memory controller and a host memory controller. 2. The memory module of claim 1, wherein the memory controller includes a buffer configured to store temporary cache data and a cache tag. 3. The memory module of claim 2, wherein the cache tag indicates that a memory transaction request received from the host memory controller includes a request to access the DRAM cache. 4. The memory module of claim 3, wherein the memory controller determines that the memory transaction request from the host memory controller is a read hit, a read miss, a write hit, or a write miss based on the cache tag. 5. The memory module of claim 1, wherein the memory controller maps a flash page from the flash storage to one or more DRAM pages of the DRAM cache. 6. The memory module of claim 1, wherein the transaction-based interface allows the host memory controller to access the memory module when a memory access latency of the memory module is non-deterministic. 7. The memory module of claim 1, wherein the memory controller determines that a memory transaction request received from the host memory controller is a read request from the DRAM cache or a write request to the DRAM cache based on a cache tag, and the DRAM controller manages the memory transaction and command scheduling for the DRAM cache in response to the memory transaction request. 8. The memory module of claim 1, wherein the memory controller determines that a memory transaction request received from the host memory controller is a read request from the flash storage or a write request to the flash storage based on a cache tag, and the flash controller manages address translation, garbage collection, wear leveling, and scheduling for the flash storage in response to the memory transaction request. 9. A method for operating a hybrid memory module including a DRAM cache and a flash storage, the method comprising:
asynchronously receiving a memory transaction request from a host memory controller; storing the memory transaction request in a buffer of the hybrid memory module; checking a cache tag of the hybrid memory module and determining that the memory transaction request includes a request to access data stored in the DRAM cache; and performing the memory transaction request based on the cache tag. 10. The method of claim 9, further comprising:
determining that the memory transaction request is a read request from the DRAM cache based on the cache tag; receiving DRAM data from the DRAM cache that corresponds to the memory transaction request; and providing the DRAM data to the host memory controller. 11. The method of claim 9, further comprising:
storing the memory transaction requests and the cache tag in the buffer. 12. The method of claim 9, further comprising:
mapping a flash page from the flash storage to one or more DRAM pages of the DRAM cache. 13. The method of claim 9, further comprising:
determining that a memory transaction request is a read request from the DRAM cache or a write request to the DRAM cache based on the cache tag; and managing the memory transaction and command scheduling for the DRAM cache in response to the memory transaction request. 14. The method of claim 9, further comprising:
determining that a memory transaction request is a read request from the flash storage or a write request to the flash request based on the cache tag; and managing address translation, garbage collection, wear leveling, and scheduling for the flash storage in response to the memory transaction request. 15. The method of claim 9, further comprising:
determining that a DRAM cache page is dirty; reading dirty data from the DRAM cache page; and writing the dirty data to the flash storage. 16. The method of claim 15, further comprising:
writing data received from the host memory controller to the DRAM cache; and marking the DRAM cache as dirty. 17. The method of claim 9, further comprising:
keeping open a DRAM cache page of the DRAM cache; and performing a series of column access to the open DRAM cache page. 18. The method of claim 9, further comprising:
determining data stored in the flash storage that is a frequently requested by the host memory controller; and mapping the data stored in the flash storage to the DRAM cache based on a frequency of data request by the host memory controller. 19. The method of claim 9, wherein an access latency of the DRAM cache and the flash storage is non-deterministic. | 2,100 |
5,811 | 5,811 | 14,281,377 | 2,114 | Various embodiments for management of multipath Input/Output (I/O) in a computing system by a processor device. Upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, a system notification is provided that is usable by the processor device to perform a multipath layer path selection aimed at reducing near timeouts/near misses in the multipath I/O. | 1. A method for management of multipath Input/Output (I/O) in a computing system by a processor device, comprising:
upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, providing a system notification usable by the processor device to perform a multipath layer path selection to make pathing updates aimed at reducing near timeouts/near misses in the multipath I/O paths. 2. The method of claim 1, further including defining the at least one predetermined criterion. 3. The method of claim 1, wherein providing the system notification includes sending a path near miss summary message to a multipathing layer. 4. The method of claim 1, further including monitoring at least one exchange in the multipath I/O to determine if the threshold is surpassed. 5. The method of claim 4, wherein monitoring the at least one exchange further includes at least one of:
associating the exchange with at least one I/O path for building and trending statistical information associated with the near timeouts/near misses; tracking one of an I/O redrive and I/O near redrive; incorporating the statistical information into the system notification; and providing the statistical information such that a determination of a best path having a least number of near timeouts/near misses for the I/O is made. 6. The method of claim 4, wherein monitoring the at least one exchange further includes determining if a quantity of the at least one exchange for a particular path exceeds a predetermined limit. 7. The method of claim 1, further including executing the multipath layer selection based on the system notification. 8. A system for management of multipath Input/Output (I/O) in a computing system, comprising:
a processor device, operable in the computing system, that upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, provides a system notification usable to perform a multipath layer path selection aimed at reducing near timeouts/near misses in the multipath I/O paths. 9. The system of claim 8, wherein the processor device defines the at least one predetermined criterion. 10. The system of claim 8, wherein the processor device, pursuant to providing the system notification, sends a path near miss summary message to a multipathing layer. 11. The system of claim 8, wherein the processor device monitors at least one exchange in the multipath I/O to determine if the threshold is surpassed. 12. The system of claim 11, wherein the processor device, pursuant to monitoring the at least one exchange, at least one of:
associates the exchange with at least one I/O path for building and trending statistical information associated with the near timeouts/near misses; tracks one of an I/O redrive and I/O near redrive; incorporates the statistical information into the system notification; and provides the statistical information such that a determination of a best path having a least number of near timeouts/near misses for the I/O is made. 13. The system of claim 11, wherein the processor device, pursuant to monitoring the at least one exchange, determines if a quantity of the at least one exchange for a particular path exceeds a predetermined limit. 14. The system of claim 8, wherein the processor device executes the multipath layer selection based on the system notification. 15. The system of claim 8, further including at least one of a Host-Bus Adapter (HBA), Converged Network Adapter (CNA), switch port, and storage port, each in operable communication with the processor device. 16. A computer program product for management of multipath Input/Output (I/O) in a computing system by a processor device, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
a first executable portion that upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, provides a system notification usable by the processor device to perform a multipath layer path selection aimed at reducing near timeouts/near misses in the multipath I/O paths. 17. The computer program product of claim 16, further including a second executable portion that defines the at least one predetermined criterion. 18. The computer program product of claim 16, further including a second executable portion that, pursuant to providing the system notification, sends a path near miss summary message to a multipathing layer. 19. The computer program product of claim 16, further including a second executable portion that monitors at least one exchange in the multipath I/O to determine if the threshold is surpassed. 20. The computer program product of claim 19, further including a third executable portion that, pursuant to monitoring the at least one exchange at least one of:
associates the exchange with at least one I/O path for building and trending statistical information associated with the near timeouts/near misses; tracks one of an I/O redrive and I/O near redrive; incorporates the statistical information into the system notification; and provides the statistical information such that a determination of a best path having a least number of near timeouts/near misses for the I/O is made. 21. The computer program product of claim 16, further including a second executable portion that, pursuant to monitoring the at least one exchange, determines if a quantity of the at least one exchange for a particular path exceeds a predetermined limit. 22. The computer program product of claim 16, further including a second executable portion that executes the multipath layer selection based on the system notification. | Various embodiments for management of multipath Input/Output (I/O) in a computing system by a processor device. Upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, a system notification is provided that is usable by the processor device to perform a multipath layer path selection aimed at reducing near timeouts/near misses in the multipath I/O.1. A method for management of multipath Input/Output (I/O) in a computing system by a processor device, comprising:
upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, providing a system notification usable by the processor device to perform a multipath layer path selection to make pathing updates aimed at reducing near timeouts/near misses in the multipath I/O paths. 2. The method of claim 1, further including defining the at least one predetermined criterion. 3. The method of claim 1, wherein providing the system notification includes sending a path near miss summary message to a multipathing layer. 4. The method of claim 1, further including monitoring at least one exchange in the multipath I/O to determine if the threshold is surpassed. 5. The method of claim 4, wherein monitoring the at least one exchange further includes at least one of:
associating the exchange with at least one I/O path for building and trending statistical information associated with the near timeouts/near misses; tracking one of an I/O redrive and I/O near redrive; incorporating the statistical information into the system notification; and providing the statistical information such that a determination of a best path having a least number of near timeouts/near misses for the I/O is made. 6. The method of claim 4, wherein monitoring the at least one exchange further includes determining if a quantity of the at least one exchange for a particular path exceeds a predetermined limit. 7. The method of claim 1, further including executing the multipath layer selection based on the system notification. 8. A system for management of multipath Input/Output (I/O) in a computing system, comprising:
a processor device, operable in the computing system, that upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, provides a system notification usable to perform a multipath layer path selection aimed at reducing near timeouts/near misses in the multipath I/O paths. 9. The system of claim 8, wherein the processor device defines the at least one predetermined criterion. 10. The system of claim 8, wherein the processor device, pursuant to providing the system notification, sends a path near miss summary message to a multipathing layer. 11. The system of claim 8, wherein the processor device monitors at least one exchange in the multipath I/O to determine if the threshold is surpassed. 12. The system of claim 11, wherein the processor device, pursuant to monitoring the at least one exchange, at least one of:
associates the exchange with at least one I/O path for building and trending statistical information associated with the near timeouts/near misses; tracks one of an I/O redrive and I/O near redrive; incorporates the statistical information into the system notification; and provides the statistical information such that a determination of a best path having a least number of near timeouts/near misses for the I/O is made. 13. The system of claim 11, wherein the processor device, pursuant to monitoring the at least one exchange, determines if a quantity of the at least one exchange for a particular path exceeds a predetermined limit. 14. The system of claim 8, wherein the processor device executes the multipath layer selection based on the system notification. 15. The system of claim 8, further including at least one of a Host-Bus Adapter (HBA), Converged Network Adapter (CNA), switch port, and storage port, each in operable communication with the processor device. 16. A computer program product for management of multipath Input/Output (I/O) in a computing system by a processor device, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
a first executable portion that upon surpassing a threshold for at least one predetermined criterion associated with near timeouts/near misses in the multipath I/O, provides a system notification usable by the processor device to perform a multipath layer path selection aimed at reducing near timeouts/near misses in the multipath I/O paths. 17. The computer program product of claim 16, further including a second executable portion that defines the at least one predetermined criterion. 18. The computer program product of claim 16, further including a second executable portion that, pursuant to providing the system notification, sends a path near miss summary message to a multipathing layer. 19. The computer program product of claim 16, further including a second executable portion that monitors at least one exchange in the multipath I/O to determine if the threshold is surpassed. 20. The computer program product of claim 19, further including a third executable portion that, pursuant to monitoring the at least one exchange at least one of:
associates the exchange with at least one I/O path for building and trending statistical information associated with the near timeouts/near misses; tracks one of an I/O redrive and I/O near redrive; incorporates the statistical information into the system notification; and provides the statistical information such that a determination of a best path having a least number of near timeouts/near misses for the I/O is made. 21. The computer program product of claim 16, further including a second executable portion that, pursuant to monitoring the at least one exchange, determines if a quantity of the at least one exchange for a particular path exceeds a predetermined limit. 22. The computer program product of claim 16, further including a second executable portion that executes the multipath layer selection based on the system notification. | 2,100 |
5,812 | 5,812 | 14,901,557 | 2,145 | Embodiments of the present invention provide an application association processing method and apparatus. The method includes: detecting a first operation instruction; and when it is determined that the first operation instruction is to perform a first preset operation on first content displayed on a display interface, displaying prompt information of second content associated with the first content, where the first preset operation is an operation gesture preset by the user, the prompt information is used to inform an association relationship exists between the first content and the second content, where when the first content is an application icon, the second content is an icon of at least one control included in an application corresponding to the application icon; or when the first content is an icon of a control, the second content is an icon of an application to which the control belongs. User operation complexity can be reduced. | 1-17. (canceled) 18. An application association processing method, comprising:
detecting a first operation instruction entered by a user; and when it is determined that the first operation instruction is to perform, by the user, a first preset operation on first content displayed on a display interface, displaying prompt information of second content associated with the first content, wherein the first preset operation is an operation gesture preset by the user, and the prompt information is used to inform the user that an association relationship exists between the first content and the second content, wherein when the first content is an application icon, the second content is an icon of at least one control comprised in an application corresponding to the application icon; or when the first content is an icon of a control, the second content is an icon of an application to which the control belongs. 19. The method according to claim 18, before the detecting a first operation instruction entered by a user, further comprising:
detecting a second operation instruction entered by the user; and when the second operation instruction is to perform, by the user, a second preset operation on the first content displayed on the display interface, switching the displayed first content to an editable state, wherein the second preset operation is an operation gesture preset for switching the first content to the editable state, wherein the detecting a first operation instruction entered by a user comprises: detecting the first operation instruction entered by the user for the first content in the editable state. 20. The method according to claim 18, wherein the first preset operation comprises: a sliding operation within a preset area surrounding the first content. 21. The method according to claim 20, wherein the sliding operation is an operation that uses, as a start point, a position at which the first content is located; or
the sliding operation is an operation that uses, as a fixed point, a position at which the first content is located, and uses the preset area surrounding the first content as a sliding area. 22. The method according claim 18, wherein the displaying prompt information of second content associated with the first content comprises:
determining, according to an application package file, the second content that has the association relationship with the first content, and displaying the prompt information of the second content, wherein the application package file is a source file of the first content and the second content. 23. The method according to claim 18, wherein the displaying prompt information of second content associated with the first content comprises:
displaying, in a form of a floating window, the prompt information of the second content associated with the first content. 24. The method according to claim 18, after the displaying prompt information of second content associated with the first content, further comprising:
detecting a third operation instruction entered by the user; and when the third operation instruction is to perform, by the user, a third preset operation on the prompt information of the second content, displaying the second content on the display interface, wherein the third preset operation is an operation gesture preset for displaying the second content. 25. An application association processing apparatus, comprising:
a first detection unit, configured to detect a first operation instruction entered by a user; and a first processing unit, configured to: when it is determined that the first operation instruction is to perform, by the user, a first preset operation on first content displayed on a display interface, display prompt information of second content associated with the first content, wherein the first preset operation is an operation gesture preset by the user, and the prompt information is used to inform the user that an association relationship exists between the first content and the second content, wherein p1 when the first content is an application icon, the second content is an icon of at least one control comprised in an application corresponding to the application icon; or when the first content is an icon of a control, the second content is an icon of an application to which the control belongs. 26. The apparatus according to claim 25, further comprising:
a second detection unit, configured to: before the first detection unit detects the first operation instruction entered by the user, detect a second operation instruction entered by the user; and a second processing unit, configured to: when the second operation instruction is to perform, by the user, a second preset operation on the first content displayed on the display interface, switch the displayed first content to an editable state, wherein the second preset operation is an operation gesture preset for switching the first content to the editable state, wherein the first detection unit is specifically configured to detect the first operation instruction entered by the user for the first content in the editable state. 27. The apparatus according to claim 25, wherein the first preset operation comprises: a sliding operation within a preset area surrounding the first content;
the sliding operation is an operation that uses, as a start point, a position at which the first content is located; or the sliding operation is an operation that uses, as a fixed point, a position at which the first content is located, and uses the preset area surrounding the first content as a sliding area. 28. The apparatus according to claim 25, wherein
the first processing unit is specifically configured to: if it is determined that the first operation instruction is to perform, by the user, the first preset operation on the first content displayed on the display interface, determine, according to an application package file, the second content that has the association relationship with the first content, and display the prompt information of the second content, wherein the application package file is a source file of the first content and the second content. 29. The apparatus according to claim 25, wherein the first processing unit is specifically configured to display, in a form of a floating window, the prompt information of the second content associated with the first content. 30. The apparatus according to claim 25, further comprising:
a third detection unit, configured to detect a third operation instruction entered by the user; and a third processing unit, configured to: when it is determined that the third operation instruction is to perform, by the user, a third preset operation on the displayed prompt information of the second content, display the second content on the display interface, wherein the third preset operation is an operation gesture preset for displaying the second content. 31. An application association processing method, comprising:
acquiring a first operation instruction entered by a user for an application icon displayed on a display interface; and if it is determined that the first operation instruction is an instruction generated by a first preset operation gesture, presenting, on the display interface, a control icon associated with the application icon, wherein the control icon being associated with the application icon comprises: source files of the application icon and the control icon being the same. 32. The method according to claim 31, before acquiring a first operation instruction, further comprising:
acquiring a second operation instruction entered by the user, the second operation instruction is used to switch the application icon to an editable state; acquiring a first operation instruction entered by a user for an application icon displayed on a display interface, comprises: acquiring the first operation instruction entered by a user for the application icon which is in editable state. 33. The method according to claim 31, wherein the source files of the control icon and the application icon being the same comprises: an application that runs after the control icon is triggered and an application that runs after the application icon is triggered being a same application. 34. The method according to claim 31, wherein there are at least two control icons associated with the application icon; after determining the first operation instruction is an instruction generated by a first preset operation gesture, the method further comprising:
displaying at least two control icons which are associated with the application icon; acquiring a selection instruction entered by the user for a first control icon, the first control icon is one of the at least two control icons; presenting, on the display interface, the first control icon. 35. The method according to claim 34, wherein the first preset operation gesture comprises at least one of the following operation gestures: a sliding operation gesture within a preset area range of the application icon, a sliding operation gesture that uses the application icon as a start point, and a zooming operation gesture on the display interface. 36. The method according to claim 31, after presenting a control icon associated with the application icon, the method further comprising:
acquiring a third instruction entered by the user for the control icon; if it is determined that the third instruction is an instruction generated by a second preset operation gesture, presenting the application icon instead of the control icon. 37. The method according to claim 36, wherein the second preset operation gesture comprises at least one of the following operation gestures: a zooming operation gesture that uses the application icon as fixed point; a tapping operation gesture on the central area of the application icon. | Embodiments of the present invention provide an application association processing method and apparatus. The method includes: detecting a first operation instruction; and when it is determined that the first operation instruction is to perform a first preset operation on first content displayed on a display interface, displaying prompt information of second content associated with the first content, where the first preset operation is an operation gesture preset by the user, the prompt information is used to inform an association relationship exists between the first content and the second content, where when the first content is an application icon, the second content is an icon of at least one control included in an application corresponding to the application icon; or when the first content is an icon of a control, the second content is an icon of an application to which the control belongs. User operation complexity can be reduced.1-17. (canceled) 18. An application association processing method, comprising:
detecting a first operation instruction entered by a user; and when it is determined that the first operation instruction is to perform, by the user, a first preset operation on first content displayed on a display interface, displaying prompt information of second content associated with the first content, wherein the first preset operation is an operation gesture preset by the user, and the prompt information is used to inform the user that an association relationship exists between the first content and the second content, wherein when the first content is an application icon, the second content is an icon of at least one control comprised in an application corresponding to the application icon; or when the first content is an icon of a control, the second content is an icon of an application to which the control belongs. 19. The method according to claim 18, before the detecting a first operation instruction entered by a user, further comprising:
detecting a second operation instruction entered by the user; and when the second operation instruction is to perform, by the user, a second preset operation on the first content displayed on the display interface, switching the displayed first content to an editable state, wherein the second preset operation is an operation gesture preset for switching the first content to the editable state, wherein the detecting a first operation instruction entered by a user comprises: detecting the first operation instruction entered by the user for the first content in the editable state. 20. The method according to claim 18, wherein the first preset operation comprises: a sliding operation within a preset area surrounding the first content. 21. The method according to claim 20, wherein the sliding operation is an operation that uses, as a start point, a position at which the first content is located; or
the sliding operation is an operation that uses, as a fixed point, a position at which the first content is located, and uses the preset area surrounding the first content as a sliding area. 22. The method according claim 18, wherein the displaying prompt information of second content associated with the first content comprises:
determining, according to an application package file, the second content that has the association relationship with the first content, and displaying the prompt information of the second content, wherein the application package file is a source file of the first content and the second content. 23. The method according to claim 18, wherein the displaying prompt information of second content associated with the first content comprises:
displaying, in a form of a floating window, the prompt information of the second content associated with the first content. 24. The method according to claim 18, after the displaying prompt information of second content associated with the first content, further comprising:
detecting a third operation instruction entered by the user; and when the third operation instruction is to perform, by the user, a third preset operation on the prompt information of the second content, displaying the second content on the display interface, wherein the third preset operation is an operation gesture preset for displaying the second content. 25. An application association processing apparatus, comprising:
a first detection unit, configured to detect a first operation instruction entered by a user; and a first processing unit, configured to: when it is determined that the first operation instruction is to perform, by the user, a first preset operation on first content displayed on a display interface, display prompt information of second content associated with the first content, wherein the first preset operation is an operation gesture preset by the user, and the prompt information is used to inform the user that an association relationship exists between the first content and the second content, wherein p1 when the first content is an application icon, the second content is an icon of at least one control comprised in an application corresponding to the application icon; or when the first content is an icon of a control, the second content is an icon of an application to which the control belongs. 26. The apparatus according to claim 25, further comprising:
a second detection unit, configured to: before the first detection unit detects the first operation instruction entered by the user, detect a second operation instruction entered by the user; and a second processing unit, configured to: when the second operation instruction is to perform, by the user, a second preset operation on the first content displayed on the display interface, switch the displayed first content to an editable state, wherein the second preset operation is an operation gesture preset for switching the first content to the editable state, wherein the first detection unit is specifically configured to detect the first operation instruction entered by the user for the first content in the editable state. 27. The apparatus according to claim 25, wherein the first preset operation comprises: a sliding operation within a preset area surrounding the first content;
the sliding operation is an operation that uses, as a start point, a position at which the first content is located; or the sliding operation is an operation that uses, as a fixed point, a position at which the first content is located, and uses the preset area surrounding the first content as a sliding area. 28. The apparatus according to claim 25, wherein
the first processing unit is specifically configured to: if it is determined that the first operation instruction is to perform, by the user, the first preset operation on the first content displayed on the display interface, determine, according to an application package file, the second content that has the association relationship with the first content, and display the prompt information of the second content, wherein the application package file is a source file of the first content and the second content. 29. The apparatus according to claim 25, wherein the first processing unit is specifically configured to display, in a form of a floating window, the prompt information of the second content associated with the first content. 30. The apparatus according to claim 25, further comprising:
a third detection unit, configured to detect a third operation instruction entered by the user; and a third processing unit, configured to: when it is determined that the third operation instruction is to perform, by the user, a third preset operation on the displayed prompt information of the second content, display the second content on the display interface, wherein the third preset operation is an operation gesture preset for displaying the second content. 31. An application association processing method, comprising:
acquiring a first operation instruction entered by a user for an application icon displayed on a display interface; and if it is determined that the first operation instruction is an instruction generated by a first preset operation gesture, presenting, on the display interface, a control icon associated with the application icon, wherein the control icon being associated with the application icon comprises: source files of the application icon and the control icon being the same. 32. The method according to claim 31, before acquiring a first operation instruction, further comprising:
acquiring a second operation instruction entered by the user, the second operation instruction is used to switch the application icon to an editable state; acquiring a first operation instruction entered by a user for an application icon displayed on a display interface, comprises: acquiring the first operation instruction entered by a user for the application icon which is in editable state. 33. The method according to claim 31, wherein the source files of the control icon and the application icon being the same comprises: an application that runs after the control icon is triggered and an application that runs after the application icon is triggered being a same application. 34. The method according to claim 31, wherein there are at least two control icons associated with the application icon; after determining the first operation instruction is an instruction generated by a first preset operation gesture, the method further comprising:
displaying at least two control icons which are associated with the application icon; acquiring a selection instruction entered by the user for a first control icon, the first control icon is one of the at least two control icons; presenting, on the display interface, the first control icon. 35. The method according to claim 34, wherein the first preset operation gesture comprises at least one of the following operation gestures: a sliding operation gesture within a preset area range of the application icon, a sliding operation gesture that uses the application icon as a start point, and a zooming operation gesture on the display interface. 36. The method according to claim 31, after presenting a control icon associated with the application icon, the method further comprising:
acquiring a third instruction entered by the user for the control icon; if it is determined that the third instruction is an instruction generated by a second preset operation gesture, presenting the application icon instead of the control icon. 37. The method according to claim 36, wherein the second preset operation gesture comprises at least one of the following operation gestures: a zooming operation gesture that uses the application icon as fixed point; a tapping operation gesture on the central area of the application icon. | 2,100 |
5,813 | 5,813 | 14,517,578 | 2,128 | A method for optimizing drilling operations. The method includes providing an earth model of a volume having a well, obtaining petrotechnical data about the volume while drilling the well, comparing the petrotechnical data with the earth model, updating the earth model with the petrotechnical data based on the comparison, and modifying a drilling plan of the well using the updated earth model. | 1-35. (canceled) 36. A method for providing a set of actions for modifying a drilling plan of a well, comprising:
comparing a subsurface image, property volume or interpretation of an earth model of the well with a subsurface image, property volume or interpretation of an updated earth model; generating a set of three dimensional (3D) coordinates for a well trajectory based on the comparison; and modifying the drilling plan based on the well trajectory. 37. The method of claim 36, wherein the set of three dimensional (3D) coordinates is generated using geosteering. 38. The method of claim 36, wherein modifying the drilling plan comprises providing a design of the well trajectory, performing an economic and technical analysis of the well trajectory, changing an existing casing plan, defining a well construction based on the well trajectory, or combinations thereof. 39. The method of claim 36, wherein the earth model is updated by creating a three dimensional (3D) anisotropic depth model, merging the 3D anisotropic depth model in depth sections, performing a prestack depth migration, performing tomographic anisotropic properties update, performing interpretation, performing inversion for pore pressure or lithology properties of the earth model, or combinations thereof. 40. A method for updating an earth model of a volume having a well, comprising:
creating a three dimensional anisotropic depth model; comparing the three dimensional anisotropic depth model with petrotechnical data obtained while drilling the well; determining whether a deviation between the three dimensional anisotropic depth model and the petrotechnical data is greater than a first predetermined amount; and if the deviation exceeds the first predetermined amount, then updating the three dimensional anisotropic depth model. 41. The method of claim 40, further comprising merging the three dimensional anisotropic depth model in depth sections. 42. The method of claim 40, further comprising performing a prestack depth migration using the updated three dimensional anisotropic depth model. 43. The method of claim 42, further comprising:
determining whether a quality of an output of the prestack depth migration falls below a second predetermined value; and if the output of the prestack depth migration falls below the second predetermined value, then performing a tomographic anisotropic properties update. 44. The method of claim 43, wherein determining whether the quality of the output of the prestack depth migration falls below the second predetermined value comprises evaluating a flatness of one or more prestack depth gathers. 45. The method of claim 43, wherein determining whether the quality of the output of the prestack depth migration falls below the second predetermined value comprises comparing a prestack depth stack against the petrotechnical data obtained during drilling. 46. The method of claim 43, wherein determining whether the quality of the output of the prestack depth migration falls below the second predetermined value comprises evaluating errors of a residual moveout cube. 47-51. (canceled) 52. A computer system, comprising:
a processor; and a memory comprising program instructions executable by the processor to:
compare a subsurface image, property volume or interpretation of an earth model of a well with a subsurface image, property volume or interpretation of an updated earth model;
generate a set of three dimensional (3D) coordinates for a well trajectory based on the comparison; and
modify a drilling plan based on the well trajectory. 53. The computer system of claim 52, wherein the set of three dimensional (3D) coordinates is generated using geosteering. 54. The computer system of claim 52, wherein the memory comprising program instructions executable by the processor to modify the drilling plan comprises program instructions executable by the processor to provide a design of the well trajectory, performing an economic and technical analysis of the well trajectory, changing an existing casing plan, defining a well construction based on the well trajectory, or combinations thereof. 55. A computer system, comprising:
a processor; and a memory comprising program instructions executable by the processor to:
create a three dimensional anisotropic depth model of a volume having a well;
compare the three dimensional anisotropic depth model with petrotechnical data obtained while drilling the well;
determine whether a deviation between the three dimensional anisotropic depth model and the petrotechnical data is greater than a first predetermined amount; and
if the deviation exceeds the first predetermined amount, then update the three dimensional anisotropic depth model. 56. The computer system of claim 55, wherein the memory further comprises program instructions executable by the processor to:
determine whether a quality of an output of the prestack depth migration falls below a second predetermined value; and if the output of the prestack depth migration falls below the second predetermined value, then performing a tomographic anisotropic properties update. 57. The method of claim 36, further comprising creating the earth model based on a full aperture, prestack, three dimensional depth imaging function and petrotechnical data obtained while drilling the well before updating the earth model. 58. The method of claim 40, wherein the three dimensional anisotropic depth model is created based on a full aperture, prestack, three dimensional depth imaging function and petrotechnical data obtained while drilling the well. 59. The method of claim 36, wherein the earth model is updated by performing a full aperture, prestack tomography inversion to solve for variations in depth velocity properties of the earth model. 60. The method of claim 40, wherein the three dimensional anisotropic depth model is updated by performing a full aperture, prestack tomography inversion. 61. The computer system of claim 52, wherein the memory further comprises program instructions executable by the processor to update the earth model by performing a full aperture, prestack tomography inversion to solve for variations in depth velocity properties of the earth model. 62. The computer system of claim 55, wherein the memory further comprises program instructions executable by the processor to:
update the three dimensional anisotropic depth model by performing a full aperture, prestack tomography inversion; and perform a prestack depth migration using the updated three dimensional anisotropic depth model. | A method for optimizing drilling operations. The method includes providing an earth model of a volume having a well, obtaining petrotechnical data about the volume while drilling the well, comparing the petrotechnical data with the earth model, updating the earth model with the petrotechnical data based on the comparison, and modifying a drilling plan of the well using the updated earth model.1-35. (canceled) 36. A method for providing a set of actions for modifying a drilling plan of a well, comprising:
comparing a subsurface image, property volume or interpretation of an earth model of the well with a subsurface image, property volume or interpretation of an updated earth model; generating a set of three dimensional (3D) coordinates for a well trajectory based on the comparison; and modifying the drilling plan based on the well trajectory. 37. The method of claim 36, wherein the set of three dimensional (3D) coordinates is generated using geosteering. 38. The method of claim 36, wherein modifying the drilling plan comprises providing a design of the well trajectory, performing an economic and technical analysis of the well trajectory, changing an existing casing plan, defining a well construction based on the well trajectory, or combinations thereof. 39. The method of claim 36, wherein the earth model is updated by creating a three dimensional (3D) anisotropic depth model, merging the 3D anisotropic depth model in depth sections, performing a prestack depth migration, performing tomographic anisotropic properties update, performing interpretation, performing inversion for pore pressure or lithology properties of the earth model, or combinations thereof. 40. A method for updating an earth model of a volume having a well, comprising:
creating a three dimensional anisotropic depth model; comparing the three dimensional anisotropic depth model with petrotechnical data obtained while drilling the well; determining whether a deviation between the three dimensional anisotropic depth model and the petrotechnical data is greater than a first predetermined amount; and if the deviation exceeds the first predetermined amount, then updating the three dimensional anisotropic depth model. 41. The method of claim 40, further comprising merging the three dimensional anisotropic depth model in depth sections. 42. The method of claim 40, further comprising performing a prestack depth migration using the updated three dimensional anisotropic depth model. 43. The method of claim 42, further comprising:
determining whether a quality of an output of the prestack depth migration falls below a second predetermined value; and if the output of the prestack depth migration falls below the second predetermined value, then performing a tomographic anisotropic properties update. 44. The method of claim 43, wherein determining whether the quality of the output of the prestack depth migration falls below the second predetermined value comprises evaluating a flatness of one or more prestack depth gathers. 45. The method of claim 43, wherein determining whether the quality of the output of the prestack depth migration falls below the second predetermined value comprises comparing a prestack depth stack against the petrotechnical data obtained during drilling. 46. The method of claim 43, wherein determining whether the quality of the output of the prestack depth migration falls below the second predetermined value comprises evaluating errors of a residual moveout cube. 47-51. (canceled) 52. A computer system, comprising:
a processor; and a memory comprising program instructions executable by the processor to:
compare a subsurface image, property volume or interpretation of an earth model of a well with a subsurface image, property volume or interpretation of an updated earth model;
generate a set of three dimensional (3D) coordinates for a well trajectory based on the comparison; and
modify a drilling plan based on the well trajectory. 53. The computer system of claim 52, wherein the set of three dimensional (3D) coordinates is generated using geosteering. 54. The computer system of claim 52, wherein the memory comprising program instructions executable by the processor to modify the drilling plan comprises program instructions executable by the processor to provide a design of the well trajectory, performing an economic and technical analysis of the well trajectory, changing an existing casing plan, defining a well construction based on the well trajectory, or combinations thereof. 55. A computer system, comprising:
a processor; and a memory comprising program instructions executable by the processor to:
create a three dimensional anisotropic depth model of a volume having a well;
compare the three dimensional anisotropic depth model with petrotechnical data obtained while drilling the well;
determine whether a deviation between the three dimensional anisotropic depth model and the petrotechnical data is greater than a first predetermined amount; and
if the deviation exceeds the first predetermined amount, then update the three dimensional anisotropic depth model. 56. The computer system of claim 55, wherein the memory further comprises program instructions executable by the processor to:
determine whether a quality of an output of the prestack depth migration falls below a second predetermined value; and if the output of the prestack depth migration falls below the second predetermined value, then performing a tomographic anisotropic properties update. 57. The method of claim 36, further comprising creating the earth model based on a full aperture, prestack, three dimensional depth imaging function and petrotechnical data obtained while drilling the well before updating the earth model. 58. The method of claim 40, wherein the three dimensional anisotropic depth model is created based on a full aperture, prestack, three dimensional depth imaging function and petrotechnical data obtained while drilling the well. 59. The method of claim 36, wherein the earth model is updated by performing a full aperture, prestack tomography inversion to solve for variations in depth velocity properties of the earth model. 60. The method of claim 40, wherein the three dimensional anisotropic depth model is updated by performing a full aperture, prestack tomography inversion. 61. The computer system of claim 52, wherein the memory further comprises program instructions executable by the processor to update the earth model by performing a full aperture, prestack tomography inversion to solve for variations in depth velocity properties of the earth model. 62. The computer system of claim 55, wherein the memory further comprises program instructions executable by the processor to:
update the three dimensional anisotropic depth model by performing a full aperture, prestack tomography inversion; and perform a prestack depth migration using the updated three dimensional anisotropic depth model. | 2,100 |
5,814 | 5,814 | 14,220,471 | 2,137 | There is provided a method for managing a solid state storage system with hybrid storage technologies. The method includes monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics. The set of possible operating mode characteristics correspond to a set of available operating modes of the hybrid storage technologies. The method further includes identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics. The method also includes predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction. The method additionally includes controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. | 1. A method for managing a solid state storage system with hybrid storage technologies, comprising:
monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics, the set of possible operating mode characteristics corresponding to a set of available operating modes of the hybrid storage technologies; identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics; predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction; and controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. 2. The method of claim 1, wherein said controlling step comprises improving read performance by placing duplicate data in the storage system. 3. The method of claim 1, wherein said controlling step comprises preparing the system for an imminent change to a write intensive operating mode by performing proactive garbage collection. 4. The method of claim 1, wherein said controlling step comprises placing data from a data stream corresponding to at least one of the storage request streams in a worn out region of the storage system that meets without exceeding retention needs of the data stream, when a time period that the data is to be written is below a threshold time period. 5. The method of claim 1, wherein the hybrid storage technologies comprise single-level cell technology and multi-level cell technology. 6. The method of claim 1, wherein the hybrid storage technologies comprise a same storage technology used in at least two different ways. 7. The method of claim 6, wherein the hybrid storage technologies comprise single-level cell technology configured to be wear focused and the single-level cell technology configured to be wear delayed. 8. The method of claim 1, wherein the storage system is one of a flash storage system and a phase change memory (PCM). 9. A computer readable storage medium comprising a computer readable program for managing a solid state storage system with hybrid storage technologies, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics, the set of possible operating mode characteristics corresponding to a set of available operating modes of the hybrid storage technologies; identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics; predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction; and controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. 10. The computer readable storage medium of claim 9, wherein said controlling step comprises improving read performance by placing duplicate data in the storage system. 11. The computer readable storage medium of claim 9, wherein said controlling step comprises preparing the system for an imminent change to a write intensive operating mode by performing proactive garbage collection. 12. The computer readable storage medium of claim 9, wherein said controlling step comprises placing data from a data stream corresponding to at least one of the storage request streams in a worn out region of the storage system that meets without exceeding retention needs of the data stream, when a time period that the data is to be written is below a threshold time period. 13. The computer readable storage medium of claim 9, wherein the hybrid storage technologies comprise single-level cell technology and multi-level cell technology. 14. The computer readable storage medium of claim 9, wherein the hybrid storage technologies comprise a same storage technology used in at least two different ways. 15. The computer readable storage medium of claim 14, wherein the hybrid storage technologies comprise single-level cell technology configured to be wear focused and the single-level cell technology configured to be wear delayed. 16. The computer readable storage medium of claim 9, wherein the storage system is one of a flash storage system and a phase change memory (PCM). 17. A solid state storage system with hybrid storage technologies, comprising:
a monitor for monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics, and identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics, the set of possible operating mode characteristics corresponding to a set of available operating modes of the hybrid storage technologies; a predictor for predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction; and a controller for controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. 18. The system of claim 17, wherein said controller improves read performance by placing duplicate data in the storage system. 19. The system of claim 17, wherein said controller prepares the system for an imminent change to a write intensive operating mode by performing proactive garbage collection. 20. The system of claim 17, wherein said controller places data from a data stream corresponding to at least one of the storage request streams in a worn out region of the storage system that meets without exceeding retention needs of the data stream, when a time period that the data is to be written is below a threshold time period. | There is provided a method for managing a solid state storage system with hybrid storage technologies. The method includes monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics. The set of possible operating mode characteristics correspond to a set of available operating modes of the hybrid storage technologies. The method further includes identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics. The method also includes predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction. The method additionally includes controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction.1. A method for managing a solid state storage system with hybrid storage technologies, comprising:
monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics, the set of possible operating mode characteristics corresponding to a set of available operating modes of the hybrid storage technologies; identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics; predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction; and controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. 2. The method of claim 1, wherein said controlling step comprises improving read performance by placing duplicate data in the storage system. 3. The method of claim 1, wherein said controlling step comprises preparing the system for an imminent change to a write intensive operating mode by performing proactive garbage collection. 4. The method of claim 1, wherein said controlling step comprises placing data from a data stream corresponding to at least one of the storage request streams in a worn out region of the storage system that meets without exceeding retention needs of the data stream, when a time period that the data is to be written is below a threshold time period. 5. The method of claim 1, wherein the hybrid storage technologies comprise single-level cell technology and multi-level cell technology. 6. The method of claim 1, wherein the hybrid storage technologies comprise a same storage technology used in at least two different ways. 7. The method of claim 6, wherein the hybrid storage technologies comprise single-level cell technology configured to be wear focused and the single-level cell technology configured to be wear delayed. 8. The method of claim 1, wherein the storage system is one of a flash storage system and a phase change memory (PCM). 9. A computer readable storage medium comprising a computer readable program for managing a solid state storage system with hybrid storage technologies, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics, the set of possible operating mode characteristics corresponding to a set of available operating modes of the hybrid storage technologies; identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics; predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction; and controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. 10. The computer readable storage medium of claim 9, wherein said controlling step comprises improving read performance by placing duplicate data in the storage system. 11. The computer readable storage medium of claim 9, wherein said controlling step comprises preparing the system for an imminent change to a write intensive operating mode by performing proactive garbage collection. 12. The computer readable storage medium of claim 9, wherein said controlling step comprises placing data from a data stream corresponding to at least one of the storage request streams in a worn out region of the storage system that meets without exceeding retention needs of the data stream, when a time period that the data is to be written is below a threshold time period. 13. The computer readable storage medium of claim 9, wherein the hybrid storage technologies comprise single-level cell technology and multi-level cell technology. 14. The computer readable storage medium of claim 9, wherein the hybrid storage technologies comprise a same storage technology used in at least two different ways. 15. The computer readable storage medium of claim 14, wherein the hybrid storage technologies comprise single-level cell technology configured to be wear focused and the single-level cell technology configured to be wear delayed. 16. The computer readable storage medium of claim 9, wherein the storage system is one of a flash storage system and a phase change memory (PCM). 17. A solid state storage system with hybrid storage technologies, comprising:
a monitor for monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics, and identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics, the set of possible operating mode characteristics corresponding to a set of available operating modes of the hybrid storage technologies; a predictor for predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction; and a controller for controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction. 18. The system of claim 17, wherein said controller improves read performance by placing duplicate data in the storage system. 19. The system of claim 17, wherein said controller prepares the system for an imminent change to a write intensive operating mode by performing proactive garbage collection. 20. The system of claim 17, wherein said controller places data from a data stream corresponding to at least one of the storage request streams in a worn out region of the storage system that meets without exceeding retention needs of the data stream, when a time period that the data is to be written is below a threshold time period. | 2,100 |
5,815 | 5,815 | 14,521,053 | 2,132 | A system, method, and computer program product for a block-based backing up a storage device to an object storage service is provided. This includes the generation of a data object that encapsulates a data of a data extent. The data extent covers a block address range of the storage device. The data object is named with a base name that represents a logical block address (LBA) of the data extent. The base name is appended with an identifier that deterministically identifies a recovery point that the data object is associated with. The base name combined with the identifier represents a data object name for the data object. The named data object is then transmitted to the object storage service for backup of the data extent. At an initial backup, the full storage device is copied. In incremental backups afterwards, only those data extents that changed are backed up. | 1. A method comprising:
identifying a data extent of an address space of a storage device; generating a data object encapsulating data of the data extent of the storage device; naming the data object with a base name representing a logical block address (LBA) of the data extent; appending the base name with an identifier that deterministically identifies a recovery point that the data object is associated with, the base name and the identifier making up a data object name for the data object; and providing the data object and the corresponding data object name to a cloud storage for backup of the data extent. 2. The method of claim 1, further comprising:
designating a portion of the storage device as the data extent. 3. The method of claim 1 further comprising:
dividing the address space of the storage device into a plurality of data extents; and
repeating the generating, naming, appending, and providing for each of the plurality of data extents to back up the storage device. 4. The method of claim 1, further comprising:
detecting, during a time interval, a command sent to the storage device that indicates a change to the data extent during the time interval; generating, at the end of the time interval, an updated data object that encapsulates data corresponding to the changed data extent; naming the updated data object with a base name representing an LBA of the changed data extent; appending the base name with a second identifier that deterministically identifies an updated recovery point that the data object is associated with; and providing the updated data object to the cloud storage. 5. The method of claim 4, further comprising:
generating a metadata object that defines a supported set of recovery points for the data object; and generating an updated metadata object that defines a supported set of updated recovery points for the updated data object. 6. The method of claim 5, further comprising:
determining whether any metadata objects prior to the updated metadata object are older than a supported number of recover points; identifying any data objects associated with the older metadata objects for deletion in response to the determining; determining which of the identified data objects do not correspond to at least one of the set of updated recovery points; and instructing the cloud storage to delete an identified data object that does not correspond to at least one of the updated recovery points. 7. The method of claim 1, wherein the generating further comprises:
compressing the data corresponding to the data extent using a compression algorithm; encrypting the compressed data using an encryption algorithm; and inserting, into the data object, metadata describing the compression algorithm and the encryption algorithm used. 8. The method of claim 1, further comprising:
generating a configuration metadata object that describes the storage device, including at least one of system name, storage device capacity, and block size of the storage device; and providing the configuration metadata object to the cloud storage with the data object. 9. A computing device comprising:
a memory containing machine readable medium comprising machine executable code having stored thereon instructions for performing a method of backing up a storage device; a processor coupled to the memory, the processor configured to execute the machine executable code to:
generate a data object that encapsulates a data extent comprising an address range of the storage device;
name the data object with a base name representing a logical block address (LBA) of the data extent;
append the base name with an identifier that deterministically identifies a recovery point that the data object is associated with, the base name and the identifier making up a data object name for the data object; and
transmit the data object and the data object name to a cloud storage for backup of the data extent. 10. The computing device of claim 9, wherein the processor is further configured to execute the machine executable code to:
designate a section of the storage device as the data extent. 11. The computing device of claim 9, wherein the processor is further configured to execute the machine executable code to:
detect, during a time interval, a command sent to the storage device that indicates a change to the data extent during the time interval; generate, at the end of the time interval, an updated data object that encapsulates the changed data extent; name the updated data object with a base name representing a logical block address (LBA) of the changed data extent; append the base name with an updated identifier that deterministically identifies an updated recovery point that the updated data object is associated with; and transmit the updated data object to the cloud storage. 12. The computing device of claim 11, wherein the processor is further configured to execute the machine executable code to:
generate a metadata object that defines a supported set of recovery points for the data object; and generate an updated metadata object that defines a supported set of updated recovery points for the updated data object. 13. The computing device of claim 12, wherein the processor is further configured to execute the machine executable code to:
determine whether any metadata objects prior to the updated metadata object are older than a supported number of recovery points; identify any data objects associated with the older metadata objects for deletion in response to the determination; determine which of the identified data objects are associated with the set of updated recovery points; and instruct the cloud storage to delete an object of the identified data objects that is not associated with the set of updated recover points. 14. The computing device of claim 9, wherein the processor is further configured to execute the machine executable code to:
compress the data extent using a compression algorithm; encrypt the compressed data extent using an encryption algorithm; and insert, into the data object, metadata describing the compression and encryption algorithms used. 15. The computing device of claim 9, wherein:
the storage device comprises a plurality of sections; and the processor is further configured to execute the machine executable code to:
divide the storage device into a plurality of data extents; and
repeat the generation, naming, appending, and transmission for each of the plurality of data extents to back up the storage device. 16. A non-transitory machine readable medium having stored thereon instructions for performing a method of backing up a storage device, comprising machine executable code which when executed by at least one machine, causes the machine to:
divide the storage device into a plurality of data extents; generate a plurality of initial data objects that encapsulate and correspond to the plurality of data extents; name each of the plurality of initial data objects with a base name representing a corresponding logical block address (LBA) of the respective data extent; append the base names with corresponding identifiers that deterministically identify an initial recovery point that the plurality of initial data objects are associated with, the base names combined with the identifiers making up data object names corresponding to the plurality of initial data objects; and transmit the plurality of initial data objects to a cloud storage for backup of the storage device. 17. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
detect, during a time interval, a command sent to the storage device that indicates a change to any one of the plurality of data extents during the first time interval; generate, at the end of the time interval, an updated data object that encapsulates the changed data extent; name the updated data object with a base name representing a logical block address (LBA) of the changed data extent; append the base name with an updated identifier that deterministically identifies an updated recovery point that the updated data object is associated with; and transmit the updated data object to the cloud storage. 18. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
compress each of the plurality of data extents using a compression algorithm; encrypt each of the compressed data extents using an encryption algorithm; and insert, into corresponding ones of the plurality of initial data objects, metadata describing the compression and encryption algorithms used. 19. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
generate a configuration metadata object that describes the storage device, including at least one of system name, storage device capacity, and block size of the storage device; and transmit the configuration metadata object to the cloud storage with the plurality of initial data objects. 20. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
back up only address ranges that have been provisioned on a thin provisioned volume of the storage device. | A system, method, and computer program product for a block-based backing up a storage device to an object storage service is provided. This includes the generation of a data object that encapsulates a data of a data extent. The data extent covers a block address range of the storage device. The data object is named with a base name that represents a logical block address (LBA) of the data extent. The base name is appended with an identifier that deterministically identifies a recovery point that the data object is associated with. The base name combined with the identifier represents a data object name for the data object. The named data object is then transmitted to the object storage service for backup of the data extent. At an initial backup, the full storage device is copied. In incremental backups afterwards, only those data extents that changed are backed up.1. A method comprising:
identifying a data extent of an address space of a storage device; generating a data object encapsulating data of the data extent of the storage device; naming the data object with a base name representing a logical block address (LBA) of the data extent; appending the base name with an identifier that deterministically identifies a recovery point that the data object is associated with, the base name and the identifier making up a data object name for the data object; and providing the data object and the corresponding data object name to a cloud storage for backup of the data extent. 2. The method of claim 1, further comprising:
designating a portion of the storage device as the data extent. 3. The method of claim 1 further comprising:
dividing the address space of the storage device into a plurality of data extents; and
repeating the generating, naming, appending, and providing for each of the plurality of data extents to back up the storage device. 4. The method of claim 1, further comprising:
detecting, during a time interval, a command sent to the storage device that indicates a change to the data extent during the time interval; generating, at the end of the time interval, an updated data object that encapsulates data corresponding to the changed data extent; naming the updated data object with a base name representing an LBA of the changed data extent; appending the base name with a second identifier that deterministically identifies an updated recovery point that the data object is associated with; and providing the updated data object to the cloud storage. 5. The method of claim 4, further comprising:
generating a metadata object that defines a supported set of recovery points for the data object; and generating an updated metadata object that defines a supported set of updated recovery points for the updated data object. 6. The method of claim 5, further comprising:
determining whether any metadata objects prior to the updated metadata object are older than a supported number of recover points; identifying any data objects associated with the older metadata objects for deletion in response to the determining; determining which of the identified data objects do not correspond to at least one of the set of updated recovery points; and instructing the cloud storage to delete an identified data object that does not correspond to at least one of the updated recovery points. 7. The method of claim 1, wherein the generating further comprises:
compressing the data corresponding to the data extent using a compression algorithm; encrypting the compressed data using an encryption algorithm; and inserting, into the data object, metadata describing the compression algorithm and the encryption algorithm used. 8. The method of claim 1, further comprising:
generating a configuration metadata object that describes the storage device, including at least one of system name, storage device capacity, and block size of the storage device; and providing the configuration metadata object to the cloud storage with the data object. 9. A computing device comprising:
a memory containing machine readable medium comprising machine executable code having stored thereon instructions for performing a method of backing up a storage device; a processor coupled to the memory, the processor configured to execute the machine executable code to:
generate a data object that encapsulates a data extent comprising an address range of the storage device;
name the data object with a base name representing a logical block address (LBA) of the data extent;
append the base name with an identifier that deterministically identifies a recovery point that the data object is associated with, the base name and the identifier making up a data object name for the data object; and
transmit the data object and the data object name to a cloud storage for backup of the data extent. 10. The computing device of claim 9, wherein the processor is further configured to execute the machine executable code to:
designate a section of the storage device as the data extent. 11. The computing device of claim 9, wherein the processor is further configured to execute the machine executable code to:
detect, during a time interval, a command sent to the storage device that indicates a change to the data extent during the time interval; generate, at the end of the time interval, an updated data object that encapsulates the changed data extent; name the updated data object with a base name representing a logical block address (LBA) of the changed data extent; append the base name with an updated identifier that deterministically identifies an updated recovery point that the updated data object is associated with; and transmit the updated data object to the cloud storage. 12. The computing device of claim 11, wherein the processor is further configured to execute the machine executable code to:
generate a metadata object that defines a supported set of recovery points for the data object; and generate an updated metadata object that defines a supported set of updated recovery points for the updated data object. 13. The computing device of claim 12, wherein the processor is further configured to execute the machine executable code to:
determine whether any metadata objects prior to the updated metadata object are older than a supported number of recovery points; identify any data objects associated with the older metadata objects for deletion in response to the determination; determine which of the identified data objects are associated with the set of updated recovery points; and instruct the cloud storage to delete an object of the identified data objects that is not associated with the set of updated recover points. 14. The computing device of claim 9, wherein the processor is further configured to execute the machine executable code to:
compress the data extent using a compression algorithm; encrypt the compressed data extent using an encryption algorithm; and insert, into the data object, metadata describing the compression and encryption algorithms used. 15. The computing device of claim 9, wherein:
the storage device comprises a plurality of sections; and the processor is further configured to execute the machine executable code to:
divide the storage device into a plurality of data extents; and
repeat the generation, naming, appending, and transmission for each of the plurality of data extents to back up the storage device. 16. A non-transitory machine readable medium having stored thereon instructions for performing a method of backing up a storage device, comprising machine executable code which when executed by at least one machine, causes the machine to:
divide the storage device into a plurality of data extents; generate a plurality of initial data objects that encapsulate and correspond to the plurality of data extents; name each of the plurality of initial data objects with a base name representing a corresponding logical block address (LBA) of the respective data extent; append the base names with corresponding identifiers that deterministically identify an initial recovery point that the plurality of initial data objects are associated with, the base names combined with the identifiers making up data object names corresponding to the plurality of initial data objects; and transmit the plurality of initial data objects to a cloud storage for backup of the storage device. 17. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
detect, during a time interval, a command sent to the storage device that indicates a change to any one of the plurality of data extents during the first time interval; generate, at the end of the time interval, an updated data object that encapsulates the changed data extent; name the updated data object with a base name representing a logical block address (LBA) of the changed data extent; append the base name with an updated identifier that deterministically identifies an updated recovery point that the updated data object is associated with; and transmit the updated data object to the cloud storage. 18. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
compress each of the plurality of data extents using a compression algorithm; encrypt each of the compressed data extents using an encryption algorithm; and insert, into corresponding ones of the plurality of initial data objects, metadata describing the compression and encryption algorithms used. 19. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
generate a configuration metadata object that describes the storage device, including at least one of system name, storage device capacity, and block size of the storage device; and transmit the configuration metadata object to the cloud storage with the plurality of initial data objects. 20. The non-transitory machine readable medium of claim 16, comprising further machine executable code that causes the machine to:
back up only address ranges that have been provisioned on a thin provisioned volume of the storage device. | 2,100 |
5,816 | 5,816 | 14,077,006 | 2,159 | The embodiments described herein include one embodiment that provides a control method that includes connecting a first controller to a control system; receiving control system configuration data from a database, in which the configuration data comprises holistic state data of a second controller in the control system; and configuring operation of the first controller based at least in part on the configuration data received. | 1. A control method, comprising:
connecting a first controller to a control system; receiving control system configuration data from a database, wherein the configuration data comprises holistic state data of a second controller in the control system; and configuring operation of the first controller based at least in part on the configuration data received. 2. The control method of claim 1, wherein the holistic state data of the second controller comprises a model, an objective function, input variables, output variables, constraints, a control matrix, a status, predicted controller actions, controller settings, an optimization state, or any combination thereof. 3. The control method of claim 2, wherein configuring operation of the first controller comprises employing the second controller to perform a branch optimization search based at least in part on the model, objective function, and controller settings of the second controller. 4. The control method of claim 1, wherein configuration operation of the first controller comprises performing an optimization search based at least in part on the holistic state data of the second controller, wherein the holistic state data of the second controller comprises an operational parameter determined by the second controller. 5. The control method of claim 1, wherein configuration operation of the first controller comprises:
simulating operation of the second controller with the first controller, wherein the first controller is a simulated controller; and performing diagnostics on the simulated operation of the first controller. 6. The control method of claim 5, wherein performing diagnostics comprises comparing a simulated response to the first controller with an actual response to the second controller. 7. The control method of claim 1, comprising performing a control operation based at least in part on the first controller configuration. 8. A control method, comprising:
determining an intermediate search result in a first controller during an optimization search; receiving data from a database, wherein the data comprises data determined by and written to the database by a second controller; and determining a next search result in the optimization search based at least in part on the data received. 9. The control method of claim 8, wherein determining the next search result comprises updating the optimization search based at least in part on the data received, wherein the data received comprises an operational parameter determined by the second controller. 10. The control method of claim 9, wherein the data is holistic state data comprising a model, an objective function, input variables, output variables, constraints, a control matrix, a status, predicted controller actions, controller settings, an optimization state, or any combination thereof. 11. The control method of claim 8, comprising writing a setpoint value to the database, wherein the data determined and written to the database by the second controller comprises a branch optimization search result based at least in part on the setpoint value. 12. The control method of claim 8, wherein determining the next search result comprises selecting a less costly search result based at least in part on the data received, wherein the data comprises:
a first search result determined by and written to the database by the second controller; and a second search result determined by and written to the database by a third controller. 13. The control method of claim 8, comprising:
exiting the optimization search before an optimum search result is determined, wherein exiting the optimization search comprises:
capturing a state of the optimization search comprising the intermediate search result, the next search result, optimization search settings, an optimization search status, or any combination thereof; and
writing the captured state of the optimization search to the database; and
resuming a control operation. 14. The control method of claim 13, comprising resuming the optimization search based at least in part on the captured state of the optimization search. 15. A control system, comprising:
a first controller; a second controller; and a database communicatively coupled to the first controller and second controller, wherein the database is configured to facilitate communication of data from the first controller to the second controller by:
storing the data received from the first controller; and
in response to a request from the second controller, transmitting the stored data to the second controller, wherein the second controller is configured to configure its operation based at least in part on the stored data. 16. The control system of claim 15, wherein the second controller is configured to:
request the stored data during an optimization search; and configure its operation by continuing the optimization search based at least in part on the data received from the database, wherein the data comprises an operational parameter of the control system. 17. The control system of claim 15, wherein the second controller is configured to configure its operation by employing the first controller to perform a branch optimization search based at least in part on the stored data, wherein the stored data comprises holistic state data of the first controller. 18. The control system of claim 17, wherein the holistic state data of the first controller comprises a model, an objective function, input variables, output variables, constraints, a control matrix, a status, predicted controller actions, controller settings, an optimization state, or any combination thereof. 19. The control system of claim 15, wherein the first controller comprises memory and the memory comprises the database. 20. The control system of claim 15, wherein the database is a network database, a database module, an in-memory database, or any combination thereof. | The embodiments described herein include one embodiment that provides a control method that includes connecting a first controller to a control system; receiving control system configuration data from a database, in which the configuration data comprises holistic state data of a second controller in the control system; and configuring operation of the first controller based at least in part on the configuration data received.1. A control method, comprising:
connecting a first controller to a control system; receiving control system configuration data from a database, wherein the configuration data comprises holistic state data of a second controller in the control system; and configuring operation of the first controller based at least in part on the configuration data received. 2. The control method of claim 1, wherein the holistic state data of the second controller comprises a model, an objective function, input variables, output variables, constraints, a control matrix, a status, predicted controller actions, controller settings, an optimization state, or any combination thereof. 3. The control method of claim 2, wherein configuring operation of the first controller comprises employing the second controller to perform a branch optimization search based at least in part on the model, objective function, and controller settings of the second controller. 4. The control method of claim 1, wherein configuration operation of the first controller comprises performing an optimization search based at least in part on the holistic state data of the second controller, wherein the holistic state data of the second controller comprises an operational parameter determined by the second controller. 5. The control method of claim 1, wherein configuration operation of the first controller comprises:
simulating operation of the second controller with the first controller, wherein the first controller is a simulated controller; and performing diagnostics on the simulated operation of the first controller. 6. The control method of claim 5, wherein performing diagnostics comprises comparing a simulated response to the first controller with an actual response to the second controller. 7. The control method of claim 1, comprising performing a control operation based at least in part on the first controller configuration. 8. A control method, comprising:
determining an intermediate search result in a first controller during an optimization search; receiving data from a database, wherein the data comprises data determined by and written to the database by a second controller; and determining a next search result in the optimization search based at least in part on the data received. 9. The control method of claim 8, wherein determining the next search result comprises updating the optimization search based at least in part on the data received, wherein the data received comprises an operational parameter determined by the second controller. 10. The control method of claim 9, wherein the data is holistic state data comprising a model, an objective function, input variables, output variables, constraints, a control matrix, a status, predicted controller actions, controller settings, an optimization state, or any combination thereof. 11. The control method of claim 8, comprising writing a setpoint value to the database, wherein the data determined and written to the database by the second controller comprises a branch optimization search result based at least in part on the setpoint value. 12. The control method of claim 8, wherein determining the next search result comprises selecting a less costly search result based at least in part on the data received, wherein the data comprises:
a first search result determined by and written to the database by the second controller; and a second search result determined by and written to the database by a third controller. 13. The control method of claim 8, comprising:
exiting the optimization search before an optimum search result is determined, wherein exiting the optimization search comprises:
capturing a state of the optimization search comprising the intermediate search result, the next search result, optimization search settings, an optimization search status, or any combination thereof; and
writing the captured state of the optimization search to the database; and
resuming a control operation. 14. The control method of claim 13, comprising resuming the optimization search based at least in part on the captured state of the optimization search. 15. A control system, comprising:
a first controller; a second controller; and a database communicatively coupled to the first controller and second controller, wherein the database is configured to facilitate communication of data from the first controller to the second controller by:
storing the data received from the first controller; and
in response to a request from the second controller, transmitting the stored data to the second controller, wherein the second controller is configured to configure its operation based at least in part on the stored data. 16. The control system of claim 15, wherein the second controller is configured to:
request the stored data during an optimization search; and configure its operation by continuing the optimization search based at least in part on the data received from the database, wherein the data comprises an operational parameter of the control system. 17. The control system of claim 15, wherein the second controller is configured to configure its operation by employing the first controller to perform a branch optimization search based at least in part on the stored data, wherein the stored data comprises holistic state data of the first controller. 18. The control system of claim 17, wherein the holistic state data of the first controller comprises a model, an objective function, input variables, output variables, constraints, a control matrix, a status, predicted controller actions, controller settings, an optimization state, or any combination thereof. 19. The control system of claim 15, wherein the first controller comprises memory and the memory comprises the database. 20. The control system of claim 15, wherein the database is a network database, a database module, an in-memory database, or any combination thereof. | 2,100 |
5,817 | 5,817 | 15,253,764 | 2,144 | Systems and methods for manually annotating medical images. One system includes an electronic processor configured to receive, through an input mechanism, a selection of a mark, receive, through the input mechanism, a selection of an annotation type associated with the mark, and store a mapping of the mark to the annotation type. The electronic processor is also configured to receive an annotation for a displayed electronic medical image, the annotation including the mark, and automatically update, based on the mapping, the annotation based on the annotation type. | 1. A system for manually annotating medical images, the system comprising:
an electronic processor configured to:
receive, through an input mechanism, a first selection of a mark,
receive, through the input mechanism, a second selection of an annotation type
associated with the mark,
store a mapping of the mark to the annotation type based on the first selection and the second selection,
receive an annotation for a displayed electronic medical image, the annotation including the mark, and
automatically update, based on the mapping, the annotation based on the annotation type. 2. The system of claim 1, wherein the mark includes a shape. 3. The system of claim 1, wherein the annotation type includes a lesion type. 4. The system of claim 1, wherein the annotation type includes a benign region type. 5. The system of claim 1, wherein the annotation type includes a mass type. 6. A method for annotating medical images, the method comprising:
displaying an electronic medical image; receiving an annotation for the electronic medical image; identifying, with an electronic processor, a stored rule based on the annotation, the stored rule specifying whether one or more values should be automatically generated for the annotation; executing, with the electronic processor, the stored rule based on the annotation; and automatically modifying, with the electronic processor, the annotation based on executing the stored rule. 7. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on a reader assigned to the electronic medical image. 8. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on at least one selected from an imaging site and a reading site associated with the electronic medical image. 9. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on an exam type of the electronic medical image. 10. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on an anatomical structure represented in the electronic medical image. 11. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on an anatomical structure associated with the annotation. 12. The method of claim 6, wherein automatically modifying the annotation based on executing the stored rule includes automatically determining a value for the annotation based on the electronic medical image. 13. The method of claim 6, wherein automatically modifying the annotation based on executing the stored rule includes prompting a reader for a value for the annotation, wherein the stored rule specifies at least one type of value included in the annotation. 14. The method of claim 6, wherein automatically modifying the annotation based on executing the stored rule includes automatically determining a first value for the first annotation based on a second value associated with a second annotation. 15. Non-transitory computer-readable medium including instructions that, when executed by an electronic processor, cause the electronic processor to perform a set of functions, the set of functions comprising:
receiving, through a user interface, a first selection of a mark; receiving, through the user interface, a second selection of an annotation type associated with the mark; storing a mapping of the mark to the annotation type based on the first selection and the second selection; receiving an annotation for a displayed electronic medical image, the annotation including the mark; and automatically updating, based on the mapping, the annotation based on the annotation type. 16. The computer-readable medium of claim 15, wherein the first selection of the mark includes a manually-drawn version of the mark. 17. The computer-readable medium of claim 15, wherein the first selection of the mark includes a selection of the mark from a list of available marks. 18. The computer-readable medium of claim 15, wherein automatically updating, based on the mapping, the annotation based on the annotation type includes automatically generating a value for the annotation. 19. The computer-readable medium of claim 15, wherein automatically updating, based on the mapping, the annotation based on the annotation type includes at least one selected from a group consisting of generating a default value for the annotation and generating a calculated value for the annotation based on the displayed electronic medical image. | Systems and methods for manually annotating medical images. One system includes an electronic processor configured to receive, through an input mechanism, a selection of a mark, receive, through the input mechanism, a selection of an annotation type associated with the mark, and store a mapping of the mark to the annotation type. The electronic processor is also configured to receive an annotation for a displayed electronic medical image, the annotation including the mark, and automatically update, based on the mapping, the annotation based on the annotation type.1. A system for manually annotating medical images, the system comprising:
an electronic processor configured to:
receive, through an input mechanism, a first selection of a mark,
receive, through the input mechanism, a second selection of an annotation type
associated with the mark,
store a mapping of the mark to the annotation type based on the first selection and the second selection,
receive an annotation for a displayed electronic medical image, the annotation including the mark, and
automatically update, based on the mapping, the annotation based on the annotation type. 2. The system of claim 1, wherein the mark includes a shape. 3. The system of claim 1, wherein the annotation type includes a lesion type. 4. The system of claim 1, wherein the annotation type includes a benign region type. 5. The system of claim 1, wherein the annotation type includes a mass type. 6. A method for annotating medical images, the method comprising:
displaying an electronic medical image; receiving an annotation for the electronic medical image; identifying, with an electronic processor, a stored rule based on the annotation, the stored rule specifying whether one or more values should be automatically generated for the annotation; executing, with the electronic processor, the stored rule based on the annotation; and automatically modifying, with the electronic processor, the annotation based on executing the stored rule. 7. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on a reader assigned to the electronic medical image. 8. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on at least one selected from an imaging site and a reading site associated with the electronic medical image. 9. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on an exam type of the electronic medical image. 10. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on an anatomical structure represented in the electronic medical image. 11. The method of claim 6, wherein identifying the stored rule includes identifying the stored rule based on an anatomical structure associated with the annotation. 12. The method of claim 6, wherein automatically modifying the annotation based on executing the stored rule includes automatically determining a value for the annotation based on the electronic medical image. 13. The method of claim 6, wherein automatically modifying the annotation based on executing the stored rule includes prompting a reader for a value for the annotation, wherein the stored rule specifies at least one type of value included in the annotation. 14. The method of claim 6, wherein automatically modifying the annotation based on executing the stored rule includes automatically determining a first value for the first annotation based on a second value associated with a second annotation. 15. Non-transitory computer-readable medium including instructions that, when executed by an electronic processor, cause the electronic processor to perform a set of functions, the set of functions comprising:
receiving, through a user interface, a first selection of a mark; receiving, through the user interface, a second selection of an annotation type associated with the mark; storing a mapping of the mark to the annotation type based on the first selection and the second selection; receiving an annotation for a displayed electronic medical image, the annotation including the mark; and automatically updating, based on the mapping, the annotation based on the annotation type. 16. The computer-readable medium of claim 15, wherein the first selection of the mark includes a manually-drawn version of the mark. 17. The computer-readable medium of claim 15, wherein the first selection of the mark includes a selection of the mark from a list of available marks. 18. The computer-readable medium of claim 15, wherein automatically updating, based on the mapping, the annotation based on the annotation type includes automatically generating a value for the annotation. 19. The computer-readable medium of claim 15, wherein automatically updating, based on the mapping, the annotation based on the annotation type includes at least one selected from a group consisting of generating a default value for the annotation and generating a calculated value for the annotation based on the displayed electronic medical image. | 2,100 |
5,818 | 5,818 | 14,256,606 | 2,158 | A method of and system for providing content-related interactivity services to a mobile device, comprising receiving automatically by a content server from a wireless connection first information related to browsing interests of a user of the mobile device, receiving automatically by the content server metadata describing live-content, retrieving automatically based on the first information and the metadata, personalized content related to the browsing interests of the user, by an adaptive search engine in communication with the content server, wherein the search by the adaptive search engine is based upon criteria related to the user, storing the personalized content in memory associated with the content server, and forwarding automatically by the content server the personalized content to the mobile device using a facility selected from the group comprising an over-the-air broadcast transmitter and the wireless connection. | 1. A method of providing content-related interactivity services to a mobile device, comprising:
receiving automatically by a content server from a wireless connection first information related to browsing interests of a user of the mobile device; receiving automatically by the content server metadata describing live-content, wherein the live content is scheduled for over-the-air broadcast, wherein the broadcast of the live content is not under control of the content server; retrieving automatically based on the first information and the metadata, personalized content related to the browsing interests of the user, by an adaptive search engine in communication with the content server, wherein the search by the adaptive search engine is based upon criteria related to the user; storing the personalized content in memory associated with the content server; and forwarding automatically by the content server the personalized content to the mobile device using a facility selected from the group comprising an over-the-air broadcast transmitter and the wireless connection. 2. The method of claim 1, wherein the metadata is provided by an entity selected from the group comprising a content provider, a service provider, a broadcaster and an operator of the over-the-air transmitter. 3. The method of claim 1, wherein the personalized content is stored prior to transmission of related live content. 4. The method of claim 1, wherein the criteria are selected from the group comprising the user's content viewing history, the content location, the content schedule, the user's preferences, recommendations from one or more social networks of which the user is a member, the geographic location of the user, and the user environment. 5. The method of claim 1, wherein the personalized content is selected from the group comprising application programs, non-scheduled audio-visual content, textual content, and graphics content. 6. The method of claim 1, wherein the personalized content is stored in a non-volatile memory by the mobile device. 7. The method of claim 1, wherein the mobile device is transported from place to place by a vehicle. 8. The method of claim 1, wherein a pedestrian user transports the mobile device from place to place. 9. A system for providing content-related interactivity services to a mobile device, comprising:
a content server comprising a first communications interface for automatically receiving metadata describing live content, and a second communications interface for receiving automatically from the mobile device first information related to browsing interests of a user of the mobile device, wherein the live content is scheduled for over-the-air broadcast, wherein the broadcast of the live content is not under control of the content server, wherein the second communications interface communicates the first information to the content server from a wireless connection; an adaptive search engine comprising a third communications interface for retrieving automatically personalized content and a fourth communications interface for sending the personalized content to the content server, wherein the personalized content is retrieved by the adaptive search engine based on the metadata and the first information, wherein the search by the adaptive search engine is based upon criteria related to the user; a memory associated with the content server for storing the personalized content; and a transmitter for automatically transmitting by the content server the personalized content to the mobile device using a facility selected from the group comprising an over-the-air broadcast transmitter and the wireless connection. 10. The system of claim 9, wherein the criteria are selected from the group comprising the user's content viewing history, the content location, the content schedule, the user's preferences, recommendations from one or more social networks of which the user is a member, the geographic location of the user, and the user environment. 11. The system of claim 9, wherein the personalized content is stored in a non-volatile memory by the mobile device. 12. The system of claim 9, wherein the personalized content is selected from the group comprising application programs, non-scheduled audio-visual content, textual content, and graphics content. 13. The system of claim 9, wherein the mobile device is permanently affixed to a vehicle. 14. The system of claim 9, wherein the mobile device is transportable by a pedestrian user. 15. The system of claim 9, wherein a connection between the wireless connection and the mobile device comprises a long-range wireless connection. 16. The system of claim 9, wherein a connection between the wireless connection and the mobile device comprises a short-range wireless connection. 17. The system of claim 16, wherein the short-range wireless connection comprises an IEEE 802.11 connection. | A method of and system for providing content-related interactivity services to a mobile device, comprising receiving automatically by a content server from a wireless connection first information related to browsing interests of a user of the mobile device, receiving automatically by the content server metadata describing live-content, retrieving automatically based on the first information and the metadata, personalized content related to the browsing interests of the user, by an adaptive search engine in communication with the content server, wherein the search by the adaptive search engine is based upon criteria related to the user, storing the personalized content in memory associated with the content server, and forwarding automatically by the content server the personalized content to the mobile device using a facility selected from the group comprising an over-the-air broadcast transmitter and the wireless connection.1. A method of providing content-related interactivity services to a mobile device, comprising:
receiving automatically by a content server from a wireless connection first information related to browsing interests of a user of the mobile device; receiving automatically by the content server metadata describing live-content, wherein the live content is scheduled for over-the-air broadcast, wherein the broadcast of the live content is not under control of the content server; retrieving automatically based on the first information and the metadata, personalized content related to the browsing interests of the user, by an adaptive search engine in communication with the content server, wherein the search by the adaptive search engine is based upon criteria related to the user; storing the personalized content in memory associated with the content server; and forwarding automatically by the content server the personalized content to the mobile device using a facility selected from the group comprising an over-the-air broadcast transmitter and the wireless connection. 2. The method of claim 1, wherein the metadata is provided by an entity selected from the group comprising a content provider, a service provider, a broadcaster and an operator of the over-the-air transmitter. 3. The method of claim 1, wherein the personalized content is stored prior to transmission of related live content. 4. The method of claim 1, wherein the criteria are selected from the group comprising the user's content viewing history, the content location, the content schedule, the user's preferences, recommendations from one or more social networks of which the user is a member, the geographic location of the user, and the user environment. 5. The method of claim 1, wherein the personalized content is selected from the group comprising application programs, non-scheduled audio-visual content, textual content, and graphics content. 6. The method of claim 1, wherein the personalized content is stored in a non-volatile memory by the mobile device. 7. The method of claim 1, wherein the mobile device is transported from place to place by a vehicle. 8. The method of claim 1, wherein a pedestrian user transports the mobile device from place to place. 9. A system for providing content-related interactivity services to a mobile device, comprising:
a content server comprising a first communications interface for automatically receiving metadata describing live content, and a second communications interface for receiving automatically from the mobile device first information related to browsing interests of a user of the mobile device, wherein the live content is scheduled for over-the-air broadcast, wherein the broadcast of the live content is not under control of the content server, wherein the second communications interface communicates the first information to the content server from a wireless connection; an adaptive search engine comprising a third communications interface for retrieving automatically personalized content and a fourth communications interface for sending the personalized content to the content server, wherein the personalized content is retrieved by the adaptive search engine based on the metadata and the first information, wherein the search by the adaptive search engine is based upon criteria related to the user; a memory associated with the content server for storing the personalized content; and a transmitter for automatically transmitting by the content server the personalized content to the mobile device using a facility selected from the group comprising an over-the-air broadcast transmitter and the wireless connection. 10. The system of claim 9, wherein the criteria are selected from the group comprising the user's content viewing history, the content location, the content schedule, the user's preferences, recommendations from one or more social networks of which the user is a member, the geographic location of the user, and the user environment. 11. The system of claim 9, wherein the personalized content is stored in a non-volatile memory by the mobile device. 12. The system of claim 9, wherein the personalized content is selected from the group comprising application programs, non-scheduled audio-visual content, textual content, and graphics content. 13. The system of claim 9, wherein the mobile device is permanently affixed to a vehicle. 14. The system of claim 9, wherein the mobile device is transportable by a pedestrian user. 15. The system of claim 9, wherein a connection between the wireless connection and the mobile device comprises a long-range wireless connection. 16. The system of claim 9, wherein a connection between the wireless connection and the mobile device comprises a short-range wireless connection. 17. The system of claim 16, wherein the short-range wireless connection comprises an IEEE 802.11 connection. | 2,100 |
5,819 | 5,819 | 15,381,349 | 2,132 | A method and system to perform deterministic timing analysis of a plurality of software tasks involves cache memory that is shared by the plurality of software tasks. Real memory is accessible by the plurality of software tasks. A task scheduler establishes a cache flush between executions of consecutive tasks among the plurality of software tasks. The cache flush includes movement of data in the cache memory to the real memory. A processor executes the plurality of software tasks to obtain a worst case execution time (WCET) associated with each of the plurality of software tasks. | 1. A system to perform deterministic timing analysis of a plurality of software tasks, the system comprising:
cache memory that is shared by the plurality of software tasks; real memory accessible by the plurality of software tasks; a task scheduler configured to establish a cache flush between executions of consecutive tasks among the plurality of software tasks, wherein the cache flush includes movement of data in the cache memory to the real memory; and a processor configured to execute the plurality of software tasks to obtain a worst case execution time (WCET) associated with each of the plurality of software tasks. 2. The system according to claim 1, further comprising a memory manager configured to lock a subset of the cache memory. 3. The system according to claim 2, wherein the subset of the cache memory is not used by the plurality of software tasks and does not require the cache flush. 4. The system according to claim 1, wherein the cache memory is part of a microprocessor and the real memory is external to the microprocessor. 5. The system according to claim 1, wherein the plurality of software tasks are partitioned into two or more groups and the real memory is apportioned among the two or more groups. 6. The system according to claim 1, wherein the system is disposed in an aircraft. 7. A method of performing deterministic timing analysis of a plurality of software tasks, the method comprising:
establishing a cache flush between executions of consecutive tasks among the plurality of software tasks, wherein the cache flush includes movement of data in cache memory that is shared by the plurality of software tasks to real memory; and executing, using a processor, the plurality of software tasks to obtain a worst case execution time (WCET) associated with each of the plurality of software tasks. 8. The method according to claim 7, further comprising locking a subset of the cache memory, wherein the cache memory is part of a microprocessor that executes the plurality of software tasks and the real memory is external to the microprocessor. 9. The method according to claim 8, further comprising disposing the microprocessor and the real memory in an avionic system. 10. The method according to claim 7, further comprising partitioning the plurality of software tasks into two or more groups and apportioning the real memory among the two or more groups. 11. A non-transitory computer-readable medium storing instructions therein which, when processed by a processor, implement a method of performing deterministic timing analysis of a plurality of software tasks, the method comprising:
establishing a cache flush between executions of consecutive tasks among the plurality of software tasks, wherein the cache flush includes movement of data in cache memory that is shared by the plurality of software tasks to real memory; and obtaining a worst case execution time (WCET) associated with each of the plurality of software tasks based on executing the plurality of software tasks with the cache flush between executions of consecutive tasks. 12. The non-transitory computer-readable medium according to claim 11, further comprising locking a subset of the cache memory, wherein the non-transitory computer-readable medium and cache memory are part of a microprocessor that executes the plurality of software tasks and the real memory is external to the microprocessor. 13. The non-transitory computer-readable medium according to claim 11, further comprising partitioning the plurality of software tasks into two or more groups and apportioning the real memory among the two or more groups. 14. The non-transitory computer-readable medium according to claim 13, wherein the two or more groups are partitioned according to a certification level of the plurality of software tasks. | A method and system to perform deterministic timing analysis of a plurality of software tasks involves cache memory that is shared by the plurality of software tasks. Real memory is accessible by the plurality of software tasks. A task scheduler establishes a cache flush between executions of consecutive tasks among the plurality of software tasks. The cache flush includes movement of data in the cache memory to the real memory. A processor executes the plurality of software tasks to obtain a worst case execution time (WCET) associated with each of the plurality of software tasks.1. A system to perform deterministic timing analysis of a plurality of software tasks, the system comprising:
cache memory that is shared by the plurality of software tasks; real memory accessible by the plurality of software tasks; a task scheduler configured to establish a cache flush between executions of consecutive tasks among the plurality of software tasks, wherein the cache flush includes movement of data in the cache memory to the real memory; and a processor configured to execute the plurality of software tasks to obtain a worst case execution time (WCET) associated with each of the plurality of software tasks. 2. The system according to claim 1, further comprising a memory manager configured to lock a subset of the cache memory. 3. The system according to claim 2, wherein the subset of the cache memory is not used by the plurality of software tasks and does not require the cache flush. 4. The system according to claim 1, wherein the cache memory is part of a microprocessor and the real memory is external to the microprocessor. 5. The system according to claim 1, wherein the plurality of software tasks are partitioned into two or more groups and the real memory is apportioned among the two or more groups. 6. The system according to claim 1, wherein the system is disposed in an aircraft. 7. A method of performing deterministic timing analysis of a plurality of software tasks, the method comprising:
establishing a cache flush between executions of consecutive tasks among the plurality of software tasks, wherein the cache flush includes movement of data in cache memory that is shared by the plurality of software tasks to real memory; and executing, using a processor, the plurality of software tasks to obtain a worst case execution time (WCET) associated with each of the plurality of software tasks. 8. The method according to claim 7, further comprising locking a subset of the cache memory, wherein the cache memory is part of a microprocessor that executes the plurality of software tasks and the real memory is external to the microprocessor. 9. The method according to claim 8, further comprising disposing the microprocessor and the real memory in an avionic system. 10. The method according to claim 7, further comprising partitioning the plurality of software tasks into two or more groups and apportioning the real memory among the two or more groups. 11. A non-transitory computer-readable medium storing instructions therein which, when processed by a processor, implement a method of performing deterministic timing analysis of a plurality of software tasks, the method comprising:
establishing a cache flush between executions of consecutive tasks among the plurality of software tasks, wherein the cache flush includes movement of data in cache memory that is shared by the plurality of software tasks to real memory; and obtaining a worst case execution time (WCET) associated with each of the plurality of software tasks based on executing the plurality of software tasks with the cache flush between executions of consecutive tasks. 12. The non-transitory computer-readable medium according to claim 11, further comprising locking a subset of the cache memory, wherein the non-transitory computer-readable medium and cache memory are part of a microprocessor that executes the plurality of software tasks and the real memory is external to the microprocessor. 13. The non-transitory computer-readable medium according to claim 11, further comprising partitioning the plurality of software tasks into two or more groups and apportioning the real memory among the two or more groups. 14. The non-transitory computer-readable medium according to claim 13, wherein the two or more groups are partitioned according to a certification level of the plurality of software tasks. | 2,100 |
5,820 | 5,820 | 14,708,146 | 2,144 | A data profiling module receives user selection of spreadsheets, and the data from the selected spreadsheets is profiled. At least one matching column is identified among the spreadsheets selected. The data profiling module calculates a match metric for the at least one matching column, and unifies the spreadsheets into a single composite spreadsheet using the at least one identified matching column. A preview view of a composite spreadsheet is generated, visually indicating the at least one matching column, any non-matching columns between the spreadsheets, and the match metric for the matching columns. An action history module identifies spreadsheets for use in the procedure, and stores any action applied to the spreadsheets as a procedure template that can be applied to a plurality of other spreadsheets. | 1. A computer-executed method of previewing a composite data set, comprising:
retrieving from one or more sources first and second data sets;
formatting each data set into a plurality of columns of data values;
profiling the data values from the first and second data sets to identify data types and data domains for the plurality of columns of data values; identifying at least one matching column among the first and second data sets based on the profiling; calculating a match metric for the at least one matching column among the first and second data sets; unifying the first and second data sets into the single composite spreadsheet using the at least one identified matching column; and generating a preview view of the composite spreadsheet visually indicating the at least one matching column, a plurality of non-matching columns among the first and second data sets, and the match metric for the at least one matching column. 2. The computer-executed method of claim 1, wherein unifying the first and second data sets into the single composite spreadsheet comprises a join function, wherein the data sets are appended side by side, and the at least one matching column is at least one key column joining the data sets. 3. The computer-executed method of claim 2, wherein identifying at least one matching column among the first and second data sets further comprises:
identifying at least one key column for joining the data sets; receiving user selection of a key column; joining the data sets using the selected key column. 4. The computer-executed method of claim 3, further comprising:
presenting the identified at least one key column for display to the user; and presenting the match metric as the percentage overlap for the at one least key column between the data sets. 5. The computer-executed method of claim 1, wherein unifying the first and second data sets into the single composite spreadsheet comprises a merge function, wherein the data sets are appended with top and bottom. 6. The computer-executed method of claim 5, further comprising:
presenting the identified at least one matching column for display to the user; and presenting the match metric as the percentage overlap for the at least one matching column between the data sets. 7. The computer-executed method of claim 1, wherein unifying the first and second data sets into the single composite spreadsheet comprises a lookup function, wherein a column of data from the first data set is added to the second data set. 8. The computer-executed method of claim 1, wherein the one or more sources are selected from the group consisting of databases, applications, and local files. 9. The computer-executed method of claim 1, wherein the unifying of the first and second data sets into the single composite spreadsheet is in response to a user selection of a composite data control. 10. The computer-executed method of claim 1, further comprising:
committing the unifying of the first and second data sets into the single composite spreadsheet. 11. The computer-executed method of claim 1, further comprising:
profiling the composite spreadsheet; providing data refinement suggestions for at least one column of the composite spreadsheet based on the profiling of the composite spreadsheet. 12. The computer-executed method of claim 11, wherein the data refinement suggestions are selected from the group consisting of validating a known data type, identifying data inconsistencies, standardizing data formats, and enriching the data from additional sources. 13. The computer-executed method of claim 1, further comprising:
providing data overviews for the composite spreadsheet; and providing columnar data overviews for a selected column in the composite spreadsheet. 14. The computer-executed method of claim 13, wherein the data overviews and columnar data overviews comprise interactive graphical representations of the data in the composite spreadsheet. 15. The computer-executed method of claim 1, further comprising:
storing the unifying and any actions taken on the composite spreadsheet as a procedure template that can be applied to a plurality of other data sets. 16. A memory storing a non-transitory computer readable program product executable by a processor, the computer program product generating a user interface of a structured data manipulation system, the user interface comprising:
a data section for displaying a first and second data sets, each data sets formatted to have a plurality of columns of data values; an information section for displaying profiled information about the first and second data sets, the profiled information based on profiling of the data from the first and second data sets to identify data types and data domains for the plurality of columns of data values;
a composite data control for receiving a command to unify the first and second data sets into a composite spreadsheet, the unifying based on at least one matching column among the first and second data sets, the at least one matching column identified based on the profiling;
wherein the data section further comprises a preview of the composite spreadsheet, the preview comprising:
the at least one matching column among the first and second data sets; and
a plurality of non-overlapping columns among the first and second data sets; and wherein the information section further comprises a match metric calculated for the composite spreadsheet based on the at least one matching column among the first and second data sets. 17. The non-transitory computer readable program product of claim 16, wherein the user interface information section displays the single composite spreadsheet with the data sets appended side by side with at least one key column joining the data sets. 18. The non-transitory computer readable program product of claim 16, wherein the user interface information section displays the single composite spreadsheet with the data sets merged such that they are appended top and bottom. 19. The non-transitory computer readable program product of claim 16, wherein the user interface information section displays the single composite spreadsheet with a column of data from the first data set, the first data set comprising lookup data, added to the second data set. 20. The non-transitory computer readable program product of claim 16, wherein the unifying of the first and second data sets into the single composite spreadsheet is in response to a user selection of the composite data control. 21. The non-transitory computer readable program product of claim 16, wherein the information section further comprises data refinement suggestions for at least one column of the composite spreadsheet. 22. The non-transitory computer readable program product of claim 16, wherein the information section further comprises interactive data overviews for at least one column of the composite spreadsheet. 23. The non-transitory computer readable program product of claim 16, wherein the user interface further comprises an action history section for displaying the unifying command and any actions taken on the composite spreadsheet. 24. The non-transitory computer readable program product of claim 23, wherein the action history section further comprises controls for undoing any of the actions in the action history section. 25. The non-transitory computer readable program product of claim 23, wherein the action history section further comprises controls for refreshing the action history for a different combination of data sets. 26. A computer-executed method of creating a reusable procedure template, comprising:
identifying a plurality of data sets for use in the procedure; identifying actions associated with unifying at least a subset of the plurality of data sets into a composite spreadsheet; identifying actions taken on the composite spreadsheet; and storing the unifying actions and the actions taken on the composite spreadsheet as a procedure template that can be applied to a plurality of other data sets. 27. The computer-executed method of claim 26, further comprising:
applying the procedure template to a different combination of data sets, comprising: identifying a second plurality of data sets for use in the procedure; and applying the procedure template to the second plurality of data sets. 28. The computer-executed method of claim 26, further comprising providing a control for undoing of any of the stored actions in the procedure template. 29. The computer-executed method of claim 26, further comprising providing a control for redoing of any of the stored actions in the procedure template. | A data profiling module receives user selection of spreadsheets, and the data from the selected spreadsheets is profiled. At least one matching column is identified among the spreadsheets selected. The data profiling module calculates a match metric for the at least one matching column, and unifies the spreadsheets into a single composite spreadsheet using the at least one identified matching column. A preview view of a composite spreadsheet is generated, visually indicating the at least one matching column, any non-matching columns between the spreadsheets, and the match metric for the matching columns. An action history module identifies spreadsheets for use in the procedure, and stores any action applied to the spreadsheets as a procedure template that can be applied to a plurality of other spreadsheets.1. A computer-executed method of previewing a composite data set, comprising:
retrieving from one or more sources first and second data sets;
formatting each data set into a plurality of columns of data values;
profiling the data values from the first and second data sets to identify data types and data domains for the plurality of columns of data values; identifying at least one matching column among the first and second data sets based on the profiling; calculating a match metric for the at least one matching column among the first and second data sets; unifying the first and second data sets into the single composite spreadsheet using the at least one identified matching column; and generating a preview view of the composite spreadsheet visually indicating the at least one matching column, a plurality of non-matching columns among the first and second data sets, and the match metric for the at least one matching column. 2. The computer-executed method of claim 1, wherein unifying the first and second data sets into the single composite spreadsheet comprises a join function, wherein the data sets are appended side by side, and the at least one matching column is at least one key column joining the data sets. 3. The computer-executed method of claim 2, wherein identifying at least one matching column among the first and second data sets further comprises:
identifying at least one key column for joining the data sets; receiving user selection of a key column; joining the data sets using the selected key column. 4. The computer-executed method of claim 3, further comprising:
presenting the identified at least one key column for display to the user; and presenting the match metric as the percentage overlap for the at one least key column between the data sets. 5. The computer-executed method of claim 1, wherein unifying the first and second data sets into the single composite spreadsheet comprises a merge function, wherein the data sets are appended with top and bottom. 6. The computer-executed method of claim 5, further comprising:
presenting the identified at least one matching column for display to the user; and presenting the match metric as the percentage overlap for the at least one matching column between the data sets. 7. The computer-executed method of claim 1, wherein unifying the first and second data sets into the single composite spreadsheet comprises a lookup function, wherein a column of data from the first data set is added to the second data set. 8. The computer-executed method of claim 1, wherein the one or more sources are selected from the group consisting of databases, applications, and local files. 9. The computer-executed method of claim 1, wherein the unifying of the first and second data sets into the single composite spreadsheet is in response to a user selection of a composite data control. 10. The computer-executed method of claim 1, further comprising:
committing the unifying of the first and second data sets into the single composite spreadsheet. 11. The computer-executed method of claim 1, further comprising:
profiling the composite spreadsheet; providing data refinement suggestions for at least one column of the composite spreadsheet based on the profiling of the composite spreadsheet. 12. The computer-executed method of claim 11, wherein the data refinement suggestions are selected from the group consisting of validating a known data type, identifying data inconsistencies, standardizing data formats, and enriching the data from additional sources. 13. The computer-executed method of claim 1, further comprising:
providing data overviews for the composite spreadsheet; and providing columnar data overviews for a selected column in the composite spreadsheet. 14. The computer-executed method of claim 13, wherein the data overviews and columnar data overviews comprise interactive graphical representations of the data in the composite spreadsheet. 15. The computer-executed method of claim 1, further comprising:
storing the unifying and any actions taken on the composite spreadsheet as a procedure template that can be applied to a plurality of other data sets. 16. A memory storing a non-transitory computer readable program product executable by a processor, the computer program product generating a user interface of a structured data manipulation system, the user interface comprising:
a data section for displaying a first and second data sets, each data sets formatted to have a plurality of columns of data values; an information section for displaying profiled information about the first and second data sets, the profiled information based on profiling of the data from the first and second data sets to identify data types and data domains for the plurality of columns of data values;
a composite data control for receiving a command to unify the first and second data sets into a composite spreadsheet, the unifying based on at least one matching column among the first and second data sets, the at least one matching column identified based on the profiling;
wherein the data section further comprises a preview of the composite spreadsheet, the preview comprising:
the at least one matching column among the first and second data sets; and
a plurality of non-overlapping columns among the first and second data sets; and wherein the information section further comprises a match metric calculated for the composite spreadsheet based on the at least one matching column among the first and second data sets. 17. The non-transitory computer readable program product of claim 16, wherein the user interface information section displays the single composite spreadsheet with the data sets appended side by side with at least one key column joining the data sets. 18. The non-transitory computer readable program product of claim 16, wherein the user interface information section displays the single composite spreadsheet with the data sets merged such that they are appended top and bottom. 19. The non-transitory computer readable program product of claim 16, wherein the user interface information section displays the single composite spreadsheet with a column of data from the first data set, the first data set comprising lookup data, added to the second data set. 20. The non-transitory computer readable program product of claim 16, wherein the unifying of the first and second data sets into the single composite spreadsheet is in response to a user selection of the composite data control. 21. The non-transitory computer readable program product of claim 16, wherein the information section further comprises data refinement suggestions for at least one column of the composite spreadsheet. 22. The non-transitory computer readable program product of claim 16, wherein the information section further comprises interactive data overviews for at least one column of the composite spreadsheet. 23. The non-transitory computer readable program product of claim 16, wherein the user interface further comprises an action history section for displaying the unifying command and any actions taken on the composite spreadsheet. 24. The non-transitory computer readable program product of claim 23, wherein the action history section further comprises controls for undoing any of the actions in the action history section. 25. The non-transitory computer readable program product of claim 23, wherein the action history section further comprises controls for refreshing the action history for a different combination of data sets. 26. A computer-executed method of creating a reusable procedure template, comprising:
identifying a plurality of data sets for use in the procedure; identifying actions associated with unifying at least a subset of the plurality of data sets into a composite spreadsheet; identifying actions taken on the composite spreadsheet; and storing the unifying actions and the actions taken on the composite spreadsheet as a procedure template that can be applied to a plurality of other data sets. 27. The computer-executed method of claim 26, further comprising:
applying the procedure template to a different combination of data sets, comprising: identifying a second plurality of data sets for use in the procedure; and applying the procedure template to the second plurality of data sets. 28. The computer-executed method of claim 26, further comprising providing a control for undoing of any of the stored actions in the procedure template. 29. The computer-executed method of claim 26, further comprising providing a control for redoing of any of the stored actions in the procedure template. | 2,100 |
5,821 | 5,821 | 13,894,448 | 2,144 | A uniform resource locator (URL) link inserted into a note or document can be enhanced through a capture service for curation and collaboration applications, including notebook applications. A local notebook application can call the capture service by sending a request for a webpage representation with a URL indicated for insertion into the note. The local notebook application can receive the representation of the content referenced by the URL in a format customized for the local client. The representation can be displayed as part of a preview window and user interface for inserting a clipping, URL or other content into a note. The capture service can take the URL sent by the local application and take a screenshot of a separately rendered webpage referenced by the URL. | 1. A method of enhancing a link in curation and collaboration applications, comprising:
determining a uniform resource locator (URL) for content; calling a first web service by sending a request with the URL; and receiving a representation of the content referenced by the URL from the first web service in a format customized for a client. 2. The method of claim 1, wherein determining the URL for content comprises recognizing a string of characters as a URL. 3. The method of claim 1, wherein determining the URL for content comprises receiving the URL from a web browser of the client in which the content is rendered. 4. The method of claim 1, further comprising:
inserting the representation of the content into a note. 5. The method of claim 1, wherein the representation is an image of the content. 6. The method of claim 5, wherein the image is a screenshot of a webpage with repetitive background content removed. 7. The method of claim 1, wherein the representation comprises HTML. 8. The method of claim 1, further comprising:
displaying the representation in a preview window in a web browser of the client in which the content is rendered. 9. The method of claim 1, further comprising:
sending the URL to a second web service that determines metadata associated with the content; and receiving the metadata associated with the content. 10. The method of claim 9, wherein the metadata associated with the content comprises topical tags. 11. A user interface comprising:
a preview window for inserting content into a note surfacing in a web browser of a client in response to a selection to capture content of a webpage rendered in the web browser, wherein, in response to receiving an input selecting to insert a screenshot of the webpage, the preview window displays a representation of the content referenced by a URL of the webpage retrieved from a first web service in a format customized for the client, and wherein, in response to receiving an input to save the screenshot of the webpage via the preview window, the representation of the content is saved to the note. 12. The user interface of claim 11, wherein the representation is an image of the content, the image being a screenshot of a webpage with repetitive background content removed. 13. The user interface of claim 11, wherein, in response to receiving the input to save the screenshot of the webpage via the preview window, topical tags for association with the representation of the content are saved to the note with the representation of the content, the topical tags being received from a second web service providing metadata associated with the content of the webpage. 14. A method of generating a uniform resource locator (URL) enhancement, comprising:
receiving a request with a URL; rendering content accessed from a resource at the URL; and transforming the rendered content into a representation customized for a client. 15. The method of claim 14, wherein transforming the rendered content comprises generating an image customized for a view port of a client. 16. The method of claim 14, wherein transforming the rendered content comprises removing advertisements from main content of a webpage to generate the representation. 17. The method of claim 14, wherein transforming the rendered content comprises separating readable text from the rendered content to generate the representation from the readable text. 18. The method of claim 14, wherein transforming the rendered content comprises removing repetitive background content from the rendered content. 19. The method of claim 18, wherein the rendered content comprises a screenshot of a fully scrolled webpage, wherein removing the repetitive background content comprises cropping a bottom portion of the screenshot. 20. The method of claim 14, wherein transforming the rendered content comprises splitting the rendered content into smaller sized files. | A uniform resource locator (URL) link inserted into a note or document can be enhanced through a capture service for curation and collaboration applications, including notebook applications. A local notebook application can call the capture service by sending a request for a webpage representation with a URL indicated for insertion into the note. The local notebook application can receive the representation of the content referenced by the URL in a format customized for the local client. The representation can be displayed as part of a preview window and user interface for inserting a clipping, URL or other content into a note. The capture service can take the URL sent by the local application and take a screenshot of a separately rendered webpage referenced by the URL.1. A method of enhancing a link in curation and collaboration applications, comprising:
determining a uniform resource locator (URL) for content; calling a first web service by sending a request with the URL; and receiving a representation of the content referenced by the URL from the first web service in a format customized for a client. 2. The method of claim 1, wherein determining the URL for content comprises recognizing a string of characters as a URL. 3. The method of claim 1, wherein determining the URL for content comprises receiving the URL from a web browser of the client in which the content is rendered. 4. The method of claim 1, further comprising:
inserting the representation of the content into a note. 5. The method of claim 1, wherein the representation is an image of the content. 6. The method of claim 5, wherein the image is a screenshot of a webpage with repetitive background content removed. 7. The method of claim 1, wherein the representation comprises HTML. 8. The method of claim 1, further comprising:
displaying the representation in a preview window in a web browser of the client in which the content is rendered. 9. The method of claim 1, further comprising:
sending the URL to a second web service that determines metadata associated with the content; and receiving the metadata associated with the content. 10. The method of claim 9, wherein the metadata associated with the content comprises topical tags. 11. A user interface comprising:
a preview window for inserting content into a note surfacing in a web browser of a client in response to a selection to capture content of a webpage rendered in the web browser, wherein, in response to receiving an input selecting to insert a screenshot of the webpage, the preview window displays a representation of the content referenced by a URL of the webpage retrieved from a first web service in a format customized for the client, and wherein, in response to receiving an input to save the screenshot of the webpage via the preview window, the representation of the content is saved to the note. 12. The user interface of claim 11, wherein the representation is an image of the content, the image being a screenshot of a webpage with repetitive background content removed. 13. The user interface of claim 11, wherein, in response to receiving the input to save the screenshot of the webpage via the preview window, topical tags for association with the representation of the content are saved to the note with the representation of the content, the topical tags being received from a second web service providing metadata associated with the content of the webpage. 14. A method of generating a uniform resource locator (URL) enhancement, comprising:
receiving a request with a URL; rendering content accessed from a resource at the URL; and transforming the rendered content into a representation customized for a client. 15. The method of claim 14, wherein transforming the rendered content comprises generating an image customized for a view port of a client. 16. The method of claim 14, wherein transforming the rendered content comprises removing advertisements from main content of a webpage to generate the representation. 17. The method of claim 14, wherein transforming the rendered content comprises separating readable text from the rendered content to generate the representation from the readable text. 18. The method of claim 14, wherein transforming the rendered content comprises removing repetitive background content from the rendered content. 19. The method of claim 18, wherein the rendered content comprises a screenshot of a fully scrolled webpage, wherein removing the repetitive background content comprises cropping a bottom portion of the screenshot. 20. The method of claim 14, wherein transforming the rendered content comprises splitting the rendered content into smaller sized files. | 2,100 |
5,822 | 5,822 | 13,767,777 | 2,128 | A system and method for measurement of the performance of a network by simulation, wherein time divergence is addressed by using discrete event simulation time to control and synchronize time advance or time slow down on virtual machines for large-scale hybrid network emulation, particularly where the loss of fidelity could otherwise be substantial. A dynamic time control and synchronization mechanism is implemented in a hypervisor clock control module on each test bed machine, which enables tight control of virtual machine time using time information from the simulation. A simulator state introspection and control module, running alongside the simulator, enables extraction of time information from the simulation and control of simulation time, which is supplied to the virtual machines. This is accomplished with a small footprint and low overhead. | 1. A system for simulating operation of a network, comprising:
a simulator for simulating operation of said network; and a simulator time clock for providing simulation time to the components of the network, said simulation time being advanced at discrete moments in real time, to advance time when said simulator conducts operations faster than the real time, and to advance more slowly than the real time when said simulator conducts operations more slowly than said real time. 2. The system of claim 1, further comprising a simulator introspection and control module for extracting time information from said simulator, and for control of simulation time. 3. The system of claim 1, further comprising a hypervisor for providing said simulation time and a simulation time advance rate to the simulated components of the network. 4. The system of claim 3, wherein said hypervisor comprises a clock control module, wherein said clock control module receives said simulation time and a time slow down factor. 5. The system of claim 3, wherein said hypervisor comprises:
a clock control module which receives said simulation time and a time slow down factor and provides updated timeout values, and outputs said simulation time, and said simulation time advance rate; a periodic timer and a one shot timer for each simulated component of the network receiving the updated timeout values and for outputting timer interrupts; and a system time setting mechanism for receiving said simulation time and said simulation time advance rate; wherein said simulated components of said network receive one of a time interrupt from one of said periodic timer and said one-shot timer, and said simulation time and said simulation time advance rate from said system time setting mechanism. 6. The system of claim 1, wherein said simulated components are virtual machines. 7. The system of claim 6, wherein said virtual machines represent nodes of said network. 8. The system of claim 7, wherein said system time is a piece-wise linear approximation of actual simulation time in said simulator, sampled at discrete moments in said real time. 9. The system of claim 1, wherein the discrete moments are at constant time intervals from one another. 10. The system of claim 1, wherein said simulation time is constrained so as not to advance faster than said real time. 11. A method system for simulating operation of a network, comprising:
simulating operation of said network; providing simulation time to said components of said network, at discrete moments in real time, to advance time when a simulator conducts operations faster than said real time, and to advance more slowly than said real time when said simulator conducts operations more slowly than said real time. 12. The method of claim 11, wherein said simulation time is driven by a timestamp of a next event to be processed in the simulation. 13. The method of claim 11, wherein said simulation time is driven by receipt of a data packet by a node in said network. 14. The method of claim 11, wherein said simulated components are virtual machines. 15. The method of claim 14, wherein said virtual machines represent nodes of a network. 16. The method of claim 11, wherein said system time is a piece-wise linear approximation of actual simulation time in said simulator, sampled at discrete moments in said real time. 17. The method of claim 11, wherein said discrete moments are at constant time intervals from one another. 18. The method of claim 11, wherein said simulation time is constrained so as not to advance faster than said real time. 19. A computer readable non-transitory storage medium storing instructions of a computer program which when executed by a computer system results in performance of steps of a method for disseminating content, comprising:
simulating operation of said network; providing simulation time to said components of said network, at discrete moments in real time, to advance time when a simulator conducts operations faster than said real time, and to advance more slowly than said real time when said simulator conducts operations more slowly than said real time. | A system and method for measurement of the performance of a network by simulation, wherein time divergence is addressed by using discrete event simulation time to control and synchronize time advance or time slow down on virtual machines for large-scale hybrid network emulation, particularly where the loss of fidelity could otherwise be substantial. A dynamic time control and synchronization mechanism is implemented in a hypervisor clock control module on each test bed machine, which enables tight control of virtual machine time using time information from the simulation. A simulator state introspection and control module, running alongside the simulator, enables extraction of time information from the simulation and control of simulation time, which is supplied to the virtual machines. This is accomplished with a small footprint and low overhead.1. A system for simulating operation of a network, comprising:
a simulator for simulating operation of said network; and a simulator time clock for providing simulation time to the components of the network, said simulation time being advanced at discrete moments in real time, to advance time when said simulator conducts operations faster than the real time, and to advance more slowly than the real time when said simulator conducts operations more slowly than said real time. 2. The system of claim 1, further comprising a simulator introspection and control module for extracting time information from said simulator, and for control of simulation time. 3. The system of claim 1, further comprising a hypervisor for providing said simulation time and a simulation time advance rate to the simulated components of the network. 4. The system of claim 3, wherein said hypervisor comprises a clock control module, wherein said clock control module receives said simulation time and a time slow down factor. 5. The system of claim 3, wherein said hypervisor comprises:
a clock control module which receives said simulation time and a time slow down factor and provides updated timeout values, and outputs said simulation time, and said simulation time advance rate; a periodic timer and a one shot timer for each simulated component of the network receiving the updated timeout values and for outputting timer interrupts; and a system time setting mechanism for receiving said simulation time and said simulation time advance rate; wherein said simulated components of said network receive one of a time interrupt from one of said periodic timer and said one-shot timer, and said simulation time and said simulation time advance rate from said system time setting mechanism. 6. The system of claim 1, wherein said simulated components are virtual machines. 7. The system of claim 6, wherein said virtual machines represent nodes of said network. 8. The system of claim 7, wherein said system time is a piece-wise linear approximation of actual simulation time in said simulator, sampled at discrete moments in said real time. 9. The system of claim 1, wherein the discrete moments are at constant time intervals from one another. 10. The system of claim 1, wherein said simulation time is constrained so as not to advance faster than said real time. 11. A method system for simulating operation of a network, comprising:
simulating operation of said network; providing simulation time to said components of said network, at discrete moments in real time, to advance time when a simulator conducts operations faster than said real time, and to advance more slowly than said real time when said simulator conducts operations more slowly than said real time. 12. The method of claim 11, wherein said simulation time is driven by a timestamp of a next event to be processed in the simulation. 13. The method of claim 11, wherein said simulation time is driven by receipt of a data packet by a node in said network. 14. The method of claim 11, wherein said simulated components are virtual machines. 15. The method of claim 14, wherein said virtual machines represent nodes of a network. 16. The method of claim 11, wherein said system time is a piece-wise linear approximation of actual simulation time in said simulator, sampled at discrete moments in said real time. 17. The method of claim 11, wherein said discrete moments are at constant time intervals from one another. 18. The method of claim 11, wherein said simulation time is constrained so as not to advance faster than said real time. 19. A computer readable non-transitory storage medium storing instructions of a computer program which when executed by a computer system results in performance of steps of a method for disseminating content, comprising:
simulating operation of said network; providing simulation time to said components of said network, at discrete moments in real time, to advance time when a simulator conducts operations faster than said real time, and to advance more slowly than said real time when said simulator conducts operations more slowly than said real time. | 2,100 |
5,823 | 5,823 | 15,061,873 | 2,139 | A storage device includes a non-volatile memory and a memory controller. The memory controller includes a host interface for interfacing with a host system and a memory interface for interfacing with the non-volatile memory. The storage device receives a query including a key from the host system over the host interface. The memory controller further includes a translation layer including a table indexer tree, one or more mapper tables, and one or more location mappers. The table indexer tree contains first mapping information for translating a key received over the host interface to an index. The one or more mapper tables contain second mapping information for obtaining a location of a location mapper that contains an entry associated with the index. The location mapper contains an address of data or data associated with the entry in the non-volatile memory. | 1. A storage device comprising:
a non-volatile memory; and a memory controller including a host interface for interfacing with a host system and a memory interface for interfacing with the non-volatile memory, wherein a query received from the host system over the host interface includes a key, wherein the memory controller further includes a translation layer including a table indexer tree, one or more mapper tables, and one or more location mappers, wherein the table indexer tree contains first mapping information for translating a key received over the host interface to an index, wherein the one or more mapper tables contain second mapping information for obtaining a location of a location mapper that contains an entry associated with the index, and wherein the location mapper contains an address of data or data associated with the entry in the non-volatile memory. 2. The storage device of claim 1, wherein the query is one of a point query, a range query, an insert query, an update query, a delete query, and a modify query. 3. The storage device of claim 1, wherein the table indexer tree and the one or more mapper tables are cached in a memory of the memory controller. 4. The storage device of claim 3, wherein the table indexer tree includes subtrees, and the subtrees are dynamically loaded in the memory of the memory controller. 5. The storage device of claim 3, wherein the one or more location mappers are stored in the non-volatile memory storage or cached to the memory of the memory controller. 6. The storage device of claim 1, wherein the memory controller splits the location mapper and adds a new location mapper when the location mapper exceeds a predetermined size limit. 7. The storage device of claim 1, wherein the memory controller updates the table indexer tree and the one or more mapper tables after the entry is added, deleted, updated, or modified. 8. A database system comprising:
a host computer; a storage device; and a storage interface for interfacing the host computer and the storage device using a query including a key, wherein the storage device comprises a non-volatile memory and a memory controller including a translation layer, and a memory interface for interfacing with the non-volatile memory wherein the translation layer of the storage device includes a table indexer tree, one or more mapper tables, and one or more location mappers, wherein the table indexer tree contains first mapping information for translating a key received over the host interface to an index, wherein the one or more mapper tables contain second mapping information for obtaining a location of a location mapper that contains an entry associated with the index, and wherein the location mapper contains an address of data or data associated with the entry in the non-volatile memory. 9. The database system of claim 8, wherein the query is one of a point query, a range query, an insert query, an update query, a delete query, and a modify query. 10. The database system of claim 8, wherein the memory controller has a memory, and the table indexer tree and the one or more mapper tables are cached in the memory. 11. The database system of claim 10, wherein the table indexer tree includes subtrees, and the subtrees are dynamically loaded in the memory of the memory controller. 12. The database system of claim 10, wherein the one or more location mappers are stored in the non-volatile memory storage or cached to the memory of the memory controller. 13. A method for providing an interface to a non-volatile memory, the method comprising:
receiving a query including a key from a host computer over a host interface; translating the key to an index using a table indexer tree; obtaining location information of a location mapper among one or more location mappers that contains an entry associated with the index using one or more mapper tables, and accessing data associated with the entry in the non-volatile memory using the location information. 14. The method of claim 13, wherein the query is one of a point query, a range query, an insert query, an update query, a delete query, and a modify query. 15. The method of claim 13, further comprising caching the table indexer tree and the one or more mapper tables in a memory of a memory controller. 16. The method of claim 15, further comprising dynamically loading subtrees of the table indexer tree in the memory of the memory controller. 17. The method of claim 13, further comprising storing the one or more location mappers in the non-volatile memory storage or caching the one or more location mappers to the memory of the memory controller. 18. The method of claim 13, further comprising splitting the location mapper and adding a new location mapper when the location mapper exceeds a predetermined size limit. 19. The method of claim 13, further comprising updating the table indexer tree and the one or more mapper tables after the entry is added, deleted, updated, or modified. | A storage device includes a non-volatile memory and a memory controller. The memory controller includes a host interface for interfacing with a host system and a memory interface for interfacing with the non-volatile memory. The storage device receives a query including a key from the host system over the host interface. The memory controller further includes a translation layer including a table indexer tree, one or more mapper tables, and one or more location mappers. The table indexer tree contains first mapping information for translating a key received over the host interface to an index. The one or more mapper tables contain second mapping information for obtaining a location of a location mapper that contains an entry associated with the index. The location mapper contains an address of data or data associated with the entry in the non-volatile memory.1. A storage device comprising:
a non-volatile memory; and a memory controller including a host interface for interfacing with a host system and a memory interface for interfacing with the non-volatile memory, wherein a query received from the host system over the host interface includes a key, wherein the memory controller further includes a translation layer including a table indexer tree, one or more mapper tables, and one or more location mappers, wherein the table indexer tree contains first mapping information for translating a key received over the host interface to an index, wherein the one or more mapper tables contain second mapping information for obtaining a location of a location mapper that contains an entry associated with the index, and wherein the location mapper contains an address of data or data associated with the entry in the non-volatile memory. 2. The storage device of claim 1, wherein the query is one of a point query, a range query, an insert query, an update query, a delete query, and a modify query. 3. The storage device of claim 1, wherein the table indexer tree and the one or more mapper tables are cached in a memory of the memory controller. 4. The storage device of claim 3, wherein the table indexer tree includes subtrees, and the subtrees are dynamically loaded in the memory of the memory controller. 5. The storage device of claim 3, wherein the one or more location mappers are stored in the non-volatile memory storage or cached to the memory of the memory controller. 6. The storage device of claim 1, wherein the memory controller splits the location mapper and adds a new location mapper when the location mapper exceeds a predetermined size limit. 7. The storage device of claim 1, wherein the memory controller updates the table indexer tree and the one or more mapper tables after the entry is added, deleted, updated, or modified. 8. A database system comprising:
a host computer; a storage device; and a storage interface for interfacing the host computer and the storage device using a query including a key, wherein the storage device comprises a non-volatile memory and a memory controller including a translation layer, and a memory interface for interfacing with the non-volatile memory wherein the translation layer of the storage device includes a table indexer tree, one or more mapper tables, and one or more location mappers, wherein the table indexer tree contains first mapping information for translating a key received over the host interface to an index, wherein the one or more mapper tables contain second mapping information for obtaining a location of a location mapper that contains an entry associated with the index, and wherein the location mapper contains an address of data or data associated with the entry in the non-volatile memory. 9. The database system of claim 8, wherein the query is one of a point query, a range query, an insert query, an update query, a delete query, and a modify query. 10. The database system of claim 8, wherein the memory controller has a memory, and the table indexer tree and the one or more mapper tables are cached in the memory. 11. The database system of claim 10, wherein the table indexer tree includes subtrees, and the subtrees are dynamically loaded in the memory of the memory controller. 12. The database system of claim 10, wherein the one or more location mappers are stored in the non-volatile memory storage or cached to the memory of the memory controller. 13. A method for providing an interface to a non-volatile memory, the method comprising:
receiving a query including a key from a host computer over a host interface; translating the key to an index using a table indexer tree; obtaining location information of a location mapper among one or more location mappers that contains an entry associated with the index using one or more mapper tables, and accessing data associated with the entry in the non-volatile memory using the location information. 14. The method of claim 13, wherein the query is one of a point query, a range query, an insert query, an update query, a delete query, and a modify query. 15. The method of claim 13, further comprising caching the table indexer tree and the one or more mapper tables in a memory of a memory controller. 16. The method of claim 15, further comprising dynamically loading subtrees of the table indexer tree in the memory of the memory controller. 17. The method of claim 13, further comprising storing the one or more location mappers in the non-volatile memory storage or caching the one or more location mappers to the memory of the memory controller. 18. The method of claim 13, further comprising splitting the location mapper and adding a new location mapper when the location mapper exceeds a predetermined size limit. 19. The method of claim 13, further comprising updating the table indexer tree and the one or more mapper tables after the entry is added, deleted, updated, or modified. | 2,100 |
5,824 | 5,824 | 14,987,511 | 2,177 | In some examples, a surface, such as a desktop, in front or around a portable electronic device may be used as a relatively large surface for interacting with the portable electronic device, which typically has a small display screen. A user may write or draw on the surface using any object such as a finger, pen, or stylus. The surface may also be used to simulate a partial or full size keyboard. The use of a camera to sense the three-dimensional (3D) location or motion of the object may enable use of above-the-surface gestures, entry of directionality, and capture of real objects into a document being processed or stored by the electronic device. One or more objects may be used to manipulate elements displayed by the portable electronic device. | 1. A system comprising:
a display operable by one or more processors; a camera configured to capture images of a region external to the display; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving an image from the camera, the image including a representation of a surface in the region and an object on or above the surface;
analyzing the image to determine a position and an orientation of the object relative to the surface;
determining a distance of at least a portion of the object above the surface;
comparing the image to at least one other image to determine whether the position and the orientation of the object corresponds to a gesture or a writing motion; and
driving the display to output one or more display elements based, at least in part, on whether at least one of the position and the orientation of the object corresponds to the gesture or the writing motion. 2. The system of claim 1, wherein the object is a first object, wherein the image further includes a representation of a second object, and wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
analyzing the image to determine a position and an orientation of the second object relative to at least one of the surface or the first object; comparing the image to the at least one other image to determine whether a combined position and orientation of the first object and the second object is a gesture or is a writing motion; and driving the display to output one or more display elements based, at least in part, on the combined position and orientation of the first object and the second object. 3. The system of claim 2, wherein the first object comprises a hand of a user and the second object comprises a stylus held by the hand of the user. 4. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
driving the display to output a radial menu based, at least in part, on to the gesture or the writing motion. 5. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
controlling a level of zoom of at least a portion of the display based, at least in part, on the distance of at least the portion of the object above the surface. 6. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
determining that the position and the orientation of the object is a writing motion if the distance of at least the portion of the object above the surface is zero. 7. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
comparing the image to the at least one other image to determine an amount of translation or rotation of the surface. 8. The system of claim 1, wherein the camera comprises a depth camera, wherein the image from the camera further includes depth data for the object, and wherein the one or more processors determine the position and the orientation of the object relative to the surface based, at least in part, on the depth data. 9. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
driving the display to output a representation of the object superimposed with the one or more display elements. 10. The system of claim 1, wherein the system comprises a handheld electronic display device. 11. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
identifying a texture or a material of the object by comparing the representation of the object in the image to a database of textures or materials. 12. A device comprising:
a display; a depth camera directed to a space in front of the display, wherein the space includes a surface; a processor to receive depth data captured by the depth camera, wherein the processor is configured to determine, from the depth data:
a types of an object in the space including the surface;
a distance of the object from the surface; and
at least one of an orientation or shape of the object;
and wherein the processor is further configured to determine a gesture or a writing motion performed by the object based, at least in part, on the type, distance, and orientation or shape of the object. 13. The device of claim 12, wherein the processor is further configured to:
compare the distance or the orientation of the object to a previously determined distance or orientation of the object to infer a direction of motion or a speed of the object; and determine a type of the gesture based, at least in part, on the direction of motion or a speed of the object. 14. The device of claim 12, further comprising one or more microphones, and wherein the processor is further configured to:
determine the gesture or the writing motion performed by the object based, at least in part, on audio signals from the one or more microphones. 15. The device of claim 12, wherein the processor is further configured to:
control a level of zoom of at least a portion of the display based, at least in part, on the distance of the object above the surface. 16. The device of claim 12, wherein the processor is further configured to:
display a representation of the object on the display, wherein the representation of the object is scaled based, at least in part, on the distances of the object above the surface. 17. A method comprising:
receiving three-dimensional (3D) image data of an object and of a surface from a camera; analyzing the 3D image data to determine a position and an orientation of the object relative to the surface; determining a distance of at least a portion of the object above the surface based, at least in part, on the position or the orientation; if the distance of at least the portion of the object above the surface is substantially zero, then:
tracking at least the portion of the object on the surface to determine a pattern followed by the portion of the object on the surface; and
outputting the pattern on a display; and
if the distance of at least the portion of the object above the surface is above a threshold value, then:
comparing the orientation of the object with a database of orientations and corresponding gestures to determine type of gesture performed by the object; and
performing an operation corresponding to the type of gesture performed by the object. 18. The method of claim 17, wherein performing the operation comprises:
controlling a menu on the display by the gesture performed by the object. 19. The method of claim 17, wherein performing the operation comprises:
displaying a representation of the object superimposed with one or more display elements of the display. 20. The method of claim 17, further comprising:
selecting a portion of the display to correspond to a reference portion of the surface; determining the position of the object relative to the reference portion of the surface; and outputting the object on a location of the display based, at least in part, on the position of the object relative to the reference portion. | In some examples, a surface, such as a desktop, in front or around a portable electronic device may be used as a relatively large surface for interacting with the portable electronic device, which typically has a small display screen. A user may write or draw on the surface using any object such as a finger, pen, or stylus. The surface may also be used to simulate a partial or full size keyboard. The use of a camera to sense the three-dimensional (3D) location or motion of the object may enable use of above-the-surface gestures, entry of directionality, and capture of real objects into a document being processed or stored by the electronic device. One or more objects may be used to manipulate elements displayed by the portable electronic device.1. A system comprising:
a display operable by one or more processors; a camera configured to capture images of a region external to the display; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving an image from the camera, the image including a representation of a surface in the region and an object on or above the surface;
analyzing the image to determine a position and an orientation of the object relative to the surface;
determining a distance of at least a portion of the object above the surface;
comparing the image to at least one other image to determine whether the position and the orientation of the object corresponds to a gesture or a writing motion; and
driving the display to output one or more display elements based, at least in part, on whether at least one of the position and the orientation of the object corresponds to the gesture or the writing motion. 2. The system of claim 1, wherein the object is a first object, wherein the image further includes a representation of a second object, and wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
analyzing the image to determine a position and an orientation of the second object relative to at least one of the surface or the first object; comparing the image to the at least one other image to determine whether a combined position and orientation of the first object and the second object is a gesture or is a writing motion; and driving the display to output one or more display elements based, at least in part, on the combined position and orientation of the first object and the second object. 3. The system of claim 2, wherein the first object comprises a hand of a user and the second object comprises a stylus held by the hand of the user. 4. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
driving the display to output a radial menu based, at least in part, on to the gesture or the writing motion. 5. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
controlling a level of zoom of at least a portion of the display based, at least in part, on the distance of at least the portion of the object above the surface. 6. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
determining that the position and the orientation of the object is a writing motion if the distance of at least the portion of the object above the surface is zero. 7. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
comparing the image to the at least one other image to determine an amount of translation or rotation of the surface. 8. The system of claim 1, wherein the camera comprises a depth camera, wherein the image from the camera further includes depth data for the object, and wherein the one or more processors determine the position and the orientation of the object relative to the surface based, at least in part, on the depth data. 9. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
driving the display to output a representation of the object superimposed with the one or more display elements. 10. The system of claim 1, wherein the system comprises a handheld electronic display device. 11. The system of claim 1, wherein the stored instructions, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
identifying a texture or a material of the object by comparing the representation of the object in the image to a database of textures or materials. 12. A device comprising:
a display; a depth camera directed to a space in front of the display, wherein the space includes a surface; a processor to receive depth data captured by the depth camera, wherein the processor is configured to determine, from the depth data:
a types of an object in the space including the surface;
a distance of the object from the surface; and
at least one of an orientation or shape of the object;
and wherein the processor is further configured to determine a gesture or a writing motion performed by the object based, at least in part, on the type, distance, and orientation or shape of the object. 13. The device of claim 12, wherein the processor is further configured to:
compare the distance or the orientation of the object to a previously determined distance or orientation of the object to infer a direction of motion or a speed of the object; and determine a type of the gesture based, at least in part, on the direction of motion or a speed of the object. 14. The device of claim 12, further comprising one or more microphones, and wherein the processor is further configured to:
determine the gesture or the writing motion performed by the object based, at least in part, on audio signals from the one or more microphones. 15. The device of claim 12, wherein the processor is further configured to:
control a level of zoom of at least a portion of the display based, at least in part, on the distance of the object above the surface. 16. The device of claim 12, wherein the processor is further configured to:
display a representation of the object on the display, wherein the representation of the object is scaled based, at least in part, on the distances of the object above the surface. 17. A method comprising:
receiving three-dimensional (3D) image data of an object and of a surface from a camera; analyzing the 3D image data to determine a position and an orientation of the object relative to the surface; determining a distance of at least a portion of the object above the surface based, at least in part, on the position or the orientation; if the distance of at least the portion of the object above the surface is substantially zero, then:
tracking at least the portion of the object on the surface to determine a pattern followed by the portion of the object on the surface; and
outputting the pattern on a display; and
if the distance of at least the portion of the object above the surface is above a threshold value, then:
comparing the orientation of the object with a database of orientations and corresponding gestures to determine type of gesture performed by the object; and
performing an operation corresponding to the type of gesture performed by the object. 18. The method of claim 17, wherein performing the operation comprises:
controlling a menu on the display by the gesture performed by the object. 19. The method of claim 17, wherein performing the operation comprises:
displaying a representation of the object superimposed with one or more display elements of the display. 20. The method of claim 17, further comprising:
selecting a portion of the display to correspond to a reference portion of the surface; determining the position of the object relative to the reference portion of the surface; and outputting the object on a location of the display based, at least in part, on the position of the object relative to the reference portion. | 2,100 |
5,825 | 5,825 | 15,213,754 | 2,136 | Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system, comparing the first cost and the second cost to provide a comparison result, determining a current location of the virtual memory page, the current location including one of the first memory type and the second memory type, and selectively migrating the virtual memory page from the current location based on the comparison result and the current location. | 1. A computer-implemented method executed by one or more processors, the method comprising:
determining, by the one or more processors, a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system; comparing, by the one or more processors, the first cost and the second cost to provide a comparison result; determining, by the one or more processors, a current location of the virtual memory page, the current location comprising one of the first memory type and the second memory type; and selectively migrating, by the one or more processors, the virtual memory page from the current location based on the comparison result and the current location. 2. The method of claim 1, wherein each of the first cost and the second cost is determined based on a read energy and a write energy expended for the virtual memory page with the respect to the first memory type and the second memory type, respectively. 3. The method of claim 1, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the second memory type to the first memory type in response to determining that the second cost exceeds the first cost, and that the virtual memory page is stored in the second memory type. 4. The method of claim 1, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the first memory type to the second memory type in response to determining that the second cost does not exceed the first cost, and that the virtual memory page is stored in the first memory type. 5. The method of claim 1, wherein migrating the virtual memory page comprises copying the virtual memory page from one of the first memory type and the second memory type to the other of the first memory type and the second memory type, and deleting the virtual memory page from the one of the first memory type and the second memory type. 6. The method of claim 1, wherein determining the first cost and the second cost is performed in response to the virtual memory page being accessed. 7. The method of claim 1, wherein the first memory type comprises dynamic random access memory (DRAM), and the second memory type comprises non-volatile memory (NVM). 8. A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system; comparing the first cost and the second cost to provide a comparison result; determining a current location of the virtual memory page, the current location comprising one of the first memory type and the second memory type; and selectively migrating the virtual memory page from the current location based on the comparison result and the current location. 9. The computer-readable storage medium of claim 8, wherein each of the first cost and the second cost is determined based on a read energy and a write energy expended for the virtual memory page with the respect to the first memory type and the second memory type, respectively. 10. The computer-readable storage medium of claim 8, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the second memory type to the first memory type in response to determining that the second cost exceeds the first cost, and that the virtual memory page is stored in the second memory type. 11. The computer-readable storage medium of claim 8, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the first memory type to the second memory type in response to determining that the second cost does not exceed the first cost, and that the virtual memory page is stored in the first memory type. 12. The computer-readable storage medium of claim 8, wherein migrating the virtual memory page comprises copying the virtual memory page from one of the first memory type and the second memory type to the other of the first memory type and the second memory type, and deleting the virtual memory page from the one of the first memory type and the second memory type. 13. The computer-readable storage medium of claim 8, wherein determining the first cost and the second cost is performed in response to the virtual memory page being accessed. 14. The computer-readable storage medium of claim 8, wherein the first memory type comprises dynamic random access memory (DRAM), and the second memory type comprises non-volatile memory (NVM). 15. A system, comprising:
a computing device; and a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising:
determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system;
comparing the first cost and the second cost to provide a comparison result;
determining a current location of the virtual memory page, the current location comprising one of the first memory type and the second memory type; and
selectively migrating the virtual memory page from the current location based on the comparison result and the current location. 16. The system of claim 15, wherein each of the first cost and the second cost is determined based on a read energy and a write energy expended for the virtual memory page with the respect to the first memory type and the second memory type, respectively. 17. The system of claim 15, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the second memory type to the first memory type in response to determining that the second cost exceeds the first cost, and that the virtual memory page is stored in the second memory type. 18. The system of claim 15, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the first memory type to the second memory type in response to determining that the second cost does not exceed the first cost, and that the virtual memory page is stored in the first memory type. 19. The system of claim 15, wherein migrating the virtual memory page comprises copying the virtual memory page from one of the first memory type and the second memory type to the other of the first memory type and the second memory type, and deleting the virtual memory page from the one of the first memory type and the second memory type. 20. The system of claim 15, wherein determining the first cost and the second cost is performed in response to the virtual memory page being accessed. | Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system, comparing the first cost and the second cost to provide a comparison result, determining a current location of the virtual memory page, the current location including one of the first memory type and the second memory type, and selectively migrating the virtual memory page from the current location based on the comparison result and the current location.1. A computer-implemented method executed by one or more processors, the method comprising:
determining, by the one or more processors, a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system; comparing, by the one or more processors, the first cost and the second cost to provide a comparison result; determining, by the one or more processors, a current location of the virtual memory page, the current location comprising one of the first memory type and the second memory type; and selectively migrating, by the one or more processors, the virtual memory page from the current location based on the comparison result and the current location. 2. The method of claim 1, wherein each of the first cost and the second cost is determined based on a read energy and a write energy expended for the virtual memory page with the respect to the first memory type and the second memory type, respectively. 3. The method of claim 1, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the second memory type to the first memory type in response to determining that the second cost exceeds the first cost, and that the virtual memory page is stored in the second memory type. 4. The method of claim 1, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the first memory type to the second memory type in response to determining that the second cost does not exceed the first cost, and that the virtual memory page is stored in the first memory type. 5. The method of claim 1, wherein migrating the virtual memory page comprises copying the virtual memory page from one of the first memory type and the second memory type to the other of the first memory type and the second memory type, and deleting the virtual memory page from the one of the first memory type and the second memory type. 6. The method of claim 1, wherein determining the first cost and the second cost is performed in response to the virtual memory page being accessed. 7. The method of claim 1, wherein the first memory type comprises dynamic random access memory (DRAM), and the second memory type comprises non-volatile memory (NVM). 8. A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system; comparing the first cost and the second cost to provide a comparison result; determining a current location of the virtual memory page, the current location comprising one of the first memory type and the second memory type; and selectively migrating the virtual memory page from the current location based on the comparison result and the current location. 9. The computer-readable storage medium of claim 8, wherein each of the first cost and the second cost is determined based on a read energy and a write energy expended for the virtual memory page with the respect to the first memory type and the second memory type, respectively. 10. The computer-readable storage medium of claim 8, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the second memory type to the first memory type in response to determining that the second cost exceeds the first cost, and that the virtual memory page is stored in the second memory type. 11. The computer-readable storage medium of claim 8, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the first memory type to the second memory type in response to determining that the second cost does not exceed the first cost, and that the virtual memory page is stored in the first memory type. 12. The computer-readable storage medium of claim 8, wherein migrating the virtual memory page comprises copying the virtual memory page from one of the first memory type and the second memory type to the other of the first memory type and the second memory type, and deleting the virtual memory page from the one of the first memory type and the second memory type. 13. The computer-readable storage medium of claim 8, wherein determining the first cost and the second cost is performed in response to the virtual memory page being accessed. 14. The computer-readable storage medium of claim 8, wherein the first memory type comprises dynamic random access memory (DRAM), and the second memory type comprises non-volatile memory (NVM). 15. A system, comprising:
a computing device; and a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising:
determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system;
comparing the first cost and the second cost to provide a comparison result;
determining a current location of the virtual memory page, the current location comprising one of the first memory type and the second memory type; and
selectively migrating the virtual memory page from the current location based on the comparison result and the current location. 16. The system of claim 15, wherein each of the first cost and the second cost is determined based on a read energy and a write energy expended for the virtual memory page with the respect to the first memory type and the second memory type, respectively. 17. The system of claim 15, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the second memory type to the first memory type in response to determining that the second cost exceeds the first cost, and that the virtual memory page is stored in the second memory type. 18. The system of claim 15, wherein selectively migrating the virtual memory page comprises migrating the virtual memory page from the first memory type to the second memory type in response to determining that the second cost does not exceed the first cost, and that the virtual memory page is stored in the first memory type. 19. The system of claim 15, wherein migrating the virtual memory page comprises copying the virtual memory page from one of the first memory type and the second memory type to the other of the first memory type and the second memory type, and deleting the virtual memory page from the one of the first memory type and the second memory type. 20. The system of claim 15, wherein determining the first cost and the second cost is performed in response to the virtual memory page being accessed. | 2,100 |
5,826 | 5,826 | 14,600,268 | 2,164 | A method, system, and phonetic search engine are described that enable phonetic searches to have increased relevancy to the searcher. Specifically, phonetic searches on a database containing phonetically-searchable content can have one or more phonetically-confusable terms excluded from search results, thereby leaving search results that more faithfully reflect the search terms used during the phonetic search of the database. | 1. A phonetic search engine, comprising:
a requestor interface configured to receive one or more search terms for a phonetic search to be performed on a database containing phonetically-searchable content; a database operator module configured to format a database query that includes at least some of the one or more search terms received at the requestor interface; and a phonetic analysis module configured to perform at least one of the following to exclude phonetically-confusable terms associated with the one or more search terms from search results provided to a user: (i) modify the database query prior to the database query being sent to the database and (ii) modify original search results received from the database to obtain reduced search results. 2. The phonetic search engine of claim 1, wherein the phonetic analysis module modifies the database query prior to the database query being sent to the database. 3. The phonetic search engine of claim 2, wherein the database query comprises a “BUT NOT” operator associated with the phonetically-confusable terms. 4. The phonetic search engine of claim 1, wherein the phonetic analysis module modifies the original search results received from the database. 5. The phonetic search engine of claim 4, wherein the phonetic analysis module identifies results to remove from the original search results by performing the following:
determining a first phonetic distance between a result and a search term in the one or more search terms; determining a second phonetic distance between the result and a phonetically-confusable term associated with the search term; and based on a comparison of the first and second phonetic distances, determining whether the result is to be included or excluded from the reduced search results. 6. The phonetic search engine of claim 5, wherein results having their second phonetic distance less than their first phonetic distance are excluded from the reduced search results. 7. The phonetic search engine of claim 4, wherein the phonetic analysis module identifies results to remove from the original search results by performing the following:
determining a search result area for a search term in the one or more search terms; determining an unwanted search result area for a phonetically-confusable term associated with the search term; and excluding search results found in both the search result area and the unwanted search result area from the reduced search results. 8. The phonetic search engine of claim 1, wherein the phonetically-confusable terms associated with the one or more search terms are removed from the search results provided to the user in a set of ordered search results that are prioritized based on phonetic distance from each result and the one or more search terms. 9. The phonetic search engine of claim 1, wherein the phonetically-searchable content comprises at least one of audio and video content from a communication session between two or more session participants. 10. A system, comprising:
one or more servers configured to provide an interface between a user communication device and a database that contains phonetically-searchable content, the one or more servers including a search engine that is configured to receive on more search terms for a phonetic search to be performed on the database and a phonetic analysis module configured to exclude phonetically-confusable terms associated with the one or more search terms from search results provided to the user communication device by at least one of: (i) modifying a database query prior to the database query being sent to the database and (ii) modifying original search results received from the database to obtain reduced search results that are provided to the user communication device. 11. The system of claim 10, wherein the phonetic analysis module modifies the database query prior to the database query being sent to the database. 12. The system of claim 11, wherein the database query comprises a “BUT NOT” operator associated with the phonetically-confusable terms. 13. The system of claim 10, wherein the phonetic analysis module modifies the original search results received from the database. 14. The system of claim 13, wherein the phonetic analysis module identifies results to remove from the original search results by performing the following:
determining a first phonetic distance between a result and a search term in the one or more search terms; determining a second phonetic distance between the result and a phonetically-confusable term associated with the search term; and based on a comparison of the first and second phonetic distances, determining whether the result is to be included or excluded from the reduced search results. 15. The system of claim 14, wherein results having their second phonetic distance less than their first phonetic distance are excluded from the reduced search results. 16. The system of claim 10, wherein the phonetically-searchable content comprises at least one of audio and video content from a communication session between two or more session participants. 17. A method of performing phonetic searches, the method comprising:
receiving one or more search terms for a phonetic search to be performed on a database containing phonetically-searchable content; formatting a database query that includes at least some of the received one or more search terms; and performing at least one of the following to exclude phonetically-confusable terms associated with the one or more search terms from search results provided to a user:
(i) modifying the database query prior to the database query being sent to the database; and
(ii) modifying original search results received from the database to obtain reduced search results. 18. The method of claim 17, further comprising:
including a “BUT NOT” operator associated with the phonetically-confusable terms in the database query. 19. The method of claim 17, further comprising:
determining a first phonetic distance between a result and a search term in the one or more search terms; determining a second phonetic distance between the result and a phonetically-confusable term associated with the search term; and based on a comparison of the first and second phonetic distances, determining whether the result is to be included or excluded from the reduced search results. 20. The method of claim 17, wherein the phonetically-searchable content comprises at least one of audio and video content from a communication session between two or more session participants. | A method, system, and phonetic search engine are described that enable phonetic searches to have increased relevancy to the searcher. Specifically, phonetic searches on a database containing phonetically-searchable content can have one or more phonetically-confusable terms excluded from search results, thereby leaving search results that more faithfully reflect the search terms used during the phonetic search of the database.1. A phonetic search engine, comprising:
a requestor interface configured to receive one or more search terms for a phonetic search to be performed on a database containing phonetically-searchable content; a database operator module configured to format a database query that includes at least some of the one or more search terms received at the requestor interface; and a phonetic analysis module configured to perform at least one of the following to exclude phonetically-confusable terms associated with the one or more search terms from search results provided to a user: (i) modify the database query prior to the database query being sent to the database and (ii) modify original search results received from the database to obtain reduced search results. 2. The phonetic search engine of claim 1, wherein the phonetic analysis module modifies the database query prior to the database query being sent to the database. 3. The phonetic search engine of claim 2, wherein the database query comprises a “BUT NOT” operator associated with the phonetically-confusable terms. 4. The phonetic search engine of claim 1, wherein the phonetic analysis module modifies the original search results received from the database. 5. The phonetic search engine of claim 4, wherein the phonetic analysis module identifies results to remove from the original search results by performing the following:
determining a first phonetic distance between a result and a search term in the one or more search terms; determining a second phonetic distance between the result and a phonetically-confusable term associated with the search term; and based on a comparison of the first and second phonetic distances, determining whether the result is to be included or excluded from the reduced search results. 6. The phonetic search engine of claim 5, wherein results having their second phonetic distance less than their first phonetic distance are excluded from the reduced search results. 7. The phonetic search engine of claim 4, wherein the phonetic analysis module identifies results to remove from the original search results by performing the following:
determining a search result area for a search term in the one or more search terms; determining an unwanted search result area for a phonetically-confusable term associated with the search term; and excluding search results found in both the search result area and the unwanted search result area from the reduced search results. 8. The phonetic search engine of claim 1, wherein the phonetically-confusable terms associated with the one or more search terms are removed from the search results provided to the user in a set of ordered search results that are prioritized based on phonetic distance from each result and the one or more search terms. 9. The phonetic search engine of claim 1, wherein the phonetically-searchable content comprises at least one of audio and video content from a communication session between two or more session participants. 10. A system, comprising:
one or more servers configured to provide an interface between a user communication device and a database that contains phonetically-searchable content, the one or more servers including a search engine that is configured to receive on more search terms for a phonetic search to be performed on the database and a phonetic analysis module configured to exclude phonetically-confusable terms associated with the one or more search terms from search results provided to the user communication device by at least one of: (i) modifying a database query prior to the database query being sent to the database and (ii) modifying original search results received from the database to obtain reduced search results that are provided to the user communication device. 11. The system of claim 10, wherein the phonetic analysis module modifies the database query prior to the database query being sent to the database. 12. The system of claim 11, wherein the database query comprises a “BUT NOT” operator associated with the phonetically-confusable terms. 13. The system of claim 10, wherein the phonetic analysis module modifies the original search results received from the database. 14. The system of claim 13, wherein the phonetic analysis module identifies results to remove from the original search results by performing the following:
determining a first phonetic distance between a result and a search term in the one or more search terms; determining a second phonetic distance between the result and a phonetically-confusable term associated with the search term; and based on a comparison of the first and second phonetic distances, determining whether the result is to be included or excluded from the reduced search results. 15. The system of claim 14, wherein results having their second phonetic distance less than their first phonetic distance are excluded from the reduced search results. 16. The system of claim 10, wherein the phonetically-searchable content comprises at least one of audio and video content from a communication session between two or more session participants. 17. A method of performing phonetic searches, the method comprising:
receiving one or more search terms for a phonetic search to be performed on a database containing phonetically-searchable content; formatting a database query that includes at least some of the received one or more search terms; and performing at least one of the following to exclude phonetically-confusable terms associated with the one or more search terms from search results provided to a user:
(i) modifying the database query prior to the database query being sent to the database; and
(ii) modifying original search results received from the database to obtain reduced search results. 18. The method of claim 17, further comprising:
including a “BUT NOT” operator associated with the phonetically-confusable terms in the database query. 19. The method of claim 17, further comprising:
determining a first phonetic distance between a result and a search term in the one or more search terms; determining a second phonetic distance between the result and a phonetically-confusable term associated with the search term; and based on a comparison of the first and second phonetic distances, determining whether the result is to be included or excluded from the reduced search results. 20. The method of claim 17, wherein the phonetically-searchable content comprises at least one of audio and video content from a communication session between two or more session participants. | 2,100 |
5,827 | 5,827 | 15,160,938 | 2,163 | Using an action registry to match applications for editing data is described. In one or more implementations, a user editing data in an application requests to be presented other applications that are also capable of editing the type of data. Based on this, a query is generated that requests the other applications from an action registry. The action registry maintains information describing the types of data different applications are capable of editing. With the maintained information, the action registry can determine which applications registered therewith are capable of performing actions on the type of data. At least some of these applications are included in a query answer from the action registry. The answer is usable to present the user a list of applications that are capable of also editing the type of data being edited in the application and are selectable from the list to perform further editing. | 1. A method implemented by a computing device to match applications for editing content, the method comprising:
responsive to an input requesting an identification of applications that are capable of editing a type of content being presented for editing in a first application, generating a query that requests identification of the applications from an action registry that is configured to maintain information indicating types of content different applications are capable of editing; receiving an answer from the action registry that includes a list of the applications capable of editing the type of content based on the maintained information; presenting one or more application indications that correspond to applications listed in the answer; and responsive to selection of a presented application indication, automatically launching the selected application to edit the content presented in the first application, including presenting the content via an editing interface of the selected application. 2. A method as described in claim 1, further comprising receiving the input requesting the identification of applications via an interface of the first application. 3. A method as described in claim 1, further comprising returning to the first application after at least one edit is made to the content using the selected application and automatically presenting the content in an editing interface of the first application with the at least one edit having been made. 4. A method as described in claim 3, further comprising returning to the first application responsive to receiving an input via the selected application to save the at least one edit and return to the first application. 5. A method as described in claim 3, further comprising receiving an editing input from the user via the first application to make at least one further edit to the content having the at least one edit from the selected application. 6. A method as described in claim 1, further comprising presenting the one or more application indications with descriptions of editing actions the applications are capable of performing on the type of content. 7. A method as described in claim 1, further comprising generating a request message for communication from the first application to the selected application to enable editing of the content by the selected application, the request message including the content. 8. A method as described in claim 7, wherein the request message includes an indication of an action the selected application is selected to perform on the content, the indication of the action enabling the selected application to present the content via an interface that supports the indicated action. 9. A method as described in claim 1, further comprising generating a response message for communication from the selected application to the first application to return the content to the first application and enable automatic presentation of the content in the first application with edits made in the second application. 10. A method as described in claim 9, wherein the response message includes an indication of an action the selected application is selected to perform on the content. 11. A method implemented by a computing device to match applications for editing data, the method comprising:
maintaining information, by an action registry, that describes actions that applications registered with the action registry are capable of performing on different types of data; responsive to receiving a query that requests applications capable of performing actions on a particular type of data, determining which of the registered applications are capable of performing the actions on the particular type of data based on the maintained information; and generating a query answer that includes a list of the determined applications, the query answer enabling a computing device to provide a presentation from which a user can select an application and launch the selected application to edit the particular type of data. 12. A method as described in claim 11, further comprising obtaining the information that describes the actions an application is capable of performing on a type of data to register the application with the action registry. 13. A method as described in claim 11, wherein the information maintained is specified by a schema that defines the information used to register the applications with the action registry. 14. A method as described in claim 13, wherein the information defined by the schema includes at least an application identifier, an indication of one or more of the different types of data on which the identified application is capable of performing actions, and an action type identifier that identifies one or more of the actions the identified application is capable of performing on the indicated types of data. 15. A method as described in claim 14, wherein the information defined by the schema further includes an indication of one or more of the different types of data the application is capable of outputting when the identified actions are performed. 16. A method as described in claim 14, wherein the determining includes matching the particular type of data from the received query to the registered applications for which the indicated types of data include the particular type data. 17. A system to match secondary applications for editing data that is presented for editing in a primary application, the system comprising:
one or more processors; and computer-readable storage media having stored thereon instructions that are executable by the one or more processors to implement an action registry to:
obtain information about editing capabilities of a plurality of applications for registration with the action registry, the obtained information indicating different types of data the plurality of applications is capable of editing;
maintain the obtained information in the action registry, the maintained information being useable to answer queries from a primary application that requests an indication of secondary applications capable of editing a particular type of data; and
using the information maintained in the action registry to answer queries from a primary application that requests an indication of the secondary applications capable of editing the particular type of data to provide a displayable list of user-selectable applications that are selectable to launch the selected application and edit the particular type of data. 18. A system as described in claim 17, wherein the action registry is implemented by a service provider and the queries are received by the service provider from remote computing devices. 19. A system as described in claim 17, wherein the action registry is a copy of a published action registry implemented by a service provider and is local to a computing device that generates the queries. 20. A system as described in claim 19, wherein the action registry is updated with updates communicated from the published action registry. | Using an action registry to match applications for editing data is described. In one or more implementations, a user editing data in an application requests to be presented other applications that are also capable of editing the type of data. Based on this, a query is generated that requests the other applications from an action registry. The action registry maintains information describing the types of data different applications are capable of editing. With the maintained information, the action registry can determine which applications registered therewith are capable of performing actions on the type of data. At least some of these applications are included in a query answer from the action registry. The answer is usable to present the user a list of applications that are capable of also editing the type of data being edited in the application and are selectable from the list to perform further editing.1. A method implemented by a computing device to match applications for editing content, the method comprising:
responsive to an input requesting an identification of applications that are capable of editing a type of content being presented for editing in a first application, generating a query that requests identification of the applications from an action registry that is configured to maintain information indicating types of content different applications are capable of editing; receiving an answer from the action registry that includes a list of the applications capable of editing the type of content based on the maintained information; presenting one or more application indications that correspond to applications listed in the answer; and responsive to selection of a presented application indication, automatically launching the selected application to edit the content presented in the first application, including presenting the content via an editing interface of the selected application. 2. A method as described in claim 1, further comprising receiving the input requesting the identification of applications via an interface of the first application. 3. A method as described in claim 1, further comprising returning to the first application after at least one edit is made to the content using the selected application and automatically presenting the content in an editing interface of the first application with the at least one edit having been made. 4. A method as described in claim 3, further comprising returning to the first application responsive to receiving an input via the selected application to save the at least one edit and return to the first application. 5. A method as described in claim 3, further comprising receiving an editing input from the user via the first application to make at least one further edit to the content having the at least one edit from the selected application. 6. A method as described in claim 1, further comprising presenting the one or more application indications with descriptions of editing actions the applications are capable of performing on the type of content. 7. A method as described in claim 1, further comprising generating a request message for communication from the first application to the selected application to enable editing of the content by the selected application, the request message including the content. 8. A method as described in claim 7, wherein the request message includes an indication of an action the selected application is selected to perform on the content, the indication of the action enabling the selected application to present the content via an interface that supports the indicated action. 9. A method as described in claim 1, further comprising generating a response message for communication from the selected application to the first application to return the content to the first application and enable automatic presentation of the content in the first application with edits made in the second application. 10. A method as described in claim 9, wherein the response message includes an indication of an action the selected application is selected to perform on the content. 11. A method implemented by a computing device to match applications for editing data, the method comprising:
maintaining information, by an action registry, that describes actions that applications registered with the action registry are capable of performing on different types of data; responsive to receiving a query that requests applications capable of performing actions on a particular type of data, determining which of the registered applications are capable of performing the actions on the particular type of data based on the maintained information; and generating a query answer that includes a list of the determined applications, the query answer enabling a computing device to provide a presentation from which a user can select an application and launch the selected application to edit the particular type of data. 12. A method as described in claim 11, further comprising obtaining the information that describes the actions an application is capable of performing on a type of data to register the application with the action registry. 13. A method as described in claim 11, wherein the information maintained is specified by a schema that defines the information used to register the applications with the action registry. 14. A method as described in claim 13, wherein the information defined by the schema includes at least an application identifier, an indication of one or more of the different types of data on which the identified application is capable of performing actions, and an action type identifier that identifies one or more of the actions the identified application is capable of performing on the indicated types of data. 15. A method as described in claim 14, wherein the information defined by the schema further includes an indication of one or more of the different types of data the application is capable of outputting when the identified actions are performed. 16. A method as described in claim 14, wherein the determining includes matching the particular type of data from the received query to the registered applications for which the indicated types of data include the particular type data. 17. A system to match secondary applications for editing data that is presented for editing in a primary application, the system comprising:
one or more processors; and computer-readable storage media having stored thereon instructions that are executable by the one or more processors to implement an action registry to:
obtain information about editing capabilities of a plurality of applications for registration with the action registry, the obtained information indicating different types of data the plurality of applications is capable of editing;
maintain the obtained information in the action registry, the maintained information being useable to answer queries from a primary application that requests an indication of secondary applications capable of editing a particular type of data; and
using the information maintained in the action registry to answer queries from a primary application that requests an indication of the secondary applications capable of editing the particular type of data to provide a displayable list of user-selectable applications that are selectable to launch the selected application and edit the particular type of data. 18. A system as described in claim 17, wherein the action registry is implemented by a service provider and the queries are received by the service provider from remote computing devices. 19. A system as described in claim 17, wherein the action registry is a copy of a published action registry implemented by a service provider and is local to a computing device that generates the queries. 20. A system as described in claim 19, wherein the action registry is updated with updates communicated from the published action registry. | 2,100 |
5,828 | 5,828 | 14,558,375 | 2,154 | A method of determining and optimizing the location of a new insurance agency is disclosed to increase market penetration of underrepresented markets. The method comprises the use of a scoring algorithm to rank various geographic regions or related zip codes. The scoring algorithm may be implemented by a location modeling system based on variables selected by a user. | 1. A method of determining an insurance agency location, the method comprising:
(a) receiving at least two zip codes to be evaluated for placement of the insurance agency location; (b) receiving at least one modeling factor to be utilized in the determination of the insurance agency location; (c) calculating a final score for each of the at least two zip codes; and (d) comparing the final scores for each of the at least two zip codes. 2. The method of claim 1, further including:
(e) displaying the final scores for each of the at least two zip codes on a map. 3. The method of claim 2, wherein the map includes street level information. 4. The method of claim 1, wherein step (c) further comprises the steps of:
(i) calculating a composite score for each of the at least two zip codes; and (ii) calculating the final score for each of the at least two zip codes based on the equation
Composite
Score
-
μ
σ
=
Final
Score
,
wherein μ represents the mean and σ represents the standard deviation of the composite score for each of the at least two zip codes. 5. The method of claim 4, wherein the composite score comprises a weighted composite score. 6. The method of claim 1, wherein the at least one modeling factor includes total and net change in households in current year and last five years. 7. The method of claim 1, wherein the at least one modeling factor includes number of new homeowners and new movers. 8. The method of claim 1, wherein the at least one modeling factor includes percentage of population age at least twenty-five years and having some college education. 9. The method of claim 1, wherein the at least one modeling factor includes percentage of households with length of residency of less than one year. 10. The method of claim 1, wherein the at least one modeling factor includes total number of agency customer households. 11. The method of claim 1, wherein the at least one modeling factor includes total number of new businesses. 12. The method of claim 1, wherein the at least one modeling factor includes agency customer household life time value. 13. The method of claim 1, wherein the at least one modeling factor includes households with two or more vehicles. 14. The method of claim 1, wherein the at least one modeling factor includes owner occupied dwelling. 15. The method of claim 1, wherein the at least one modeling factor comprises average household income and average household net worth. 16. A method of determining an insurance agency location, the method comprising:
(a) receiving from a user at least one geographic region to be evaluated for placement of the insurance agency location; (b) based on the received at least one geographic region received in step (a), determining related zip codes to be evaluated; (c) receiving from the user modeling factors to be utilized in the determination of the insurance agency location; (d) calculating at a processor a final score for each of the zip codes determined in step (b); and (e) comparing the final scores for each of the zip codes to determine the zip code with the highest final score. 17. The method of claim 16, further including:
(f) displaying the final scores for each of the zip codes on a map. 18. A method of determining an insurance agency location, the method comprising:
(a) receiving a geographical region to be evaluated for placement of the insurance agency location; (b) determining zip codes associated with the received geographical region; (c) gathering data associated with the determined zip codes; (d) selecting a template having various modeling factors to be utilized in the determination of the insurance agency location; (e) calculating a final score for each of the zip codes determined in step (b); and (f) comparing the final scores for each of the zip codes. 19. The method of claim 18, wherein step (e) further comprises the steps of:
(i) calculating a variable score; (ii) calculating a composite score; and (ii) calculating the final score for each zip code based on the equation
Composite
Score
-
μ
σ
=
Final
Score
,
wherein μ represents the mean and σ represents the standard deviation of the composite score for each of the zip codes. 20. The method of claim 19, wherein the composite score comprises a weighted composite score. | A method of determining and optimizing the location of a new insurance agency is disclosed to increase market penetration of underrepresented markets. The method comprises the use of a scoring algorithm to rank various geographic regions or related zip codes. The scoring algorithm may be implemented by a location modeling system based on variables selected by a user.1. A method of determining an insurance agency location, the method comprising:
(a) receiving at least two zip codes to be evaluated for placement of the insurance agency location; (b) receiving at least one modeling factor to be utilized in the determination of the insurance agency location; (c) calculating a final score for each of the at least two zip codes; and (d) comparing the final scores for each of the at least two zip codes. 2. The method of claim 1, further including:
(e) displaying the final scores for each of the at least two zip codes on a map. 3. The method of claim 2, wherein the map includes street level information. 4. The method of claim 1, wherein step (c) further comprises the steps of:
(i) calculating a composite score for each of the at least two zip codes; and (ii) calculating the final score for each of the at least two zip codes based on the equation
Composite
Score
-
μ
σ
=
Final
Score
,
wherein μ represents the mean and σ represents the standard deviation of the composite score for each of the at least two zip codes. 5. The method of claim 4, wherein the composite score comprises a weighted composite score. 6. The method of claim 1, wherein the at least one modeling factor includes total and net change in households in current year and last five years. 7. The method of claim 1, wherein the at least one modeling factor includes number of new homeowners and new movers. 8. The method of claim 1, wherein the at least one modeling factor includes percentage of population age at least twenty-five years and having some college education. 9. The method of claim 1, wherein the at least one modeling factor includes percentage of households with length of residency of less than one year. 10. The method of claim 1, wherein the at least one modeling factor includes total number of agency customer households. 11. The method of claim 1, wherein the at least one modeling factor includes total number of new businesses. 12. The method of claim 1, wherein the at least one modeling factor includes agency customer household life time value. 13. The method of claim 1, wherein the at least one modeling factor includes households with two or more vehicles. 14. The method of claim 1, wherein the at least one modeling factor includes owner occupied dwelling. 15. The method of claim 1, wherein the at least one modeling factor comprises average household income and average household net worth. 16. A method of determining an insurance agency location, the method comprising:
(a) receiving from a user at least one geographic region to be evaluated for placement of the insurance agency location; (b) based on the received at least one geographic region received in step (a), determining related zip codes to be evaluated; (c) receiving from the user modeling factors to be utilized in the determination of the insurance agency location; (d) calculating at a processor a final score for each of the zip codes determined in step (b); and (e) comparing the final scores for each of the zip codes to determine the zip code with the highest final score. 17. The method of claim 16, further including:
(f) displaying the final scores for each of the zip codes on a map. 18. A method of determining an insurance agency location, the method comprising:
(a) receiving a geographical region to be evaluated for placement of the insurance agency location; (b) determining zip codes associated with the received geographical region; (c) gathering data associated with the determined zip codes; (d) selecting a template having various modeling factors to be utilized in the determination of the insurance agency location; (e) calculating a final score for each of the zip codes determined in step (b); and (f) comparing the final scores for each of the zip codes. 19. The method of claim 18, wherein step (e) further comprises the steps of:
(i) calculating a variable score; (ii) calculating a composite score; and (ii) calculating the final score for each zip code based on the equation
Composite
Score
-
μ
σ
=
Final
Score
,
wherein μ represents the mean and σ represents the standard deviation of the composite score for each of the zip codes. 20. The method of claim 19, wherein the composite score comprises a weighted composite score. | 2,100 |
5,829 | 5,829 | 14,734,498 | 2,126 | A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. | 1. A computer-implementable method for providing composite cognitive insights comprising:
receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. 2. The method of claim 1, wherein:
the set of cognitive media content further comprises at least one of a cognitive media content element, a non-commercial content element and a cognitive advertising content element. 3. The method of claim 1, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight; and, the set of cognitive media content comprises content related to the contextually-relevant insight. 4. The method of claim 1, further comprising:
referencing a cognitive persona when generating the composite cognitive insight. 5. The method of claim 1, further comprising:
annotating the commercial offer content element to indicate an association with another of the set of cognitive media content. 6. The method of claim 1, wherein:
the set of cognitive media content are presented via a cognitive insight summary; and, the commercial offer content element is presented more prominently than at least some other elements of the set of cognitive media content presented via the cognitive insight summary. | A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element.1. A computer-implementable method for providing composite cognitive insights comprising:
receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. 2. The method of claim 1, wherein:
the set of cognitive media content further comprises at least one of a cognitive media content element, a non-commercial content element and a cognitive advertising content element. 3. The method of claim 1, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight; and, the set of cognitive media content comprises content related to the contextually-relevant insight. 4. The method of claim 1, further comprising:
referencing a cognitive persona when generating the composite cognitive insight. 5. The method of claim 1, further comprising:
annotating the commercial offer content element to indicate an association with another of the set of cognitive media content. 6. The method of claim 1, wherein:
the set of cognitive media content are presented via a cognitive insight summary; and, the commercial offer content element is presented more prominently than at least some other elements of the set of cognitive media content presented via the cognitive insight summary. | 2,100 |
5,830 | 5,830 | 14,734,495 | 2,126 | A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. | 1. A system comprising:
a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving streams of data from a plurality of data sources;
processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph;
processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights;
generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and,
providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. 2. The system of claim 1, wherein:
the set of cognitive media content further comprises at least one of a cognitive media content element, a non-commercial content element and a cognitive advertising content element. 3. The system of claim 1, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight; and, the set of cognitive media content comprises content related to the contextually-relevant insight. 4. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
referencing a cognitive persona when generating the composite cognitive insight. 5. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
annotating the commercial offer content element to indicate an association with another of the set of cognitive media content. 6. The system of claim 1, wherein:
the set of cognitive media content are presented via a cognitive insight summary; and, the commercial offer content element is presented more prominently than at least some other elements of the set of cognitive media content presented via the cognitive insight summary. 7. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. 8. The non-transitory, computer-readable storage medium of claim 7, wherein:
the set of cognitive media content further comprises at least one of a cognitive media content element, a non-commercial content element and a cognitive advertising content element. 9. The non-transitory, computer-readable storage medium of claim 7, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight; and, the set of cognitive media content comprises content related to the contextually-relevant insight. 10. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
referencing a cognitive persona when generating the composite cognitive insight. 11. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
annotating the commercial offer content element to indicate an association with another of the set of cognitive media content. 12. The non-transitory, computer-readable storage medium of claim 7, wherein
the set of cognitive media content are presented via a cognitive insight summary; and, the commercial offer content element is presented more prominently than at least some other elements of the set of cognitive media content presented via the cognitive insight summary. 13. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are deployable to a client system from a server system at a remote location. 14. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis. | A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element.1. A system comprising:
a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving streams of data from a plurality of data sources;
processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph;
processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights;
generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and,
providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. 2. The system of claim 1, wherein:
the set of cognitive media content further comprises at least one of a cognitive media content element, a non-commercial content element and a cognitive advertising content element. 3. The system of claim 1, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight; and, the set of cognitive media content comprises content related to the contextually-relevant insight. 4. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
referencing a cognitive persona when generating the composite cognitive insight. 5. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
annotating the commercial offer content element to indicate an association with another of the set of cognitive media content. 6. The system of claim 1, wherein:
the set of cognitive media content are presented via a cognitive insight summary; and, the commercial offer content element is presented more prominently than at least some other elements of the set of cognitive media content presented via the cognitive insight summary. 7. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content, the set of cognitive media content comprising a commercial offer content element. 8. The non-transitory, computer-readable storage medium of claim 7, wherein:
the set of cognitive media content further comprises at least one of a cognitive media content element, a non-commercial content element and a cognitive advertising content element. 9. The non-transitory, computer-readable storage medium of claim 7, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight; and, the set of cognitive media content comprises content related to the contextually-relevant insight. 10. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
referencing a cognitive persona when generating the composite cognitive insight. 11. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
annotating the commercial offer content element to indicate an association with another of the set of cognitive media content. 12. The non-transitory, computer-readable storage medium of claim 7, wherein
the set of cognitive media content are presented via a cognitive insight summary; and, the commercial offer content element is presented more prominently than at least some other elements of the set of cognitive media content presented via the cognitive insight summary. 13. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are deployable to a client system from a server system at a remote location. 14. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis. | 2,100 |
5,831 | 5,831 | 13,915,285 | 2,173 | The present disclosure shows creating a first layer and a second layer, in computer memory and substantially overlapping at least a segment of line from said first layer with at least a segment of another line from said second layer. A first non-dimensional attribute is different from said second non-dimensional attribute of the two lines. A user length field enabling a client with said interactive file to override at least one of said length numeric values, where said area operator may automatically recalculate area based on said length field override is shown. Also, providing a visual marker that is moveable on said computer monitor around said aerial imagery region, which may be moved, to more precisely identify the location of the building roof structure is shown. | 1. A process for determining attributes of real-world three-dimensional buildings, comprising the acts of:
providing at least one computer input field for a user to input first location data generally corresponding to a location of a first building of the real-world three-dimensional buildings; providing visual access to an image of a region including a roof structure of the first building corresponding to the first location data; on the image of the region, providing a first visual marker that is moveable on a computer monitor around the region, the first visual marker initially corresponding to the first location data, wherein the first visual marker may be moved to a final first location on top of the first building to more precisely identify the location of the first building, the final first location having first location coordinates; on the image of the region, providing a second visual marker that is moveable on the computer monitor around the region, wherein the second marker may be moved to a final second location on top of a second building of the real-world three-dimensional buildings in the image, the final second location having second location coordinates; providing a computer input capable of signaling user-acceptance of the first and second final locations of the first and second markers; and, providing visual access to one or more images of an aerial imagery database corresponding to location coordinates of the final first location and final second location. 2. The process of claim 1 and wherein said first location data comprised street address data, and wherein said location coordinates of said final location are translated to latitude and longitude coordinates. 3. The process of claim 1, further comprising the steps of assigning a project number to an order and associating a first report for the first building with the project number, and a second report for the second building with the project number. 4. The process of claim 3 and further comprising the act of:
generating, in computer memory, outline drawings around outlines corresponding to roof planes of the first and second buildings based on tracing from said imagery from said images of said aerial imagery database. 5. The process of claim 4 and wherein said providing acts are provided over an internet interface. 6. The process of claim 5 and further comprising the act of:
providing a printed report that includes an aerial image of the first building and the second building. 7. The process of claim 1 and further comprising the act of:
generating, in computer memory, outline drawings around outlines corresponding to roof planes based on tracing from said imagery of said first building and said second building. 8. The process of claim 1 and wherein said providing acts are provided over an internet interface. 9. The process of claim 1 and further comprising the act of:
providing a printed report that includes an aerial image of the first building and the second building. 10. A non-transient computer memory storing computer logic, that when executed by computer hardware causes the computer hardware to determine attributes of a roof structure of a real-world three-dimensional building by:
providing at least one computer input field for a user to input first location data generally corresponding to the location of the building; providing visual access to an image of a region including the roof structures of a first building and a second building corresponding to said first location data; on the image of the region, providing a first visual marker on a first final position on the first building and a second visual marker on a second final position on the second building, the first and second final locations having location coordinates; providing a computer input capable of signaling user-acceptance of the first and second final locations of said first and second visual markers; and, providing visual access to one or more images of an aerial imagery database corresponding to the location coordinates of the first and second final locations. 11. The non-transient computer memory of claim 10, wherein said first location data comprised street address data, and wherein said computer logic when executed by computer hardware causes the computer hardware to translate said location coordinates of said final location to latitude and longitude coordinates. 12. The non-transient computer memory of claim 11 wherein said image corresponding to the first location data is from a first imagery database from which said final location is selected and is internet-based imagery having a corresponding street address look up field, and wherein the aerial imagery database is a second imagery database, and wherein said computer logic when executed by computer hardware causes the computer hardware to:
use said latitude and longitude coordinates to access imagery from the second imagery database. 13. The non-transient computer memory of claim 12, wherein the computer logic, when executed by computer hardware causes the computer hardware to:
generate, in computer memory, outline drawings around outlines corresponding to roof planes based on tracing from said imagery from said second imagery database. 14. The non-transient computer memory of claim 13 and wherein said providing acts are provided over an internet interface. 15. The non-transient computer memory of claim 14, wherein the computer logic, when executed by the computer hardware causes the computer hardware to:
provide a first report that includes an aerial image of the first building, and a second report that includes an aerial image of the second building. 16. The non-transient computer memory of claim 10, wherein the computer logic, when executed by computer hardware causes the computer hardware to:
generate, in computer memory, outline drawings around outlines corresponding to roof planes based on tracing from said imagery. 17. The non-transient computer memory of claim 10 and wherein said providing acts are provided over an internet interface. 18. The non-transient computer memory of claim 10, wherein the computer logic, when executed by the computer hardware causes the computer hardware to:
provide a first report that includes an aerial image of the first building, and a second report that includes an aerial image of the second building. 19. The non-transient computer memory of claim 18, wherein at least one of the first and second reports include a latitude reference and/or a longitude reference corresponding to the location of the first and second buildings. | The present disclosure shows creating a first layer and a second layer, in computer memory and substantially overlapping at least a segment of line from said first layer with at least a segment of another line from said second layer. A first non-dimensional attribute is different from said second non-dimensional attribute of the two lines. A user length field enabling a client with said interactive file to override at least one of said length numeric values, where said area operator may automatically recalculate area based on said length field override is shown. Also, providing a visual marker that is moveable on said computer monitor around said aerial imagery region, which may be moved, to more precisely identify the location of the building roof structure is shown.1. A process for determining attributes of real-world three-dimensional buildings, comprising the acts of:
providing at least one computer input field for a user to input first location data generally corresponding to a location of a first building of the real-world three-dimensional buildings; providing visual access to an image of a region including a roof structure of the first building corresponding to the first location data; on the image of the region, providing a first visual marker that is moveable on a computer monitor around the region, the first visual marker initially corresponding to the first location data, wherein the first visual marker may be moved to a final first location on top of the first building to more precisely identify the location of the first building, the final first location having first location coordinates; on the image of the region, providing a second visual marker that is moveable on the computer monitor around the region, wherein the second marker may be moved to a final second location on top of a second building of the real-world three-dimensional buildings in the image, the final second location having second location coordinates; providing a computer input capable of signaling user-acceptance of the first and second final locations of the first and second markers; and, providing visual access to one or more images of an aerial imagery database corresponding to location coordinates of the final first location and final second location. 2. The process of claim 1 and wherein said first location data comprised street address data, and wherein said location coordinates of said final location are translated to latitude and longitude coordinates. 3. The process of claim 1, further comprising the steps of assigning a project number to an order and associating a first report for the first building with the project number, and a second report for the second building with the project number. 4. The process of claim 3 and further comprising the act of:
generating, in computer memory, outline drawings around outlines corresponding to roof planes of the first and second buildings based on tracing from said imagery from said images of said aerial imagery database. 5. The process of claim 4 and wherein said providing acts are provided over an internet interface. 6. The process of claim 5 and further comprising the act of:
providing a printed report that includes an aerial image of the first building and the second building. 7. The process of claim 1 and further comprising the act of:
generating, in computer memory, outline drawings around outlines corresponding to roof planes based on tracing from said imagery of said first building and said second building. 8. The process of claim 1 and wherein said providing acts are provided over an internet interface. 9. The process of claim 1 and further comprising the act of:
providing a printed report that includes an aerial image of the first building and the second building. 10. A non-transient computer memory storing computer logic, that when executed by computer hardware causes the computer hardware to determine attributes of a roof structure of a real-world three-dimensional building by:
providing at least one computer input field for a user to input first location data generally corresponding to the location of the building; providing visual access to an image of a region including the roof structures of a first building and a second building corresponding to said first location data; on the image of the region, providing a first visual marker on a first final position on the first building and a second visual marker on a second final position on the second building, the first and second final locations having location coordinates; providing a computer input capable of signaling user-acceptance of the first and second final locations of said first and second visual markers; and, providing visual access to one or more images of an aerial imagery database corresponding to the location coordinates of the first and second final locations. 11. The non-transient computer memory of claim 10, wherein said first location data comprised street address data, and wherein said computer logic when executed by computer hardware causes the computer hardware to translate said location coordinates of said final location to latitude and longitude coordinates. 12. The non-transient computer memory of claim 11 wherein said image corresponding to the first location data is from a first imagery database from which said final location is selected and is internet-based imagery having a corresponding street address look up field, and wherein the aerial imagery database is a second imagery database, and wherein said computer logic when executed by computer hardware causes the computer hardware to:
use said latitude and longitude coordinates to access imagery from the second imagery database. 13. The non-transient computer memory of claim 12, wherein the computer logic, when executed by computer hardware causes the computer hardware to:
generate, in computer memory, outline drawings around outlines corresponding to roof planes based on tracing from said imagery from said second imagery database. 14. The non-transient computer memory of claim 13 and wherein said providing acts are provided over an internet interface. 15. The non-transient computer memory of claim 14, wherein the computer logic, when executed by the computer hardware causes the computer hardware to:
provide a first report that includes an aerial image of the first building, and a second report that includes an aerial image of the second building. 16. The non-transient computer memory of claim 10, wherein the computer logic, when executed by computer hardware causes the computer hardware to:
generate, in computer memory, outline drawings around outlines corresponding to roof planes based on tracing from said imagery. 17. The non-transient computer memory of claim 10 and wherein said providing acts are provided over an internet interface. 18. The non-transient computer memory of claim 10, wherein the computer logic, when executed by the computer hardware causes the computer hardware to:
provide a first report that includes an aerial image of the first building, and a second report that includes an aerial image of the second building. 19. The non-transient computer memory of claim 18, wherein at least one of the first and second reports include a latitude reference and/or a longitude reference corresponding to the location of the first and second buildings. | 2,100 |
5,832 | 5,832 | 12,834,861 | 2,153 | The present invention relates to generating a plurality of publications for a plurality of recipients. | 1. A method of generating a printed publication comprising:
a) a first database set comprising a plurality of recipients; b) a second database set comprising a plurality of publication content; c) for each of said recipients, generating a custom subset of content from said plurality of publication content based upon a dynamic scoring function to match content with recipient; d) printing said custom subset of content for each of said recipients to generate said printed publication; wherein at least one inclusion criteria is set for each publication content. | The present invention relates to generating a plurality of publications for a plurality of recipients.1. A method of generating a printed publication comprising:
a) a first database set comprising a plurality of recipients; b) a second database set comprising a plurality of publication content; c) for each of said recipients, generating a custom subset of content from said plurality of publication content based upon a dynamic scoring function to match content with recipient; d) printing said custom subset of content for each of said recipients to generate said printed publication; wherein at least one inclusion criteria is set for each publication content. | 2,100 |
5,833 | 5,833 | 14,560,954 | 2,176 | Systems and methods are disclosed herein for editing a collaborative spreadsheets hosted on a server. Multiple users may edit the spreadsheet, resulting in situations of intersecting or conflicting edits. A change provided by one user may intersect the cells affected by a change provided by another user. In these cases, one user's change is transformed against the other user's change. In this manner, the conflict is resolved and both changes can be applied to the spreadsheet. Each user device may perform these transforms, and the server may also perform these transforms. This can result in transmission of a reduced volume of data over a network between the devices and the server, in comparison with other methods. | 1. A computer-implemented method for editing a collaborative spreadsheet hosted on a server, comprising:
displaying, using a processor and on a user device, the collaborative spreadsheet based on a first model stored on the user device; receiving, at the processor and from a user, a first input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range; receiving, at the processor and from the server, a second input to modify a portion of the spreadsheet, wherein the second input includes an instruction to modify the spreadsheet in a manner that affects content in at least one of the source range and the destination range; transforming, at the processor, the first input based on the second input to obtain a transformed first input; modifying, using the processor, the first model based on the second input to obtain a second model; further modifying, using the processor, the second model based on the transformed first input to obtain a third model; and displaying, using the processor and at the user device, the collaborative spreadsheet based on the third model. 2. The method of claim 1, further comprising transmitting, to the server, the first input and a first revision number corresponding to the first model stored on the user device. 3. The method of claim 2, further comprising determining, based on whether an acknowledgement is received from the server, whether to transform the first input, wherein the acknowledgement is associated with the first input and includes a second revision number that is greater than the first revision number. 4. The method of claim 3, wherein whether the acknowledgement is received determines whether to further modify the second model. 5. The method of claim 1, further comprising transmitting, to the server, the transformed first input and a revision number corresponding to the second model stored on the user device. 6. The method of claim 1, wherein:
the destination range is larger than the source range; and the instruction to copy content includes an instruction to tile the content from the source range into the destination range. 7. A computer-implemented method for editing a collaborative spreadsheet hosted on a server, comprising:
receiving, at the server from a first user device, a first input to modify the spreadsheet; receiving, at the server from a second user device, a second input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range, wherein the first input includes an instruction to modify the spreadsheet in a manner that affects at least one of the source range and the destination range; transforming the second input based on the first input to obtain a transformed second input; and transmitting, from the server to the first user device, the transformed second input. 8. The method of claim 7, further comprising determining, based on a comparison of a first revision number associated with the first input with a second revision number associated with the second input, whether to transform the second input. 9. The method of claim 7, further comprising:
modifying, based on the first input, a model of the spreadsheet stored on the server to obtain a first modified model; and further modifying, based on the transformed second input, the first modified model to obtain a second modified model. 10. The method of claim 9, further comprising:
transmitting, from the server to the first user device, an acknowledgement of the first input and a first revision number; transmitting, from the server to the second user device, the first input and the first revision number; transmitting, from the server to the first user device, the transformed second input and a second revision number that is greater than the first revision number; and transmitting, from the server to the second user device, an acknowledgement of the second input and the second revision number. 11. A system comprising a processor configured to:
display, using the processor and based on a first model stored on the system, a collaborative spreadsheet hosted on a server; receive, at the processor and from a user, a first input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range; receive, at the processor and from the server, a second input to modify a portion of the spreadsheet, wherein the second input includes an instruction to modify the spreadsheet in a manner that affects content in at least one of the source range and the destination range; transform, at the processor, the first input based on the second input to obtain a transformed first input; modify, using the processor, the model based on the second input to obtain a second model; further modify, using the processor, the second model based on the transformed first input to obtain a third model; and display, using the processor, the collaborative spreadsheet based on the third model. 12. The system of claim 11, the processor being further configured to transmit, to the server, the first input and a first revision number corresponding to the first model stored on the system. 13. The system of claim 12, the processor being further configured to determine, based on whether an acknowledgement is received from the server, whether to transform the first input, wherein the acknowledgement is associated with the first input and includes a second revision number that is greater than the first revision number. 14. The system of claim 13, the processor being further configured to determine, based on receiving the acknowledgement, whether to further modify the second model. 15. The system of claim 11, the processor being further configured to transmit, to the server, the transformed first input and a revision number corresponding to the second model stored on the system. 16. The system of claim 11, wherein:
the destination range is larger than the source range; and the instruction to copy content includes an instruction to tile content from the source range into the destination range. 17. A system comprising a processor configured to:
receive, from a first user device, a first input to modify a collaborative spreadsheet hosted on a server; receive, from a second user device, a second input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range, wherein the first input includes an instruction to modify the spreadsheet in a manner that affects at least one of the source range and the destination range; transform the second input based on the first input to obtain a transformed second input; and transmit, to the first user device, the transformed second input. 18. The system of claim 17, the processor being further configured to determine, based on a comparison of a first revision number associated with the first input with a second revision number associated with the second input, whether to transform the second input. 19. The system of claim 17, the processor being further configured to:
modify, based on the first input, a model of the spreadsheet stored on the server to obtain a first modified model; and further modify, based on the transformed second input, the first modified model to obtain a second modified model. 20. The system of claim 19, the processor being further configured to:
transmit, to the first user device, an acknowledgement of the first input and a first revision number; transmit, to the second user device, the first input and the first revision number; transmit, to the first user device, the transformed second input and a second revision number that is greater than the first revision number; and transmit, to the second user device, an acknowledgement of the second input and the second revision number. | Systems and methods are disclosed herein for editing a collaborative spreadsheets hosted on a server. Multiple users may edit the spreadsheet, resulting in situations of intersecting or conflicting edits. A change provided by one user may intersect the cells affected by a change provided by another user. In these cases, one user's change is transformed against the other user's change. In this manner, the conflict is resolved and both changes can be applied to the spreadsheet. Each user device may perform these transforms, and the server may also perform these transforms. This can result in transmission of a reduced volume of data over a network between the devices and the server, in comparison with other methods.1. A computer-implemented method for editing a collaborative spreadsheet hosted on a server, comprising:
displaying, using a processor and on a user device, the collaborative spreadsheet based on a first model stored on the user device; receiving, at the processor and from a user, a first input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range; receiving, at the processor and from the server, a second input to modify a portion of the spreadsheet, wherein the second input includes an instruction to modify the spreadsheet in a manner that affects content in at least one of the source range and the destination range; transforming, at the processor, the first input based on the second input to obtain a transformed first input; modifying, using the processor, the first model based on the second input to obtain a second model; further modifying, using the processor, the second model based on the transformed first input to obtain a third model; and displaying, using the processor and at the user device, the collaborative spreadsheet based on the third model. 2. The method of claim 1, further comprising transmitting, to the server, the first input and a first revision number corresponding to the first model stored on the user device. 3. The method of claim 2, further comprising determining, based on whether an acknowledgement is received from the server, whether to transform the first input, wherein the acknowledgement is associated with the first input and includes a second revision number that is greater than the first revision number. 4. The method of claim 3, wherein whether the acknowledgement is received determines whether to further modify the second model. 5. The method of claim 1, further comprising transmitting, to the server, the transformed first input and a revision number corresponding to the second model stored on the user device. 6. The method of claim 1, wherein:
the destination range is larger than the source range; and the instruction to copy content includes an instruction to tile the content from the source range into the destination range. 7. A computer-implemented method for editing a collaborative spreadsheet hosted on a server, comprising:
receiving, at the server from a first user device, a first input to modify the spreadsheet; receiving, at the server from a second user device, a second input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range, wherein the first input includes an instruction to modify the spreadsheet in a manner that affects at least one of the source range and the destination range; transforming the second input based on the first input to obtain a transformed second input; and transmitting, from the server to the first user device, the transformed second input. 8. The method of claim 7, further comprising determining, based on a comparison of a first revision number associated with the first input with a second revision number associated with the second input, whether to transform the second input. 9. The method of claim 7, further comprising:
modifying, based on the first input, a model of the spreadsheet stored on the server to obtain a first modified model; and further modifying, based on the transformed second input, the first modified model to obtain a second modified model. 10. The method of claim 9, further comprising:
transmitting, from the server to the first user device, an acknowledgement of the first input and a first revision number; transmitting, from the server to the second user device, the first input and the first revision number; transmitting, from the server to the first user device, the transformed second input and a second revision number that is greater than the first revision number; and transmitting, from the server to the second user device, an acknowledgement of the second input and the second revision number. 11. A system comprising a processor configured to:
display, using the processor and based on a first model stored on the system, a collaborative spreadsheet hosted on a server; receive, at the processor and from a user, a first input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range; receive, at the processor and from the server, a second input to modify a portion of the spreadsheet, wherein the second input includes an instruction to modify the spreadsheet in a manner that affects content in at least one of the source range and the destination range; transform, at the processor, the first input based on the second input to obtain a transformed first input; modify, using the processor, the model based on the second input to obtain a second model; further modify, using the processor, the second model based on the transformed first input to obtain a third model; and display, using the processor, the collaborative spreadsheet based on the third model. 12. The system of claim 11, the processor being further configured to transmit, to the server, the first input and a first revision number corresponding to the first model stored on the system. 13. The system of claim 12, the processor being further configured to determine, based on whether an acknowledgement is received from the server, whether to transform the first input, wherein the acknowledgement is associated with the first input and includes a second revision number that is greater than the first revision number. 14. The system of claim 13, the processor being further configured to determine, based on receiving the acknowledgement, whether to further modify the second model. 15. The system of claim 11, the processor being further configured to transmit, to the server, the transformed first input and a revision number corresponding to the second model stored on the system. 16. The system of claim 11, wherein:
the destination range is larger than the source range; and the instruction to copy content includes an instruction to tile content from the source range into the destination range. 17. A system comprising a processor configured to:
receive, from a first user device, a first input to modify a collaborative spreadsheet hosted on a server; receive, from a second user device, a second input including a source range of the spreadsheet, a destination range of the spreadsheet, and an instruction to copy content from the source range to the destination range, wherein the first input includes an instruction to modify the spreadsheet in a manner that affects at least one of the source range and the destination range; transform the second input based on the first input to obtain a transformed second input; and transmit, to the first user device, the transformed second input. 18. The system of claim 17, the processor being further configured to determine, based on a comparison of a first revision number associated with the first input with a second revision number associated with the second input, whether to transform the second input. 19. The system of claim 17, the processor being further configured to:
modify, based on the first input, a model of the spreadsheet stored on the server to obtain a first modified model; and further modify, based on the transformed second input, the first modified model to obtain a second modified model. 20. The system of claim 19, the processor being further configured to:
transmit, to the first user device, an acknowledgement of the first input and a first revision number; transmit, to the second user device, the first input and the first revision number; transmit, to the first user device, the transformed second input and a second revision number that is greater than the first revision number; and transmit, to the second user device, an acknowledgement of the second input and the second revision number. | 2,100 |
5,834 | 5,834 | 14,626,172 | 2,124 | An apparatus comprises a mass storage unit and a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces. Switching circuitry is configured to selectively couple the circuit modules. Configuration circuitry is configured to access configuration data from the mass storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data. | 1. An apparatus comprising:
a mass storage unit; a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces; switching circuitry configured to selectively couple the circuit modules; and configuration circuitry configured to access configuration data from the mass storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data. 2. The apparatus of claim 1, wherein the input/output interfaces comprise analog interfaces. 3. The apparatus of claim 1, wherein circuit modules further include a vector matrix multiplier module. 4. The apparatus of claim 1, wherein the machine learning module comprises a neural network module. 5. The apparatus of claim 1, wherein the machine learning module comprises a hidden Markov Model module. 6. The apparatus of claim 1, wherein the machine learning module comprises a scale-invariant feature transform module. 7. The apparatus of claim 1, wherein circuit modules further include a Viterbi module. 8. The apparatus of claim 1, wherein the switching circuitry is further configured to selectively couple the circuit modules to a portion of the mass storage unit. 9. A system comprising:
a storage unit; a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces, the circuit modules configured to process a data stream and write output of such to the storage unit; switching circuitry configured to selectively couple the circuit modules; and configuration circuitry configured to access configuration data from the storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data. 10. The system of claim 9, wherein the data stream is a live stream of data received at a data input of the apparatus. 11. The system of claim 9, wherein the data stream is formed from content previously stored on the storage unit. 12. The system of claim 9, wherein the configuration circuitry is configured to store current configuration data using scan chains. 13. The system of claim 12, wherein the configuration circuitry is configured to store the current configuration data to the storage unit by capturing the current configuration data from the scan chains. 14. The system of claim 9, wherein the configuration circuitry is configured to:
receive a shut-down command; and apply current configuration data to scan chains upon receipt of the shut-down command. 15. A method comprising:
receiving, from a host, a configuration defining connections between circuit modules of a storage compute device, the circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces; applying the configuration to switching circuitry to selectively couple the circuit modules; and processing a data stream via the coupled circuit modules. 16. The method of claim 15, wherein the machine learning module comprises at least one of a neural network module, a hidden Markov Model module, and a scale-invariant feature transform module. 17. The method of claim 15, wherein the switching circuitry is further configured to selectively couple the circuit modules to a portion of a mass storage unit of the storage compute device. 18. The method of claim 15, further comprising writing an output of the processed data stream to a mass storage unit of the storage compute device. 19. The method of claim 18, wherein the data stream is a live stream of data received at a data input of the storage compute device. 20. The method of claim 18, wherein the data stream is formed from content previously stored on the mass storage unit. | An apparatus comprises a mass storage unit and a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces. Switching circuitry is configured to selectively couple the circuit modules. Configuration circuitry is configured to access configuration data from the mass storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data.1. An apparatus comprising:
a mass storage unit; a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces; switching circuitry configured to selectively couple the circuit modules; and configuration circuitry configured to access configuration data from the mass storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data. 2. The apparatus of claim 1, wherein the input/output interfaces comprise analog interfaces. 3. The apparatus of claim 1, wherein circuit modules further include a vector matrix multiplier module. 4. The apparatus of claim 1, wherein the machine learning module comprises a neural network module. 5. The apparatus of claim 1, wherein the machine learning module comprises a hidden Markov Model module. 6. The apparatus of claim 1, wherein the machine learning module comprises a scale-invariant feature transform module. 7. The apparatus of claim 1, wherein circuit modules further include a Viterbi module. 8. The apparatus of claim 1, wherein the switching circuitry is further configured to selectively couple the circuit modules to a portion of the mass storage unit. 9. A system comprising:
a storage unit; a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces, the circuit modules configured to process a data stream and write output of such to the storage unit; switching circuitry configured to selectively couple the circuit modules; and configuration circuitry configured to access configuration data from the storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data. 10. The system of claim 9, wherein the data stream is a live stream of data received at a data input of the apparatus. 11. The system of claim 9, wherein the data stream is formed from content previously stored on the storage unit. 12. The system of claim 9, wherein the configuration circuitry is configured to store current configuration data using scan chains. 13. The system of claim 12, wherein the configuration circuitry is configured to store the current configuration data to the storage unit by capturing the current configuration data from the scan chains. 14. The system of claim 9, wherein the configuration circuitry is configured to:
receive a shut-down command; and apply current configuration data to scan chains upon receipt of the shut-down command. 15. A method comprising:
receiving, from a host, a configuration defining connections between circuit modules of a storage compute device, the circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces; applying the configuration to switching circuitry to selectively couple the circuit modules; and processing a data stream via the coupled circuit modules. 16. The method of claim 15, wherein the machine learning module comprises at least one of a neural network module, a hidden Markov Model module, and a scale-invariant feature transform module. 17. The method of claim 15, wherein the switching circuitry is further configured to selectively couple the circuit modules to a portion of a mass storage unit of the storage compute device. 18. The method of claim 15, further comprising writing an output of the processed data stream to a mass storage unit of the storage compute device. 19. The method of claim 18, wherein the data stream is a live stream of data received at a data input of the storage compute device. 20. The method of claim 18, wherein the data stream is formed from content previously stored on the mass storage unit. | 2,100 |
5,835 | 5,835 | 14,938,326 | 2,179 | The invention provides a method, system, and program product for reducing use of one or more computer resources. In one embodiment, the invention includes monitoring a user's interaction with a virtual universe, determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe, determining whether a computer resource allocated to the user should be reduced, and in the case that the computer resource should be reduced, reducing the computer resource. | 1. A method comprising:
monitoring a user's interaction with a virtual universe; determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe; and determining whether a computer resource allocated to the user should be reduced, including determining whether the user has chosen to maintain an avatar of the user within the virtual universe by paying for such maintenance. 2. The method of claim 1, wherein monitoring includes monitoring computer activities of the user. 3. The method of claim 1, wherein the computer resource includes at least one resource selected from a group consisting of: central processing unit (CPU) usage, disk usage, network usage, memory usage, and software usage. 4. The method of claim 3, further comprising:
in the case that the computer resource should be reduced, reducing the computer resource. 5. The method of claim 4, wherein reducing the computer resource includes terminating a presence of an avatar of the user within the virtual universe. 6. The method of claim 4, wherein reducing the computer resource includes changing a representation of an avatar of the user from color to black and white. 7. The method of claim 4, wherein reducing the computer resource includes reducing a size of an avatar of the user. 8. The method of claim 4, wherein reducing the computer resource includes reducing a resolution of an avatar of the user. 9. The method of claim 4, wherein reducing the computer resource includes replacing an avatar of the user with a two-dimensional shape. 10. A system comprising:
at least one computing device configured for reducing use of a computer resource by performing a method comprising:
monitoring a user's interaction with a virtual universe;
determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe; and
determining whether a computer resource allocated to the user should be reduced, including determining whether the user has chosen to maintain an avatar of the user within the virtual universe by paying for such maintenance. 11. The system of claim 10, wherein the computer resource includes at least one resource selected from a group consisting of: central processing unit (CPU) usage, disk usage, network usage, memory usage, and software usage. 12. The system of claim 11, wherein the method further comprises:
in the case that the computer resource should be reduced, reducing the computer resource. 13. The system of claim 11, wherein reducing the computer resource includes terminating a presence of an avatar of the user within the virtual universe. 14. The system of claim 11, wherein reducing the computer resource includes changing a representation of an avatar of the user from color to black and white. 15. The system of claim 11, wherein reducing the computer resource includes reducing a size of an avatar of the user. 16. The system of claim 11, wherein reducing the computer resource includes reducing a resolution of an avatar of the user. 17. The system of claim 11, wherein reducing the computer resource includes replacing an avatar of the user with a two-dimensional shape. 18. A program product stored on a non-transitory computer-readable storage medium, which when executed, is operable to perform a method comprising:
monitoring a user's interaction with a virtual universe; determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe; and determining whether a computer resource allocated to the user should be reduced, including determining whether the user has chosen to maintain an avatar of the user within the virtual universe by paying for such maintenance. 19. The program product of claim 18, wherein the computer resource includes at least one resource selected from a group consisting of: central processing unit (CPU) usage, disk usage, network usage, memory usage, and software usage. 20. The program product of claim 18, wherein the method further comprises:
in the case that the computer resource should be reduced, reducing the computer resource. | The invention provides a method, system, and program product for reducing use of one or more computer resources. In one embodiment, the invention includes monitoring a user's interaction with a virtual universe, determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe, determining whether a computer resource allocated to the user should be reduced, and in the case that the computer resource should be reduced, reducing the computer resource.1. A method comprising:
monitoring a user's interaction with a virtual universe; determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe; and determining whether a computer resource allocated to the user should be reduced, including determining whether the user has chosen to maintain an avatar of the user within the virtual universe by paying for such maintenance. 2. The method of claim 1, wherein monitoring includes monitoring computer activities of the user. 3. The method of claim 1, wherein the computer resource includes at least one resource selected from a group consisting of: central processing unit (CPU) usage, disk usage, network usage, memory usage, and software usage. 4. The method of claim 3, further comprising:
in the case that the computer resource should be reduced, reducing the computer resource. 5. The method of claim 4, wherein reducing the computer resource includes terminating a presence of an avatar of the user within the virtual universe. 6. The method of claim 4, wherein reducing the computer resource includes changing a representation of an avatar of the user from color to black and white. 7. The method of claim 4, wherein reducing the computer resource includes reducing a size of an avatar of the user. 8. The method of claim 4, wherein reducing the computer resource includes reducing a resolution of an avatar of the user. 9. The method of claim 4, wherein reducing the computer resource includes replacing an avatar of the user with a two-dimensional shape. 10. A system comprising:
at least one computing device configured for reducing use of a computer resource by performing a method comprising:
monitoring a user's interaction with a virtual universe;
determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe; and
determining whether a computer resource allocated to the user should be reduced, including determining whether the user has chosen to maintain an avatar of the user within the virtual universe by paying for such maintenance. 11. The system of claim 10, wherein the computer resource includes at least one resource selected from a group consisting of: central processing unit (CPU) usage, disk usage, network usage, memory usage, and software usage. 12. The system of claim 11, wherein the method further comprises:
in the case that the computer resource should be reduced, reducing the computer resource. 13. The system of claim 11, wherein reducing the computer resource includes terminating a presence of an avatar of the user within the virtual universe. 14. The system of claim 11, wherein reducing the computer resource includes changing a representation of an avatar of the user from color to black and white. 15. The system of claim 11, wherein reducing the computer resource includes reducing a size of an avatar of the user. 16. The system of claim 11, wherein reducing the computer resource includes reducing a resolution of an avatar of the user. 17. The system of claim 11, wherein reducing the computer resource includes replacing an avatar of the user with a two-dimensional shape. 18. A program product stored on a non-transitory computer-readable storage medium, which when executed, is operable to perform a method comprising:
monitoring a user's interaction with a virtual universe; determining whether the user's interaction with the virtual universe is consistent with the user's attention being diverted from the virtual universe; and determining whether a computer resource allocated to the user should be reduced, including determining whether the user has chosen to maintain an avatar of the user within the virtual universe by paying for such maintenance. 19. The program product of claim 18, wherein the computer resource includes at least one resource selected from a group consisting of: central processing unit (CPU) usage, disk usage, network usage, memory usage, and software usage. 20. The program product of claim 18, wherein the method further comprises:
in the case that the computer resource should be reduced, reducing the computer resource. | 2,100 |
5,836 | 5,836 | 15,068,988 | 2,164 | In accordance with the present disclosure, files may be deduplicated in a distributed storage system having a plurality of storage volumes. A uniqueness metric for each file may indicate a degree of deduplication of the respective data files in the given storage volume. The uniqueness metric may be used to identify files for rebalancing in the distributed storage system. The uniqueness metric may be efficiently calculated with enough accuracy using a sampling methodology. | 1. A method in a distributed storage system comprising a plurality of storage volumes, the method comprising:
storing a plurality of data files among the storage volumes that comprise the distributed storage system including, for each storage volume, deduplicating data that comprise data files stored in that storage volume; computing uniqueness metrics for respective data files in their respective storage volume, the uniqueness metrics being indicative of a degree of deduplication of the respective data files in their respective storage volume; using the uniqueness metrics of data files in a first storage volume to identify one or more first data files in the first storage volume; and moving the one or more first data files from the first storage volume to a second storage volume to load balance the data files among the storage volumes that comprise the distributed storage system. 2. The method of claim 1, wherein computing a uniqueness metric for a given data file includes computing a ratio of a number of logical data blocks of the given data file that point to unique physical data blocks to a number of logical data blocks that comprise the given data file. 3. The method of claim 2, further comprising selecting a subset of the logical data blocks that comprise the given data file and determining a ratio of a total number of logical data blocks in the subset that point to unique physical data blocks to a total number of logical data blocks in the subset. 4. The method of claim 1, wherein computing a uniqueness metric for a given data file comprises selecting one or more subsets of the logical blocks that comprise the given data file and computing a uniqueness metric based on only the one or more subset of the logical blocks selected. 5. The method of claim 1, wherein the one or more first data files are further identified based on a target amount of data to be reduced in the first storage volume. 6. The method of claim 1, wherein using the uniqueness metrics to identify the first plurality of data files includes binning the data files in the first storage volume into a plurality of bins according to their respective uniqueness metrics, each bin associated with a range of uniqueness metrics, wherein the one or more first data files are initially identified from a first bin that is associated with the highest range of uniqueness metrics. 7. The method of claim 6, wherein the one or more first data files are the smallest among data files binned in the first bin. 8. The method of claim 6, wherein the one or more first data files are subsequently identified from bins associated with successively smaller ranges of uniqueness metrics. 9. The method of claim 1, wherein some of the one or more first data files are moved to the second storage volume and some of the one or more first data files are moved to a third storage volume. 10. A non-transitory computer-readable storage medium having stored thereon computer executable instructions, which when executed by a computer device, cause the computer device to:
store a plurality of data files among storage volumes that comprise a distributed storage system including, for each storage volume, deduplicating data that comprise data files stored in that storage volume; compute uniqueness metrics for respective data files in their respective storage volume, the uniqueness metrics indicative of a degree of deduplication of the respective data files in their respective storage volume; use the uniqueness metrics of data files in a first storage volume to identify one or more first data files in the first storage volume; and move the one or more first data files from the first storage volume to at least a second storage volume to load balance the data files among the storage volumes that comprise the distributed storage system. 11. The non-transitory computer-readable storage medium of claim 10, wherein the uniqueness metric for a given data file is computed by computing a ratio of a number of logical data blocks of the given data file that point to unique physical data blocks to a number of logical data blocks that comprise the given data file. 12. The non-transitory computer-readable storage medium of claim 11, further comprising computer executable instructions, which when executed by a computer device, cause the computer device to select a subset of the logical data blocks that comprise the given data file and determine a ratio of a total number of logical data blocks in the subset that point to unique physical data blocks to a total number of logical data blocks in the subset. 13. The non-transitory computer-readable storage medium of claim 10, wherein the uniqueness metric for a given data file is computed by selecting one or more subsets of the logical blocks that comprise the given data file and computing a uniqueness metric based on only the one or more subset of the logical blocks selected. 14. An apparatus comprising:
one or more computer processors; a distributed storage system comprising a plurality of storage volumes; and a computer-readable storage medium comprising instructions for controlling the one or more computer processors to:
store a plurality of data files among the storage volumes that comprise the distributed storage system including, for each storage volume, deduplicating data that comprise data files stored in that storage volume;
compute uniqueness metrics for respective data files in their respective storage volume, the uniqueness metrics indicative of a degree of deduplication of the respective data files in their respective storage volume;
use the uniqueness metrics of data files in a first storage volume to identify one or more first data files in the first storage volume; and
move the one or more first data files from the first storage volume to at least a second storage volume to load balance the data files among the storage volumes that comprise the distributed storage system. 15. The apparatus of claim 14, wherein computing a uniqueness metric for a given data file includes computing a ratio of a number of logical data blocks of the given data file that point to unique physical data blocks to a number of logical data blocks that comprise the given data file. 16. The apparatus of claim 14, further comprising selecting a subset of the logical data blocks that comprise the given data file and determining a ratio of a total number of logical data blocks in the subset that point to unique physical data blocks to a total number of logical data blocks in the subset. 17. The apparatus of claim 14, wherein the one or more first data files are further identified based on a target amount of data to be reduced in the first storage volume. 18. The apparatus of claim 14, wherein using the uniqueness metrics to identify the first plurality of data files includes binning the data files in the first storage volume into a plurality of bins according to their respective uniqueness metrics, each bin associated with a range of uniqueness metrics, wherein the one or more first data files are initially identified from a first bin that is associated with the highest range of uniqueness metrics. 19. The apparatus of claim 14, wherein each storage volume comprises a plurality of data storage devices. 20. The apparatus of claim 14, further comprising a plurality of host machines, each host machine configured to manage one or more of the storage volumes. | In accordance with the present disclosure, files may be deduplicated in a distributed storage system having a plurality of storage volumes. A uniqueness metric for each file may indicate a degree of deduplication of the respective data files in the given storage volume. The uniqueness metric may be used to identify files for rebalancing in the distributed storage system. The uniqueness metric may be efficiently calculated with enough accuracy using a sampling methodology.1. A method in a distributed storage system comprising a plurality of storage volumes, the method comprising:
storing a plurality of data files among the storage volumes that comprise the distributed storage system including, for each storage volume, deduplicating data that comprise data files stored in that storage volume; computing uniqueness metrics for respective data files in their respective storage volume, the uniqueness metrics being indicative of a degree of deduplication of the respective data files in their respective storage volume; using the uniqueness metrics of data files in a first storage volume to identify one or more first data files in the first storage volume; and moving the one or more first data files from the first storage volume to a second storage volume to load balance the data files among the storage volumes that comprise the distributed storage system. 2. The method of claim 1, wherein computing a uniqueness metric for a given data file includes computing a ratio of a number of logical data blocks of the given data file that point to unique physical data blocks to a number of logical data blocks that comprise the given data file. 3. The method of claim 2, further comprising selecting a subset of the logical data blocks that comprise the given data file and determining a ratio of a total number of logical data blocks in the subset that point to unique physical data blocks to a total number of logical data blocks in the subset. 4. The method of claim 1, wherein computing a uniqueness metric for a given data file comprises selecting one or more subsets of the logical blocks that comprise the given data file and computing a uniqueness metric based on only the one or more subset of the logical blocks selected. 5. The method of claim 1, wherein the one or more first data files are further identified based on a target amount of data to be reduced in the first storage volume. 6. The method of claim 1, wherein using the uniqueness metrics to identify the first plurality of data files includes binning the data files in the first storage volume into a plurality of bins according to their respective uniqueness metrics, each bin associated with a range of uniqueness metrics, wherein the one or more first data files are initially identified from a first bin that is associated with the highest range of uniqueness metrics. 7. The method of claim 6, wherein the one or more first data files are the smallest among data files binned in the first bin. 8. The method of claim 6, wherein the one or more first data files are subsequently identified from bins associated with successively smaller ranges of uniqueness metrics. 9. The method of claim 1, wherein some of the one or more first data files are moved to the second storage volume and some of the one or more first data files are moved to a third storage volume. 10. A non-transitory computer-readable storage medium having stored thereon computer executable instructions, which when executed by a computer device, cause the computer device to:
store a plurality of data files among storage volumes that comprise a distributed storage system including, for each storage volume, deduplicating data that comprise data files stored in that storage volume; compute uniqueness metrics for respective data files in their respective storage volume, the uniqueness metrics indicative of a degree of deduplication of the respective data files in their respective storage volume; use the uniqueness metrics of data files in a first storage volume to identify one or more first data files in the first storage volume; and move the one or more first data files from the first storage volume to at least a second storage volume to load balance the data files among the storage volumes that comprise the distributed storage system. 11. The non-transitory computer-readable storage medium of claim 10, wherein the uniqueness metric for a given data file is computed by computing a ratio of a number of logical data blocks of the given data file that point to unique physical data blocks to a number of logical data blocks that comprise the given data file. 12. The non-transitory computer-readable storage medium of claim 11, further comprising computer executable instructions, which when executed by a computer device, cause the computer device to select a subset of the logical data blocks that comprise the given data file and determine a ratio of a total number of logical data blocks in the subset that point to unique physical data blocks to a total number of logical data blocks in the subset. 13. The non-transitory computer-readable storage medium of claim 10, wherein the uniqueness metric for a given data file is computed by selecting one or more subsets of the logical blocks that comprise the given data file and computing a uniqueness metric based on only the one or more subset of the logical blocks selected. 14. An apparatus comprising:
one or more computer processors; a distributed storage system comprising a plurality of storage volumes; and a computer-readable storage medium comprising instructions for controlling the one or more computer processors to:
store a plurality of data files among the storage volumes that comprise the distributed storage system including, for each storage volume, deduplicating data that comprise data files stored in that storage volume;
compute uniqueness metrics for respective data files in their respective storage volume, the uniqueness metrics indicative of a degree of deduplication of the respective data files in their respective storage volume;
use the uniqueness metrics of data files in a first storage volume to identify one or more first data files in the first storage volume; and
move the one or more first data files from the first storage volume to at least a second storage volume to load balance the data files among the storage volumes that comprise the distributed storage system. 15. The apparatus of claim 14, wherein computing a uniqueness metric for a given data file includes computing a ratio of a number of logical data blocks of the given data file that point to unique physical data blocks to a number of logical data blocks that comprise the given data file. 16. The apparatus of claim 14, further comprising selecting a subset of the logical data blocks that comprise the given data file and determining a ratio of a total number of logical data blocks in the subset that point to unique physical data blocks to a total number of logical data blocks in the subset. 17. The apparatus of claim 14, wherein the one or more first data files are further identified based on a target amount of data to be reduced in the first storage volume. 18. The apparatus of claim 14, wherein using the uniqueness metrics to identify the first plurality of data files includes binning the data files in the first storage volume into a plurality of bins according to their respective uniqueness metrics, each bin associated with a range of uniqueness metrics, wherein the one or more first data files are initially identified from a first bin that is associated with the highest range of uniqueness metrics. 19. The apparatus of claim 14, wherein each storage volume comprises a plurality of data storage devices. 20. The apparatus of claim 14, further comprising a plurality of host machines, each host machine configured to manage one or more of the storage volumes. | 2,100 |
5,837 | 5,837 | 14,780,392 | 2,135 | A system and method for addressing split modes of persistent memory are described herein. The system includes a non-volatile memory comprising regions of memory, each region comprising a range of memory address spaces. The system also includes a memory controller (MC) to control access to the non-volatile memory. The system further includes a device to track a mode of each region of memory and to define the mode of each region of memory. The mode is a functional use model. | 1. A computing system, comprising:
a non-volatile memory comprising regions of memory, each region comprising a range of memory address spaces; a memory controller (MC) to control access to the non-volatile memory; and a device to track a mode of each region of memory and to define the mode of each region of memory, wherein the mode is a functional use model. 2. The computing system of claim 1, wherein the device comprises an address mapping table. 3. The computing system of claim 1, wherein the device is within the memory controller. 4. The computing system of claim 1, wherein the mode of each region of data is defined as one of working-set memory, memory mapped storage with encryption, memory mapped storage without encryption, encrypted storage, reflective memory, block storage, disk storage, redundant storage, or a combination thereof. 5. The computing system of claim 1, wherein the device denies access to a region of memory when access rules defined by the device are not met. 6. The computing system of claim 1, wherein the device configures switches in the device to control actions to be taken by the memory controller for each region. 7. A method, comprising:
receiving a request to access a region of memory of a computing system in a memory controller; accessing a device defining a mode of the region of memory; receiving access rules of the region of memory defined by the device; and accessing the region of memory in accordance with the access rules defined by the device. 8. The method of claim 7, wherein the device defining the mode of the region of memory comprises an address mapping table. 9. The method of claim 7, wherein the device resides in a memory controller. 10. The method of claim 7, further comprising receiving a notice of access denial from the device when the access rules defined by the device are not met. 11. The method of claim 7, wherein the device defines the mode of the region of memory as one of working-set memory, memory mapped storage with encryption, memory mapped storage without encryption, encrypted storage, reflective memory, block storage, disk storage, redundant storage, or a combination thereof. 12. A tangible, non-transitory, computer-readable storage medium comprising code to direct a processor to:
receive a request to access a region of memory of a computing system in a memory controller; access a device defining a mode of the region of memory; receive access rules of the region of memory defined by the device; and access the region of memory in accordance with the access rules defined by the device. 13. The tangible, non-transitory, computer-readable storage medium of claim 12, wherein the region of memory comprises a range of memory addresses. 14. The tangible, non-transitory, computer-readable storage medium of claim 12, wherein access to a region of memory is denied when access rules defined by the device for the region of memory are not met. 15. The tangible, non-transitory, computer-readable storage medium of claim 12, wherein the mode of each region of memory is one of working-set memory, memory mapped storage with encryption, memory mapped storage without encryption, reflective memory, block storage, disk storage, redundant storage, or a combination thereof. | A system and method for addressing split modes of persistent memory are described herein. The system includes a non-volatile memory comprising regions of memory, each region comprising a range of memory address spaces. The system also includes a memory controller (MC) to control access to the non-volatile memory. The system further includes a device to track a mode of each region of memory and to define the mode of each region of memory. The mode is a functional use model.1. A computing system, comprising:
a non-volatile memory comprising regions of memory, each region comprising a range of memory address spaces; a memory controller (MC) to control access to the non-volatile memory; and a device to track a mode of each region of memory and to define the mode of each region of memory, wherein the mode is a functional use model. 2. The computing system of claim 1, wherein the device comprises an address mapping table. 3. The computing system of claim 1, wherein the device is within the memory controller. 4. The computing system of claim 1, wherein the mode of each region of data is defined as one of working-set memory, memory mapped storage with encryption, memory mapped storage without encryption, encrypted storage, reflective memory, block storage, disk storage, redundant storage, or a combination thereof. 5. The computing system of claim 1, wherein the device denies access to a region of memory when access rules defined by the device are not met. 6. The computing system of claim 1, wherein the device configures switches in the device to control actions to be taken by the memory controller for each region. 7. A method, comprising:
receiving a request to access a region of memory of a computing system in a memory controller; accessing a device defining a mode of the region of memory; receiving access rules of the region of memory defined by the device; and accessing the region of memory in accordance with the access rules defined by the device. 8. The method of claim 7, wherein the device defining the mode of the region of memory comprises an address mapping table. 9. The method of claim 7, wherein the device resides in a memory controller. 10. The method of claim 7, further comprising receiving a notice of access denial from the device when the access rules defined by the device are not met. 11. The method of claim 7, wherein the device defines the mode of the region of memory as one of working-set memory, memory mapped storage with encryption, memory mapped storage without encryption, encrypted storage, reflective memory, block storage, disk storage, redundant storage, or a combination thereof. 12. A tangible, non-transitory, computer-readable storage medium comprising code to direct a processor to:
receive a request to access a region of memory of a computing system in a memory controller; access a device defining a mode of the region of memory; receive access rules of the region of memory defined by the device; and access the region of memory in accordance with the access rules defined by the device. 13. The tangible, non-transitory, computer-readable storage medium of claim 12, wherein the region of memory comprises a range of memory addresses. 14. The tangible, non-transitory, computer-readable storage medium of claim 12, wherein access to a region of memory is denied when access rules defined by the device for the region of memory are not met. 15. The tangible, non-transitory, computer-readable storage medium of claim 12, wherein the mode of each region of memory is one of working-set memory, memory mapped storage with encryption, memory mapped storage without encryption, reflective memory, block storage, disk storage, redundant storage, or a combination thereof. | 2,100 |
5,838 | 5,838 | 14,940,084 | 2,184 | Control logic within a memory control component outputs first and second memory read commands to a memory module at respective times, the memory module having memory components disposed thereon. Interface circuitry within the memory control component receives first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command, and receives second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. | 1. A method of controlling a memory module having memory components disposed thereon, the method comprising:
outputting first and second memory read commands to the memory module at respective times; receiving first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command; and receiving second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. 2. The method of claim 1 further comprising outputting a maintenance command to the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components, the maintenance command instructing the at least one memory component to execute a maintenance operation during an interval that transpires concurrently with receiving the second read data from the second plurality of the memory components. 3. The method of claim 1 wherein outputting the first and second memory read commands to the memory module at respective times comprises outputting the first and second memory read commands to a dual inline memory module (DIMM) at respective times via a command/address path coupled in common to all the memory components included in the first and second pluralities. 4. The method of claim 1 wherein outputting the first and second memory read commands to the memory module at respective times comprises outputting the first and second memory read commands to first and second pluralities of nonvolatile memory components. 5. The method of claim 4 wherein the nonvolatile memory components comprise Flash memory components. 6. The method of claim 1 wherein outputting the first and second memory read commands to the memory module at respective times comprises, at a first time, outputting chip-select signals exclusively to the first plurality the components while outputting first command signals on a command signaling path coupled to each of the memory components of the first and second pluralities, and, at a second time outputting chip-select signals exclusively to the second plurality of the memory components while outputting second command signals on the command signaling path. 7. The method of claim 1 further comprising outputting a third memory read command to the memory module after outputting the first and second memory read commands, and receiving third read data from the third plurality of memory components via a third plurality of data paths, respectively, in response to the third memory read command, the third plurality of memory components including (i) at least one memory component not included in the first plurality of memory components and (ii) at least one other memory component not included in the second plurality of memory components. 8. The method of claim 1 wherein the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components comprises a first memory component of a virtual pair of components, and the at least one memory component included in the second plurality of the memory components but not included in the first plurality of the memory components comprises a second memory component of the virtual pair of components, the method further comprising copying data from the first memory component of the virtual pair to the second memory component of the virtual pair. 9. The method of claim 1 wherein outputting the first memory command to the memory module comprises receiving a request to read data from the memory module, obtaining a value that indicates the first plurality of memory components and outputting chip-select signals exclusively to the first plurality of the memory components. 10. The method of claim 9 wherein obtaining the value that indicates the first plurality of memory components comprises obtaining the value from a page table based at least in part on an address received in association with the request to read data. 11. A memory control component comprising:
control logic to output first and second memory read commands to a memory module at respective times, the memory module having memory components disposed thereon; and interface circuitry to receive (i) first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command, and (ii) second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. 12. The memory control component of claim 11 wherein the control logic to output first and second memory read commands to the memory module is further to output a maintenance command to the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components, the maintenance command instructing the at least one memory component to execute a maintenance operation during an interval that transpires concurrently with receiving the second read data from the second plurality of the memory components. 13. The memory control component of claim 11 wherein the control logic to output first and second memory read commands to a memory module outputs the first and second memory read commands to a dual inline memory module (DIMM) at respective times via a command/address path coupled in common to all the memory components included in the first and second pluralities. 14. The memory control component of claim 11 wherein the control logic to output the first and second memory read commands to the memory module at respective times comprises circuitry to output the first and second memory read commands to first and second pluralities of nonvolatile memory components. 15. The memory control component of claim 14 wherein the nonvolatile memory components comprise Flash memory components. 16. The memory control component of claim 11 wherein the control logic to output the first and second memory read commands to the memory module at respective times comprises circuitry to output, at a first time, chip-select signals exclusively to the first plurality the components while outputting first command signals on a command signaling path coupled to each of the memory components of the first and second pluralities, and to output, at a second time, chip-select signals exclusively to the second plurality of the memory components while outputting second command signals on the command signaling path. 17. The memory control component of claim 11 wherein the control logic to output the first and second memory read commands is additionally to output a third memory read command to the memory module after outputting the first and second memory read commands and to receive third read data from the third plurality of memory components via a third plurality of data paths, respectively, in response to the third memory read command, the third plurality of memory components including (i) at least one memory component not included in the first plurality of memory components and (ii) at least one other memory component not included in the second plurality of memory components. 18. The memory control component of claim 11 wherein the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components comprises a first memory component of a virtual pair of components, and the at least one memory component included in the second plurality of the memory components but not included in the first plurality of the memory components comprises a second memory component of the virtual pair of components, the control logic further comprising circuitry to copy data from the first memory component of the virtual pair to the second memory component of the virtual pair. 19. The memory control component of claim 11 wherein the control logic to output the first memory command to the memory module comprises circuitry to receive a request to read data from the memory module, obtain a value that indicates the first plurality of memory components from a page table based at least in part on an address received in association with the request to read data, and output chip-select signals exclusively to the first plurality of the memory components. 20. A memory control component comprising:
means for outputting first and second memory read commands to a memory module at respective times, the memory module having memory components disposed thereon; and means for receiving (i) first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command, and (ii) second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. | Control logic within a memory control component outputs first and second memory read commands to a memory module at respective times, the memory module having memory components disposed thereon. Interface circuitry within the memory control component receives first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command, and receives second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa.1. A method of controlling a memory module having memory components disposed thereon, the method comprising:
outputting first and second memory read commands to the memory module at respective times; receiving first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command; and receiving second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. 2. The method of claim 1 further comprising outputting a maintenance command to the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components, the maintenance command instructing the at least one memory component to execute a maintenance operation during an interval that transpires concurrently with receiving the second read data from the second plurality of the memory components. 3. The method of claim 1 wherein outputting the first and second memory read commands to the memory module at respective times comprises outputting the first and second memory read commands to a dual inline memory module (DIMM) at respective times via a command/address path coupled in common to all the memory components included in the first and second pluralities. 4. The method of claim 1 wherein outputting the first and second memory read commands to the memory module at respective times comprises outputting the first and second memory read commands to first and second pluralities of nonvolatile memory components. 5. The method of claim 4 wherein the nonvolatile memory components comprise Flash memory components. 6. The method of claim 1 wherein outputting the first and second memory read commands to the memory module at respective times comprises, at a first time, outputting chip-select signals exclusively to the first plurality the components while outputting first command signals on a command signaling path coupled to each of the memory components of the first and second pluralities, and, at a second time outputting chip-select signals exclusively to the second plurality of the memory components while outputting second command signals on the command signaling path. 7. The method of claim 1 further comprising outputting a third memory read command to the memory module after outputting the first and second memory read commands, and receiving third read data from the third plurality of memory components via a third plurality of data paths, respectively, in response to the third memory read command, the third plurality of memory components including (i) at least one memory component not included in the first plurality of memory components and (ii) at least one other memory component not included in the second plurality of memory components. 8. The method of claim 1 wherein the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components comprises a first memory component of a virtual pair of components, and the at least one memory component included in the second plurality of the memory components but not included in the first plurality of the memory components comprises a second memory component of the virtual pair of components, the method further comprising copying data from the first memory component of the virtual pair to the second memory component of the virtual pair. 9. The method of claim 1 wherein outputting the first memory command to the memory module comprises receiving a request to read data from the memory module, obtaining a value that indicates the first plurality of memory components and outputting chip-select signals exclusively to the first plurality of the memory components. 10. The method of claim 9 wherein obtaining the value that indicates the first plurality of memory components comprises obtaining the value from a page table based at least in part on an address received in association with the request to read data. 11. A memory control component comprising:
control logic to output first and second memory read commands to a memory module at respective times, the memory module having memory components disposed thereon; and interface circuitry to receive (i) first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command, and (ii) second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. 12. The memory control component of claim 11 wherein the control logic to output first and second memory read commands to the memory module is further to output a maintenance command to the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components, the maintenance command instructing the at least one memory component to execute a maintenance operation during an interval that transpires concurrently with receiving the second read data from the second plurality of the memory components. 13. The memory control component of claim 11 wherein the control logic to output first and second memory read commands to a memory module outputs the first and second memory read commands to a dual inline memory module (DIMM) at respective times via a command/address path coupled in common to all the memory components included in the first and second pluralities. 14. The memory control component of claim 11 wherein the control logic to output the first and second memory read commands to the memory module at respective times comprises circuitry to output the first and second memory read commands to first and second pluralities of nonvolatile memory components. 15. The memory control component of claim 14 wherein the nonvolatile memory components comprise Flash memory components. 16. The memory control component of claim 11 wherein the control logic to output the first and second memory read commands to the memory module at respective times comprises circuitry to output, at a first time, chip-select signals exclusively to the first plurality the components while outputting first command signals on a command signaling path coupled to each of the memory components of the first and second pluralities, and to output, at a second time, chip-select signals exclusively to the second plurality of the memory components while outputting second command signals on the command signaling path. 17. The memory control component of claim 11 wherein the control logic to output the first and second memory read commands is additionally to output a third memory read command to the memory module after outputting the first and second memory read commands and to receive third read data from the third plurality of memory components via a third plurality of data paths, respectively, in response to the third memory read command, the third plurality of memory components including (i) at least one memory component not included in the first plurality of memory components and (ii) at least one other memory component not included in the second plurality of memory components. 18. The memory control component of claim 11 wherein the at least one memory component included in the first plurality of the memory components but not included in the second plurality of the memory components comprises a first memory component of a virtual pair of components, and the at least one memory component included in the second plurality of the memory components but not included in the first plurality of the memory components comprises a second memory component of the virtual pair of components, the control logic further comprising circuitry to copy data from the first memory component of the virtual pair to the second memory component of the virtual pair. 19. The memory control component of claim 11 wherein the control logic to output the first memory command to the memory module comprises circuitry to receive a request to read data from the memory module, obtain a value that indicates the first plurality of memory components from a page table based at least in part on an address received in association with the request to read data, and output chip-select signals exclusively to the first plurality of the memory components. 20. A memory control component comprising:
means for outputting first and second memory read commands to a memory module at respective times, the memory module having memory components disposed thereon; and means for receiving (i) first read data concurrently from a first plurality of the memory components via a first plurality of data paths, respectively, in response to the first memory read command, and (ii) second read data concurrently from a second plurality of the memory components via a second plurality of data paths, respectively, in response to the second memory read command, the first plurality of the memory components including at least one memory component not included in the second plurality of the memory components and vice-versa. | 2,100 |
5,839 | 5,839 | 13,797,979 | 2,175 | An electronic device with a touch-sensitive display and one or more sensors displays an application interface on the display, detects an input that corresponds to a command to display a virtual keyboard in the application interface, detects one or more sensor inputs from the one or more sensors, and in response to detecting the input that corresponds to the command to display the virtual keyboard: in accordance with a determination that the sensor inputs satisfy one or more first criteria, displays the virtual keyboard as a split keyboard on the display; and in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displays the virtual keyboard as an unsplit keyboard on the display. | 1. An electronic device, comprising:
a touch-sensitive display; one or more sensors; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
displaying an application interface on the display;
detecting an input that corresponds to a command to display a virtual keyboard in the application interface;
detecting one or more sensor inputs from the one or more sensors;
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs satisfy one or more first criteria, displaying the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displaying the virtual keyboard as an unsplit keyboard on the display. 2. The device of claim 1, wherein the sensors include one or more of: one or more accelerometers, one or more gyroscopic sensors, one or more image sensors, one or more proximity sensors, and one or more touch-sensitive surfaces distinct from the touch-sensitive display. 3. The device of claim 2, wherein the one or more touch-sensitive surfaces are located on a backside of the device, opposite the touch-sensitive display. 4. The device of claim 1, wherein the first criteria include that the sensor inputs indicate the touch-sensitive display is oriented within a first predefined range of angles with respect to the ground. 5. The device of claim 1, wherein the first criteria include that the sensor inputs indicate the device is shaking by less than a predefined threshold amount. 6. The device of claim 1, wherein the first criteria include that the sensor inputs detect a face in front of the touch-sensitive display. 7. The device of claim 1, wherein the first criteria include that the sensor inputs indicate the device is being held by a user. 8. The device of claim 1, wherein the second criteria include that the sensor inputs indicate the touch-sensitive display is oriented within a second predefined range of angles with respect to the ground. 9. The device of claim 1, wherein the second criteria include that the sensor inputs indicate the device is shaking by more than a predefined threshold amount. 10. The device of claim 1, wherein the second criteria include that the sensor inputs do not detect a face in front of the touch-sensitive display. 11. The device of claim 1, wherein the second criteria include that the sensor inputs indicate the device is lying on a surface. 12. The device of claim 1, including instructions for:
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs do not satisfy the one or more first criteria and do not satisfy the one or more second criteria:
displaying the virtual keyboard as a split keyboard on the display if the split keyboard was the last keyboard displayed prior to detecting the input that corresponds to the command to display the virtual keyboard; and
displaying the virtual keyboard as an unsplit keyboard on the display if the unsplit keyboard was the last keyboard displayed prior to detecting the input that corresponds to the command to display the virtual keyboard. 13. The device of claim 1, including instructions for:
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs do not satisfy the one or more first criteria and do not satisfy the one or more second criteria:
displaying the virtual keyboard as a split keyboard on the display if the split keyboard was the last keyboard displayed in the application interface prior to detecting the input that corresponds to the command to display the virtual keyboard; and
displaying the virtual keyboard as an unsplit keyboard on the display if the unsplit keyboard was the last keyboard displayed in the application interface prior to detecting the input that corresponds to the command to display the virtual keyboard. 14. The device of claim 1, including instructions for:
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs do not satisfy the one or more first criteria and do not satisfy the one or more second criteria:
displaying the virtual keyboard as a split keyboard on the display if the split keyboard is a default keyboard; and
displaying the virtual keyboard as an unsplit keyboard on the display if the unsplit keyboard is the default keyboard. 15. The device of claim 1, wherein the split keyboard includes an unsplit keyboard selection key, the unsplit keyboard selection key configured to replace display of the split keyboard with display of the unsplit keyboard when activated. 16. The device of claim 15, including instructions for replacing the unsplit keyboard selection key with a keyboard dismissal key when a predefined condition is satisfied, the keyboard dismissal key configured to cease display of the split keyboard when activated. 17. The device of claim 16, wherein the predefined condition includes displaying the unsplit keyboard selection key for a predefined time. 18. The device of claim 1, wherein the unsplit keyboard includes a split keyboard selection key, the split keyboard selection key configured to replace display of the unsplit keyboard with display of the split keyboard when activated. 19. The device of claim 18, including instructions for replacing the split keyboard selection key with a keyboard dismissal key when a predefined condition is satisfied, the keyboard dismissal key configured to cease display of the unsplit keyboard when activated. 20. The device of claim 19, wherein the predefined condition includes displaying the split keyboard selection key for a predefined time. 21. A method, comprising:
at an electronic device with a touch-sensitive display and one or more sensors:
displaying an application interface on the display;
detecting an input that corresponds to a command to display a virtual keyboard in the application interface;
detecting one or more sensor inputs from the one or more sensors;
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs satisfy one or more first criteria, displaying the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displaying the virtual keyboard as an unsplit keyboard on the display. 22. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a touch-sensitive display and one or more sensors, cause the device to:
display an application interface on the display; detect an input that corresponds to a command to display a virtual keyboard in the application interface; detect one or more sensor inputs from the one or more sensors; in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs satisfy one or more first criteria, display the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, display the virtual keyboard as an unsplit keyboard on the display. 23. A graphical user interface on an electronic device with a touch-sensitive display and one or more sensors, a memory, and one or more processors to execute one or more programs stored in the memory, the graphical user interface comprising:
an application interface; wherein: in response to detection of an input that corresponds to a command to display a virtual keyboard in the application interface:
in accordance with a determination that one or more sensor inputs detected from the one or more sensors satisfy one or more first criteria, displaying the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displaying the virtual keyboard as an unsplit keyboard on the display. | An electronic device with a touch-sensitive display and one or more sensors displays an application interface on the display, detects an input that corresponds to a command to display a virtual keyboard in the application interface, detects one or more sensor inputs from the one or more sensors, and in response to detecting the input that corresponds to the command to display the virtual keyboard: in accordance with a determination that the sensor inputs satisfy one or more first criteria, displays the virtual keyboard as a split keyboard on the display; and in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displays the virtual keyboard as an unsplit keyboard on the display.1. An electronic device, comprising:
a touch-sensitive display; one or more sensors; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
displaying an application interface on the display;
detecting an input that corresponds to a command to display a virtual keyboard in the application interface;
detecting one or more sensor inputs from the one or more sensors;
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs satisfy one or more first criteria, displaying the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displaying the virtual keyboard as an unsplit keyboard on the display. 2. The device of claim 1, wherein the sensors include one or more of: one or more accelerometers, one or more gyroscopic sensors, one or more image sensors, one or more proximity sensors, and one or more touch-sensitive surfaces distinct from the touch-sensitive display. 3. The device of claim 2, wherein the one or more touch-sensitive surfaces are located on a backside of the device, opposite the touch-sensitive display. 4. The device of claim 1, wherein the first criteria include that the sensor inputs indicate the touch-sensitive display is oriented within a first predefined range of angles with respect to the ground. 5. The device of claim 1, wherein the first criteria include that the sensor inputs indicate the device is shaking by less than a predefined threshold amount. 6. The device of claim 1, wherein the first criteria include that the sensor inputs detect a face in front of the touch-sensitive display. 7. The device of claim 1, wherein the first criteria include that the sensor inputs indicate the device is being held by a user. 8. The device of claim 1, wherein the second criteria include that the sensor inputs indicate the touch-sensitive display is oriented within a second predefined range of angles with respect to the ground. 9. The device of claim 1, wherein the second criteria include that the sensor inputs indicate the device is shaking by more than a predefined threshold amount. 10. The device of claim 1, wherein the second criteria include that the sensor inputs do not detect a face in front of the touch-sensitive display. 11. The device of claim 1, wherein the second criteria include that the sensor inputs indicate the device is lying on a surface. 12. The device of claim 1, including instructions for:
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs do not satisfy the one or more first criteria and do not satisfy the one or more second criteria:
displaying the virtual keyboard as a split keyboard on the display if the split keyboard was the last keyboard displayed prior to detecting the input that corresponds to the command to display the virtual keyboard; and
displaying the virtual keyboard as an unsplit keyboard on the display if the unsplit keyboard was the last keyboard displayed prior to detecting the input that corresponds to the command to display the virtual keyboard. 13. The device of claim 1, including instructions for:
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs do not satisfy the one or more first criteria and do not satisfy the one or more second criteria:
displaying the virtual keyboard as a split keyboard on the display if the split keyboard was the last keyboard displayed in the application interface prior to detecting the input that corresponds to the command to display the virtual keyboard; and
displaying the virtual keyboard as an unsplit keyboard on the display if the unsplit keyboard was the last keyboard displayed in the application interface prior to detecting the input that corresponds to the command to display the virtual keyboard. 14. The device of claim 1, including instructions for:
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs do not satisfy the one or more first criteria and do not satisfy the one or more second criteria:
displaying the virtual keyboard as a split keyboard on the display if the split keyboard is a default keyboard; and
displaying the virtual keyboard as an unsplit keyboard on the display if the unsplit keyboard is the default keyboard. 15. The device of claim 1, wherein the split keyboard includes an unsplit keyboard selection key, the unsplit keyboard selection key configured to replace display of the split keyboard with display of the unsplit keyboard when activated. 16. The device of claim 15, including instructions for replacing the unsplit keyboard selection key with a keyboard dismissal key when a predefined condition is satisfied, the keyboard dismissal key configured to cease display of the split keyboard when activated. 17. The device of claim 16, wherein the predefined condition includes displaying the unsplit keyboard selection key for a predefined time. 18. The device of claim 1, wherein the unsplit keyboard includes a split keyboard selection key, the split keyboard selection key configured to replace display of the unsplit keyboard with display of the split keyboard when activated. 19. The device of claim 18, including instructions for replacing the split keyboard selection key with a keyboard dismissal key when a predefined condition is satisfied, the keyboard dismissal key configured to cease display of the unsplit keyboard when activated. 20. The device of claim 19, wherein the predefined condition includes displaying the split keyboard selection key for a predefined time. 21. A method, comprising:
at an electronic device with a touch-sensitive display and one or more sensors:
displaying an application interface on the display;
detecting an input that corresponds to a command to display a virtual keyboard in the application interface;
detecting one or more sensor inputs from the one or more sensors;
in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs satisfy one or more first criteria, displaying the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displaying the virtual keyboard as an unsplit keyboard on the display. 22. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a touch-sensitive display and one or more sensors, cause the device to:
display an application interface on the display; detect an input that corresponds to a command to display a virtual keyboard in the application interface; detect one or more sensor inputs from the one or more sensors; in response to detecting the input that corresponds to the command to display the virtual keyboard:
in accordance with a determination that the sensor inputs satisfy one or more first criteria, display the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, display the virtual keyboard as an unsplit keyboard on the display. 23. A graphical user interface on an electronic device with a touch-sensitive display and one or more sensors, a memory, and one or more processors to execute one or more programs stored in the memory, the graphical user interface comprising:
an application interface; wherein: in response to detection of an input that corresponds to a command to display a virtual keyboard in the application interface:
in accordance with a determination that one or more sensor inputs detected from the one or more sensors satisfy one or more first criteria, displaying the virtual keyboard as a split keyboard on the display; and
in accordance with a determination that the sensor inputs satisfy one or more second criteria, distinct from the first criteria, displaying the virtual keyboard as an unsplit keyboard on the display. | 2,100 |
5,840 | 5,840 | 15,087,149 | 2,119 | An on-premises device that works in conjunction with systems and methods to provide atmosphere control as a service. For example, an on-premises device that works in conjunction with a system and method may provide to, control and monitor air conditioning and/or heating at a premises as a service on e.g., a pay per use and/or subscription plan. In addition to or alternatively, an on-premises device that works in conjunction with a system and method may provide air quality and comfort to a premises as a service. | 1. A method of providing atmosphere control at a premises, said method comprising:
providing HVAC equipment to the premises; connecting the HVAC equipment to an on-premises control/monitoring device; and controlling the HVAC equipment via the on-premises control/monitoring device in accordance with a pay per use or subscription plan. 2. The method of claim 1, wherein the controlling step comprises providing a communication between the on-premises control/monitoring device and an off-premises device controlled by a service provider associated with the subscription plan. 3. The method of claim 2, wherein the communication is used by the service provider to determine whether the HVAC equipment is being controlled in accordance with the subscription plan. 4. The method of claim 1, wherein the HVAC equipment is adjusted to control a temperature within the premises. 5. The method of claim 1, wherein the HVAC equipment is adjusted to control air quality within the premises. 6. The method of claim 1, wherein the HVAC equipment is controlled to provide atmosphere control in one or more zones of the premises in accordance with a zone-based subscription plan. 7. The method of claim 1, wherein the subscription plan comprises a subscriber budget and the HVAC equipment is controlled such that the atmosphere control is adjusted to stay within the subscriber budget. 8. The method of claim 1, further comprising:
inputting, via the on-premises control/monitoring device, data from at least one sensor within the premises; and adjusting, via the on-premises control/monitoring device, the temperature and/or air quality within the premises based on the data from the at least one sensor. 9. The method of claim 8, wherein the adjusting step comprises controlling one of controllable vents, indoor air quality devices, or lights within the premises. 10. The method of claim 1, further comprising:
inputting, via the on-premises control/monitoring device, diagnostic data concerning the HVAC equipment; and transmitting, from the on-premises control/monitoring device, the diagnostic data to an off-premises device controlled by a service provider associated with the pay per use or subscription plan. 11. The method of claim 10, further comprising scheduling maintenance for the HVAC equipment based on the diagnostic data. 12. A system for providing atmosphere control at a premises, said system comprising:
an on-premises control/monitoring device connected to HVAC equipment provided at the premises; at least one sensor in communication with the on-premises control/monitoring device; and an off-premises computing device in communication with the on-premises control/monitoring device via a network, said off-premises computing device adapted to control the HVAC equipment via the on-premises control/monitoring device in accordance with a pay per use or subscription plan. 13. The system of claim 12, wherein the HVAC equipment is controlled to provide atmosphere control in one or more zones of the premises in accordance with a zone-based subscription plan. 14. The system of claim 12, wherein the HVAC equipment is adjusted to control a temperature and/or air quality within the premises. 15. The system of claim 12, wherein the HVAC equipment comprises a variable tonnage HVAC unit and a tonnage of the HVAC unit is adjusted to control a temperature and/or air quality within the premises. 16. The system of claim 12, wherein the on-premises control/monitoring device uses an input from the at least one sensor to adjust the temperature and/or air quality within the premises based on the data from the at least one sensor. 17. The system of claim 16, further comprising a controllable device within the premises, said controllable device being selected from the group consisting of controllable vents, indoor air quality devices, and lights. 18. The system of claim 17, wherein the on-premises control/monitoring device is adapted to adjusts the temperature and/or air quality within the premises by controlling the controllable device. 19. The system of claim 12, wherein the on-premises control/monitoring device is adapted to input diagnostic data from the HVAC equipment and transmit the diagnostic data to the off-premises computing device. 20. The system of claim 19, wherein the off-premises computing device is configured to schedule maintenance for the HVAC equipment based on the diagnostic data. | An on-premises device that works in conjunction with systems and methods to provide atmosphere control as a service. For example, an on-premises device that works in conjunction with a system and method may provide to, control and monitor air conditioning and/or heating at a premises as a service on e.g., a pay per use and/or subscription plan. In addition to or alternatively, an on-premises device that works in conjunction with a system and method may provide air quality and comfort to a premises as a service.1. A method of providing atmosphere control at a premises, said method comprising:
providing HVAC equipment to the premises; connecting the HVAC equipment to an on-premises control/monitoring device; and controlling the HVAC equipment via the on-premises control/monitoring device in accordance with a pay per use or subscription plan. 2. The method of claim 1, wherein the controlling step comprises providing a communication between the on-premises control/monitoring device and an off-premises device controlled by a service provider associated with the subscription plan. 3. The method of claim 2, wherein the communication is used by the service provider to determine whether the HVAC equipment is being controlled in accordance with the subscription plan. 4. The method of claim 1, wherein the HVAC equipment is adjusted to control a temperature within the premises. 5. The method of claim 1, wherein the HVAC equipment is adjusted to control air quality within the premises. 6. The method of claim 1, wherein the HVAC equipment is controlled to provide atmosphere control in one or more zones of the premises in accordance with a zone-based subscription plan. 7. The method of claim 1, wherein the subscription plan comprises a subscriber budget and the HVAC equipment is controlled such that the atmosphere control is adjusted to stay within the subscriber budget. 8. The method of claim 1, further comprising:
inputting, via the on-premises control/monitoring device, data from at least one sensor within the premises; and adjusting, via the on-premises control/monitoring device, the temperature and/or air quality within the premises based on the data from the at least one sensor. 9. The method of claim 8, wherein the adjusting step comprises controlling one of controllable vents, indoor air quality devices, or lights within the premises. 10. The method of claim 1, further comprising:
inputting, via the on-premises control/monitoring device, diagnostic data concerning the HVAC equipment; and transmitting, from the on-premises control/monitoring device, the diagnostic data to an off-premises device controlled by a service provider associated with the pay per use or subscription plan. 11. The method of claim 10, further comprising scheduling maintenance for the HVAC equipment based on the diagnostic data. 12. A system for providing atmosphere control at a premises, said system comprising:
an on-premises control/monitoring device connected to HVAC equipment provided at the premises; at least one sensor in communication with the on-premises control/monitoring device; and an off-premises computing device in communication with the on-premises control/monitoring device via a network, said off-premises computing device adapted to control the HVAC equipment via the on-premises control/monitoring device in accordance with a pay per use or subscription plan. 13. The system of claim 12, wherein the HVAC equipment is controlled to provide atmosphere control in one or more zones of the premises in accordance with a zone-based subscription plan. 14. The system of claim 12, wherein the HVAC equipment is adjusted to control a temperature and/or air quality within the premises. 15. The system of claim 12, wherein the HVAC equipment comprises a variable tonnage HVAC unit and a tonnage of the HVAC unit is adjusted to control a temperature and/or air quality within the premises. 16. The system of claim 12, wherein the on-premises control/monitoring device uses an input from the at least one sensor to adjust the temperature and/or air quality within the premises based on the data from the at least one sensor. 17. The system of claim 16, further comprising a controllable device within the premises, said controllable device being selected from the group consisting of controllable vents, indoor air quality devices, and lights. 18. The system of claim 17, wherein the on-premises control/monitoring device is adapted to adjusts the temperature and/or air quality within the premises by controlling the controllable device. 19. The system of claim 12, wherein the on-premises control/monitoring device is adapted to input diagnostic data from the HVAC equipment and transmit the diagnostic data to the off-premises computing device. 20. The system of claim 19, wherein the off-premises computing device is configured to schedule maintenance for the HVAC equipment based on the diagnostic data. | 2,100 |
5,841 | 5,841 | 14,111,220 | 2,116 | A method controls the power generation of at least one power output device. A control device that is associated with the power output device is connected via a unidirectional or bidirectional communication link to a central device that monitors a power distribution system. Regular or irregular checks on whether the communication link is interrupted or the transmission quality of the communication link is below a prescribed minimum quality value are performed. The supply of power from the at least one power output device to the power distribution system is reduced or stopped by the control device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. | 1-12. (canceled) 13. A method for controlling power generation by at least one power output device, which comprises the steps of:
connecting a control device assigned to the power output device to a central device monitoring a power distribution system via a communication link selected from the group consisting of a unidirectional communication link and a bidirectional communication link; performing regular or irregular checks as to whether the communication link is interrupted or a transmission quality of the communication link is below a prescribed minimum quality value; and reducing or stopping a supply of power of the at least one power output device into the power distribution network via the control device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value, the central device controls the control device and thus indirectly the supply of the power of the power output device, provided the communication link exists or the transmission quality of the communication link reaches or exceeds the prescribed minimum quality value. 14. The method according to claim 13, which further comprises selecting the power output device from the group consisting of a power generation device and a power storage device. 15. The method according to claim 14, which further comprises reducing or stopping, via the control device, a power generation of the power generation device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. 16. The method according to claim 13, which further comprises diverting, via the control device, the power of the at least one power output device being at least one power generation device entirely or in part into a power storage device and storing the power in the power storage device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. 17. The method according to claim 14, which further comprises connecting a connectable power consumption device to the at least one power generation device, the control device connects the connectable power consumption device and consumes the power of the power generation device entirely or in part with the connectable power consumption device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. 18. The method according to claim 13, wherein the central device increases, reduces or stops an electrical supply of power of at least one further power output device which is different from the power output device in respect of which an interruption of the communication link or a reduction of the transmission quality below the prescribed minimum quality value has been recognized and/or throttles or switches off electrical power consumption of a power consumption device connected to another distribution system area. 19. A configuration, comprising:
at least one power output device for generating power; a control device assigned to said at least one power output device and controlling a feeding of the power of said power output device into a power distribution network; a communication link selected from the group consisting of a unidirectional communication link and a bidirectional communication link; a central device connected to said control device via said communication link; said control device reducing or stopping a supply of the power into the power distribution system by said at least one power output device if said communication link is interrupted or a transmission quality of said communication link is below a prescribed minimum quality value; and said control device and thus indirectly a supply of the power of said power output device is able to be controlled via said communication link, provided said communication link exists or the transmission quality of said communication link reaches or exceeds the prescribed minimum quality value. 20. The configuration according to claim 19, wherein:
said power output device is a power generation device; and said control device reduces or stops power generation of said power generation device if said communication link is interrupted or the transmission quality of said communication link is below the prescribed minimum quality value. 21. The configuration according to claim 19,
wherein said power output device is a power generation device; further comprising a power storage device; and wherein said control device diverts the power of said power generation device entirely or in part into said power storage device if said communication link is interrupted or the transmission quality of said communication link is below the prescribed minimum quality value. 22. The configuration according to claim 19,
further comprising a connectable power consumption device; and wherein said control device connects said connectable power consumption device to said at least one power output device and consumes the power of said at least one power output device entirely or in part with said power consumption device if said communication link is interrupted or the transmission quality of said communication link is below the prescribed minimum quality value. 23. The configuration according to claim 19, wherein the power distribution system is a low voltage distribution system. | A method controls the power generation of at least one power output device. A control device that is associated with the power output device is connected via a unidirectional or bidirectional communication link to a central device that monitors a power distribution system. Regular or irregular checks on whether the communication link is interrupted or the transmission quality of the communication link is below a prescribed minimum quality value are performed. The supply of power from the at least one power output device to the power distribution system is reduced or stopped by the control device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value.1-12. (canceled) 13. A method for controlling power generation by at least one power output device, which comprises the steps of:
connecting a control device assigned to the power output device to a central device monitoring a power distribution system via a communication link selected from the group consisting of a unidirectional communication link and a bidirectional communication link; performing regular or irregular checks as to whether the communication link is interrupted or a transmission quality of the communication link is below a prescribed minimum quality value; and reducing or stopping a supply of power of the at least one power output device into the power distribution network via the control device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value, the central device controls the control device and thus indirectly the supply of the power of the power output device, provided the communication link exists or the transmission quality of the communication link reaches or exceeds the prescribed minimum quality value. 14. The method according to claim 13, which further comprises selecting the power output device from the group consisting of a power generation device and a power storage device. 15. The method according to claim 14, which further comprises reducing or stopping, via the control device, a power generation of the power generation device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. 16. The method according to claim 13, which further comprises diverting, via the control device, the power of the at least one power output device being at least one power generation device entirely or in part into a power storage device and storing the power in the power storage device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. 17. The method according to claim 14, which further comprises connecting a connectable power consumption device to the at least one power generation device, the control device connects the connectable power consumption device and consumes the power of the power generation device entirely or in part with the connectable power consumption device if the communication link is interrupted or the transmission quality of the communication link is below the prescribed minimum quality value. 18. The method according to claim 13, wherein the central device increases, reduces or stops an electrical supply of power of at least one further power output device which is different from the power output device in respect of which an interruption of the communication link or a reduction of the transmission quality below the prescribed minimum quality value has been recognized and/or throttles or switches off electrical power consumption of a power consumption device connected to another distribution system area. 19. A configuration, comprising:
at least one power output device for generating power; a control device assigned to said at least one power output device and controlling a feeding of the power of said power output device into a power distribution network; a communication link selected from the group consisting of a unidirectional communication link and a bidirectional communication link; a central device connected to said control device via said communication link; said control device reducing or stopping a supply of the power into the power distribution system by said at least one power output device if said communication link is interrupted or a transmission quality of said communication link is below a prescribed minimum quality value; and said control device and thus indirectly a supply of the power of said power output device is able to be controlled via said communication link, provided said communication link exists or the transmission quality of said communication link reaches or exceeds the prescribed minimum quality value. 20. The configuration according to claim 19, wherein:
said power output device is a power generation device; and said control device reduces or stops power generation of said power generation device if said communication link is interrupted or the transmission quality of said communication link is below the prescribed minimum quality value. 21. The configuration according to claim 19,
wherein said power output device is a power generation device; further comprising a power storage device; and wherein said control device diverts the power of said power generation device entirely or in part into said power storage device if said communication link is interrupted or the transmission quality of said communication link is below the prescribed minimum quality value. 22. The configuration according to claim 19,
further comprising a connectable power consumption device; and wherein said control device connects said connectable power consumption device to said at least one power output device and consumes the power of said at least one power output device entirely or in part with said power consumption device if said communication link is interrupted or the transmission quality of said communication link is below the prescribed minimum quality value. 23. The configuration according to claim 19, wherein the power distribution system is a low voltage distribution system. | 2,100 |
5,842 | 5,842 | 12,907,311 | 2,145 | A method for providing an automatically reconfigurable input interface includes analyzing input received through an input interface of the computing device, determining a context based on the input; and reconfiguring the input interface to comprise a key based on a domain associated with the context. A computing system for providing automatic reconfiguration of an input interface includes a processor and a memory communicatively coupled to the processor. The processor is configured to analyze input received through an input interface of a computing device, determine a context based on the input, and reconfigure the input interface to comprise a key based on a domain associated with the context. | 1. A method for automatically reconfiguring an input interface, the method comprising:
with a physical computing device, analyzing input received through an input interface of said computing device; with said physical computing device, determining a context based on said input; and with said physical computing device, reconfiguring said input interface to comprise a key based on a domain associated with said context. 2. The method of claim 1, wherein said context is a category of document selected from among a number of predetermined document categories. 3. The method of claim 2, wherein said domain is a group of words selected from a number of databases based on said context. 4. The method of claim 3, wherein said number of databases comprises a database that includes input previously entered by a user of said physical computing device that is sorted according to said predetermined document categories. 5. The method of claim 1, wherein said domain is a group of words associated with a particular topic. 6. The method of claim 1, further comprising, generating a layout of said input interface comprising said key based on parameters of said computing device. 7. The method of claim 1, wherein said key invokes a widget. 8. The method of claim 1, in which said key comprises a drop down menu. 9. A computing system comprising:
a processor; and a memory communicatively coupled to said processor; in which said processor is configured to:
analyze input received through an input interface of a computing device;
determine a context based on said input; and
reconfigure said input interface to comprise a key based on a domain associated with said context. 10. The system of claim 9, wherein said context is a category of document selected from among a number of predetermined document categories. 11. The system of claim 10, wherein said domain is a group of words selected from a number of databases based on said context. 12. The method of claim 9, wherein said domain is a group of words associated with a particular topic that corresponds to said context. 13. The system of claim 9, in which said input interface further comprises a key based on input history of said device. 14. The system of claim 9, in which analyzing said input received through said input interface comprises using a Natural Language Processing (NLP) monitor. 15. The system of claim 9, in which said computing system comprises a mobile device. 16. The system of claim 9, in which said key comprises a drop down menu. 17. A computer program product for providing an automatically reconfigurable context based input interface, said computer program product comprising:
a computer readable storage medium having computer readable code embodied therewith, said computer readable program code comprising:
computer readable program code configured to analyze input received through an input interface of a computing device;
computer readable program code configured to determine a context based on said input; and
computer readable program code configured to reconfigure said input interface to include a key based on a domain associated with said context. 18. The computer program product of claim 17, wherein:
said context is a category of document selected from among a number of predetermined document categories; and said domain is a group of words selected from a number of databases based on said context. 19. The computer program product of claim 17, wherein said domain is a group of words associated with a particular topic. 20. The system of claim 9, in which said key comprises one of a widget and a drop down menu. | A method for providing an automatically reconfigurable input interface includes analyzing input received through an input interface of the computing device, determining a context based on the input; and reconfiguring the input interface to comprise a key based on a domain associated with the context. A computing system for providing automatic reconfiguration of an input interface includes a processor and a memory communicatively coupled to the processor. The processor is configured to analyze input received through an input interface of a computing device, determine a context based on the input, and reconfigure the input interface to comprise a key based on a domain associated with the context.1. A method for automatically reconfiguring an input interface, the method comprising:
with a physical computing device, analyzing input received through an input interface of said computing device; with said physical computing device, determining a context based on said input; and with said physical computing device, reconfiguring said input interface to comprise a key based on a domain associated with said context. 2. The method of claim 1, wherein said context is a category of document selected from among a number of predetermined document categories. 3. The method of claim 2, wherein said domain is a group of words selected from a number of databases based on said context. 4. The method of claim 3, wherein said number of databases comprises a database that includes input previously entered by a user of said physical computing device that is sorted according to said predetermined document categories. 5. The method of claim 1, wherein said domain is a group of words associated with a particular topic. 6. The method of claim 1, further comprising, generating a layout of said input interface comprising said key based on parameters of said computing device. 7. The method of claim 1, wherein said key invokes a widget. 8. The method of claim 1, in which said key comprises a drop down menu. 9. A computing system comprising:
a processor; and a memory communicatively coupled to said processor; in which said processor is configured to:
analyze input received through an input interface of a computing device;
determine a context based on said input; and
reconfigure said input interface to comprise a key based on a domain associated with said context. 10. The system of claim 9, wherein said context is a category of document selected from among a number of predetermined document categories. 11. The system of claim 10, wherein said domain is a group of words selected from a number of databases based on said context. 12. The method of claim 9, wherein said domain is a group of words associated with a particular topic that corresponds to said context. 13. The system of claim 9, in which said input interface further comprises a key based on input history of said device. 14. The system of claim 9, in which analyzing said input received through said input interface comprises using a Natural Language Processing (NLP) monitor. 15. The system of claim 9, in which said computing system comprises a mobile device. 16. The system of claim 9, in which said key comprises a drop down menu. 17. A computer program product for providing an automatically reconfigurable context based input interface, said computer program product comprising:
a computer readable storage medium having computer readable code embodied therewith, said computer readable program code comprising:
computer readable program code configured to analyze input received through an input interface of a computing device;
computer readable program code configured to determine a context based on said input; and
computer readable program code configured to reconfigure said input interface to include a key based on a domain associated with said context. 18. The computer program product of claim 17, wherein:
said context is a category of document selected from among a number of predetermined document categories; and said domain is a group of words selected from a number of databases based on said context. 19. The computer program product of claim 17, wherein said domain is a group of words associated with a particular topic. 20. The system of claim 9, in which said key comprises one of a widget and a drop down menu. | 2,100 |
5,843 | 5,843 | 13,770,198 | 2,158 | Systems and methods for ranking a plurality of documents based on user activity are disclosed. A method includes receiving first user activity data and second user activity data. A first user activity point value is associated with the first user activity. A second user activity point value is associated with the second user activity. The method further includes identifying a first data item based on the first user activity data, identifying a second data item based on the second user activity data, updating a first score of the first data item based on the first user activity point value, updating a second score of the second data item based on the second user activity point value, identifying the plurality of documents based on the first data item and the second data item, and ranking the plurality of documents based on the first score and the second score. | 1. A method for ranking a plurality of documents based on user activity, the method comprising:
receiving, automatically by a computer, first user activity data indicative of a first user activity and second user activity data indicative of a second user activity, wherein a first user activity point value is associated with the first user activity and a second user activity point value is associated with the second user activity; identifying a first data item based on the first user activity data; identifying a second data item based on the second user activity data; updating a first score of the first data item based on the first user activity point value; updating a second score of the second data item based on the second user activity point value; identifying the plurality of documents based on the first data item and the second data item; and ranking the plurality of documents based on the first score and the second score. 2. The method of claim 1, further comprising identifying a user objective based on the first user activity data, wherein the plurality of documents is identified based on the identified user objective. 3. The method of claim 1, further comprising identifying metadata associated with the first user activity, wherein the plurality of documents are identified based on the identified metadata. 4. The method of claim 1, wherein the plurality of documents are a plurality of legal documents. 5. The method of claim 1, further comprising:
receiving third user activity data indicative of a third user activity, wherein a third user activity point value is associated with the third user activity; and updating the first score of the first data item based on the third user activity point value. 6. The method of claim 1, wherein the first user activity is viewing a legal document, viewing a related document, viewing a Shepard's report, a legal search, a Shepard's search, viewing a legal issue trail, downloading a document, printing a document, e-mailing a document, faxing a document, flagging a document, copying text from a document, or clicking a hyperlink within a document. 7. The method of claim 1, wherein the first user activity point value is based on a probativeness of the first user activity, such that the first user activity point value is higher for a higher probativeness first user activity than for a lower probativeness first user activity. 8. The method of claim 1, wherein the first user activity is a search including at least one search term, and wherein the first data item is based on the at least one search term. 9. The method of claim 8, wherein the updated first score is based on a number of identified search results. 10. The method of claim 8, wherein the first data item is: the at least one search term, a headnote containing the at least one search term, or a reasons for citation containing the at least one search term. 11. The method of claim 1, wherein the first score of the first data item is updated based on the first user activity point value by adding the first user activity point value to the first score. 12. The method of claim 1, wherein the first score of the first data item is updated based on the first user activity point value by adding a multiple or fraction of the first user activity point value to the first score. 13. The method of claim 1, wherein the first score is based on a frequency of the first data item within a document. 14. The method of claim 1, further comprising:
receiving a plurality of additional user activity data indicative of a plurality of additional user activities, wherein each user activity has an associated user activity point value; summing the first user activity point value, the second user activity point value, and the associated user activity point values to obtain an aggregate user activity point value; and determining whether the aggregate user activity point value exceeds an activation threshold, wherein the plurality of documents is identified when the aggregate user activity point value exceeds the activation threshold. 15. A method for ranking a plurality of documents based on user activity, the method comprising:
receiving, automatically by a computer, first user activity data indicative of a first user activity and second user activity data indicative of a second user activity, wherein a first user activity point value is associated with the first user activity and a second user activity point value is associated with the second user activity; identifying a first data item based on the first user activity data; identifying a second data item based on the second user activity data; updating a first score of the first data item based on the first user activity point value; updating a second score of the second data item based on the second user activity point value; identifying a user objective based on the first user activity data; identifying the plurality of documents based on the first data item, the second data item, and the identified user objective; and ranking the plurality of documents based on the first score and the second score. 16. The method of claim 15, wherein the first user activity point value is based on a probativeness of the first user activity, such that the first user activity point value is higher for a higher probativeness first user activity than for a lower probativeness first user activity. 17. The method of claim 15, further comprising identifying metadata associated with the first user activity, wherein the plurality of documents is identified based on the identified metadata. 18. A system for ranking a plurality of documents based on user activity, the system comprising:
a computing device that comprises a non-transitory memory component that stores a set of executable instructions that causes the computing device to:
receive first user activity data indicative of a first user activity and second user activity data indicative of a second user activity, wherein a first user activity point value is associated with the first user activity and a second user activity point value is associated with the second user activity;
identify a first data item based on the first user activity data;
identify a second data item based on the second user activity data;
update a first score of the first data item based on the first user activity point value;
update a second score of the second data item based on the second user activity point value;
identify the plurality of documents based on the first data item and the second data item; and
rank the plurality of documents based on the first score and the second score. 19. The system of claim 18, wherein the set of executable instructions further causes the computing device to identify a user objective based on the first user activity data, wherein the plurality of documents is identified based on the identified user objective. 20. The system of claim 18, wherein the set of executable instructions further causes the computing device to identify metadata associated with the first user activity, wherein the plurality of documents is identified based on the identified metadata. | Systems and methods for ranking a plurality of documents based on user activity are disclosed. A method includes receiving first user activity data and second user activity data. A first user activity point value is associated with the first user activity. A second user activity point value is associated with the second user activity. The method further includes identifying a first data item based on the first user activity data, identifying a second data item based on the second user activity data, updating a first score of the first data item based on the first user activity point value, updating a second score of the second data item based on the second user activity point value, identifying the plurality of documents based on the first data item and the second data item, and ranking the plurality of documents based on the first score and the second score.1. A method for ranking a plurality of documents based on user activity, the method comprising:
receiving, automatically by a computer, first user activity data indicative of a first user activity and second user activity data indicative of a second user activity, wherein a first user activity point value is associated with the first user activity and a second user activity point value is associated with the second user activity; identifying a first data item based on the first user activity data; identifying a second data item based on the second user activity data; updating a first score of the first data item based on the first user activity point value; updating a second score of the second data item based on the second user activity point value; identifying the plurality of documents based on the first data item and the second data item; and ranking the plurality of documents based on the first score and the second score. 2. The method of claim 1, further comprising identifying a user objective based on the first user activity data, wherein the plurality of documents is identified based on the identified user objective. 3. The method of claim 1, further comprising identifying metadata associated with the first user activity, wherein the plurality of documents are identified based on the identified metadata. 4. The method of claim 1, wherein the plurality of documents are a plurality of legal documents. 5. The method of claim 1, further comprising:
receiving third user activity data indicative of a third user activity, wherein a third user activity point value is associated with the third user activity; and updating the first score of the first data item based on the third user activity point value. 6. The method of claim 1, wherein the first user activity is viewing a legal document, viewing a related document, viewing a Shepard's report, a legal search, a Shepard's search, viewing a legal issue trail, downloading a document, printing a document, e-mailing a document, faxing a document, flagging a document, copying text from a document, or clicking a hyperlink within a document. 7. The method of claim 1, wherein the first user activity point value is based on a probativeness of the first user activity, such that the first user activity point value is higher for a higher probativeness first user activity than for a lower probativeness first user activity. 8. The method of claim 1, wherein the first user activity is a search including at least one search term, and wherein the first data item is based on the at least one search term. 9. The method of claim 8, wherein the updated first score is based on a number of identified search results. 10. The method of claim 8, wherein the first data item is: the at least one search term, a headnote containing the at least one search term, or a reasons for citation containing the at least one search term. 11. The method of claim 1, wherein the first score of the first data item is updated based on the first user activity point value by adding the first user activity point value to the first score. 12. The method of claim 1, wherein the first score of the first data item is updated based on the first user activity point value by adding a multiple or fraction of the first user activity point value to the first score. 13. The method of claim 1, wherein the first score is based on a frequency of the first data item within a document. 14. The method of claim 1, further comprising:
receiving a plurality of additional user activity data indicative of a plurality of additional user activities, wherein each user activity has an associated user activity point value; summing the first user activity point value, the second user activity point value, and the associated user activity point values to obtain an aggregate user activity point value; and determining whether the aggregate user activity point value exceeds an activation threshold, wherein the plurality of documents is identified when the aggregate user activity point value exceeds the activation threshold. 15. A method for ranking a plurality of documents based on user activity, the method comprising:
receiving, automatically by a computer, first user activity data indicative of a first user activity and second user activity data indicative of a second user activity, wherein a first user activity point value is associated with the first user activity and a second user activity point value is associated with the second user activity; identifying a first data item based on the first user activity data; identifying a second data item based on the second user activity data; updating a first score of the first data item based on the first user activity point value; updating a second score of the second data item based on the second user activity point value; identifying a user objective based on the first user activity data; identifying the plurality of documents based on the first data item, the second data item, and the identified user objective; and ranking the plurality of documents based on the first score and the second score. 16. The method of claim 15, wherein the first user activity point value is based on a probativeness of the first user activity, such that the first user activity point value is higher for a higher probativeness first user activity than for a lower probativeness first user activity. 17. The method of claim 15, further comprising identifying metadata associated with the first user activity, wherein the plurality of documents is identified based on the identified metadata. 18. A system for ranking a plurality of documents based on user activity, the system comprising:
a computing device that comprises a non-transitory memory component that stores a set of executable instructions that causes the computing device to:
receive first user activity data indicative of a first user activity and second user activity data indicative of a second user activity, wherein a first user activity point value is associated with the first user activity and a second user activity point value is associated with the second user activity;
identify a first data item based on the first user activity data;
identify a second data item based on the second user activity data;
update a first score of the first data item based on the first user activity point value;
update a second score of the second data item based on the second user activity point value;
identify the plurality of documents based on the first data item and the second data item; and
rank the plurality of documents based on the first score and the second score. 19. The system of claim 18, wherein the set of executable instructions further causes the computing device to identify a user objective based on the first user activity data, wherein the plurality of documents is identified based on the identified user objective. 20. The system of claim 18, wherein the set of executable instructions further causes the computing device to identify metadata associated with the first user activity, wherein the plurality of documents is identified based on the identified metadata. | 2,100 |
5,844 | 5,844 | 13,196,990 | 2,143 | One exemplary aspect is a blackout feature that can be used in connection with touchscreen devices to hide selected data in a shared display environment. An exemplary embodiment may be provided as a service running in the background or on a touchscreen device. A service may pop-up in response to the initiation of a collaboration session or entry of the device into a data transfer or sharing environment to prompt the user as to handle they would like to handle the shared information, e.g., “hide” sensitive information. Another exemplary aspect can display data in a constellation fashion. For example, data included in a file or data set to be shared is displayed by the touchscreen device. The user can then run their finger over the data that the user does not wish to share. The selected data/information can then be prevented from delivery to and/or display on the collaborating device(s). | 1. A method for restricting the dissemination of information comprising:
detecting, by at least a processor, that sensitive information should be one or more of hidden, obfuscated or replaced; and when a display on a device is shown to a party whom should not see the sensitive information, performing one or more of hiding, obfuscating or replacing the sensitive information. 2. The method of claim 1, further comprising reading a tag associated with the sensitive information. 3. The method of claim 1, further comprising reconfiguring information other than the sensitive information. 4. The method of claim 1, further comprising associating a tag with the sensitive information. 5. The method of claim 1, wherein the device has multiple displays. 6. The method of claim 1, further comprising detecting when the device is handed to the party. 7. The method of claim 1, further comprising detecting a collaborative communication session. 8. The method of claim 1, further comprising reconfiguring information other than the sensitive information, wherein the reconfiguring includes one or more of resizing, centering, reformatting and reorganizing. 9. The method of claim 1, further comprising:
establishing one or more hierarchal levels, each hierarchal level having a preconfigured policy that governs the display of information, one or more individuals being assignable to the one or more hierarchal levels; and reading one or more rules and performing one or more of the hiding, obfuscating or replacing of the sensitive information. 10. A non-transitory computer-readable information storage media having instructions stored thereon that when executed by a processor are adapted to perform the steps of claim 1. 11. A system that restricts the dissemination of information comprising:
an obfuscation module that detects that sensitive information should be one or more of hidden, obfuscated or replaced; and when a display on a device is shown to a party whom should not see the sensitive information, the obfuscation module performs one or more of hiding, obfuscating or replacing of the sensitive information. 12. The system of claim 11, wherein a tag associated with the sensitive information is read. 13. The system of claim 11, further comprising a reconfiguration module that reconfigures information other than the sensitive information. 14. The system of claim 11, further comprising a processor that associates a tag with the sensitive information. 15. The system of claim 11, wherein the device has multiple displays. 16. The system of claim 11, further comprising a collaboration detection module that detects when the device is handed to the party. 17. The system of claim 11, further comprising a collaboration detection module that detects a collaborative communication session. 18. The system of claim 11, further comprising a reconfiguration module that reconfigures information other than the sensitive information, wherein the reconfiguring includes one or more of resizing, centering, reformatting and reorganizing. 19. The system of claim 11, further comprising:
a memory which stores:
one or more hierarchal levels, each hierarchal level having a preconfigured policy that governs the display of information, one or more individuals being assignable to the one or more hierarchal levels; and
one or more rules that control one or more of the hiding, obfuscating or replacing of the sensitive information. 20. The system of claim 11, wherein the sensitive information is one or more of textual information, voice information, video information, graphical information, data, misleading information and cover-up information. | One exemplary aspect is a blackout feature that can be used in connection with touchscreen devices to hide selected data in a shared display environment. An exemplary embodiment may be provided as a service running in the background or on a touchscreen device. A service may pop-up in response to the initiation of a collaboration session or entry of the device into a data transfer or sharing environment to prompt the user as to handle they would like to handle the shared information, e.g., “hide” sensitive information. Another exemplary aspect can display data in a constellation fashion. For example, data included in a file or data set to be shared is displayed by the touchscreen device. The user can then run their finger over the data that the user does not wish to share. The selected data/information can then be prevented from delivery to and/or display on the collaborating device(s).1. A method for restricting the dissemination of information comprising:
detecting, by at least a processor, that sensitive information should be one or more of hidden, obfuscated or replaced; and when a display on a device is shown to a party whom should not see the sensitive information, performing one or more of hiding, obfuscating or replacing the sensitive information. 2. The method of claim 1, further comprising reading a tag associated with the sensitive information. 3. The method of claim 1, further comprising reconfiguring information other than the sensitive information. 4. The method of claim 1, further comprising associating a tag with the sensitive information. 5. The method of claim 1, wherein the device has multiple displays. 6. The method of claim 1, further comprising detecting when the device is handed to the party. 7. The method of claim 1, further comprising detecting a collaborative communication session. 8. The method of claim 1, further comprising reconfiguring information other than the sensitive information, wherein the reconfiguring includes one or more of resizing, centering, reformatting and reorganizing. 9. The method of claim 1, further comprising:
establishing one or more hierarchal levels, each hierarchal level having a preconfigured policy that governs the display of information, one or more individuals being assignable to the one or more hierarchal levels; and reading one or more rules and performing one or more of the hiding, obfuscating or replacing of the sensitive information. 10. A non-transitory computer-readable information storage media having instructions stored thereon that when executed by a processor are adapted to perform the steps of claim 1. 11. A system that restricts the dissemination of information comprising:
an obfuscation module that detects that sensitive information should be one or more of hidden, obfuscated or replaced; and when a display on a device is shown to a party whom should not see the sensitive information, the obfuscation module performs one or more of hiding, obfuscating or replacing of the sensitive information. 12. The system of claim 11, wherein a tag associated with the sensitive information is read. 13. The system of claim 11, further comprising a reconfiguration module that reconfigures information other than the sensitive information. 14. The system of claim 11, further comprising a processor that associates a tag with the sensitive information. 15. The system of claim 11, wherein the device has multiple displays. 16. The system of claim 11, further comprising a collaboration detection module that detects when the device is handed to the party. 17. The system of claim 11, further comprising a collaboration detection module that detects a collaborative communication session. 18. The system of claim 11, further comprising a reconfiguration module that reconfigures information other than the sensitive information, wherein the reconfiguring includes one or more of resizing, centering, reformatting and reorganizing. 19. The system of claim 11, further comprising:
a memory which stores:
one or more hierarchal levels, each hierarchal level having a preconfigured policy that governs the display of information, one or more individuals being assignable to the one or more hierarchal levels; and
one or more rules that control one or more of the hiding, obfuscating or replacing of the sensitive information. 20. The system of claim 11, wherein the sensitive information is one or more of textual information, voice information, video information, graphical information, data, misleading information and cover-up information. | 2,100 |
5,845 | 5,845 | 14,663,077 | 2,119 | A control technique controls a process in a manner that reduces the number of controller changes provided to a controlled device, and so reduces the power consumption of the controlled device along with the loading of a process control communications network disposed between the controller and the controlled device. This technique is very useful in a control system having wirelessly connected field devices, such as sensors and valves which, in many cases, operate off of battery power. Moreover, the control technique is useful in implementing a control system in which control signals are subject to intermittent, non-synchronized or significantly delayed communications and/or in a control system that receives intermittent, non-synchronized or significantly delayed process variable measurements to be used as feedback signals in the performance of closed-loop control. | 1. A method of controlling a controlled device within a process using a control signal, comprising:
implementing, on a process controller computing device, multiple iterations of a control routine to generate, during each of the multiple iterations, a control signal value for controlling the controlled device; and implementing a communications routine within a computer processing device coupled to the process controller computing device including, during each of a multiplicity of iterations of the control routine,
determining if a minimum predetermined communication time period has passed, and
determining if an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal;
and, at least when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal, determining if a further signaling condition is met; and
sending a new control signal to the controlled device via a communications link only when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal and when the further signaling condition is met. 2. The method of claim 1, wherein determining if the further signaling condition is met includes determining if the difference between the control signal value generated for a control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value. 3. The method of claim 1, wherein determining if the further signaling condition is met includes determining if the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 4. The method of claim 1, wherein determining if the further signaling condition is met includes determining if either the difference between the control signal value generated for a control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value or the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 5. The method of claim 1, wherein implementing the communications routine within a computer processing device coupled to the process controller computing device includes implementing the communications routine during each of a multiplicity of consecutive iterations of the control routine. 6. The method of claim 1, wherein sending a new control signal to the controlled device via a communications link includes determining if the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a maximum change threshold value and sending the new control signal as a limited version of the control signal value for the control routine iteration when the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than the maximum change threshold value. 7. The method of claim 1, wherein sending the new control signal to the controlled device via a communications link includes sending the new control signal to the controlled device via a wireless communications link. 8. The method of claim 1, wherein sending the new control signal to the controlled device via a communications link includes sending the new control signal to the controlled device via a wired communications link. 9. The method of claim 1, wherein sending the new control signal to the controlled device via a communications link includes sending the new control signal as a new control signal value and a time to implement the new control signal value at the controlled device. 10. The method of claim 9, wherein sending the time to implement the new control signal value includes sending the time as an offset time. 11. The method of claim 9, wherein sending the time to implement the new control signal value includes sending the time as an absolute time. 12. The method of claim 1, wherein implementing, on a process controller computing device, multiple iterations of a control routine includes implementing a proportional, integral, derivative type control routine. 13. The method of claim 12, wherein implementing the proportional, integral, derivative type control routine includes using a feedback signal indicative of an attribute of the controlled device to generate the control signal value. 14. The method of claim 13, wherein sending the new control signal to the controlled device via a communications link includes sending a new control signal value and a predetermined time to implement the new control signal value at the controlled device and wherein using the feedback signal includes assuming that the controlled device implemented the new control signal value at the predetermined time to implement the new control signal value to determine the feedback signal. 15. The method of claim 13, further including receiving the feedback signal via a wireless communication link. 16. The method of claim 13, further including receiving the feedback signal via a wired communication link. 17. A process control system for use in controlling a controlled device within a process using a control signal, comprising:
a process controller that stores a control routine and that implements the control routine during multiple iterations to generate, during each of the multiple iterations, a control signal value for controlling the controlled device; and a communications routine, implemented within a computer processing device that is coupled to the process controller, wherein the communications routine receives the generated control signal value for each of the multiple iterations of the control routine and executes to:
determine if a minimum predetermined communication time period has passed, and
determine if an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal;
and, further executes to determine if a further signaling condition is met at least when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal; and
sends a new control signal to the controlled device via a communications link only when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal and when the further signaling condition is met. 18. The process control system of claim 17, wherein the communications routine determines if the further signaling condition is met by determining if the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value. 19. The process control system of claim 17, wherein the communications routine determines if the further signaling condition is met by determining if the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 20. The process control system of claim 17, wherein the communications routine determines if the further signaling condition is met by determining if either the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value or the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 21. The process control system of claim 17, wherein the communications routine is implemented with a computer processing device within the process controller. 22. The process control system of claim 17, wherein the communications routine determines if the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a maximum change threshold value and generates the new control signal as a limited version of the control signal value for the control routine iteration when the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than the maximum change threshold value. 23. The process control system of claim 17, wherein communications routine sends the new control signal to the controlled device as a wireless communications signal. 24. The process control system of claim 17, wherein the communications routine generates the new control signal as including a new control signal value and a time to implement the new control signal value at the controlled device. 25. The process control system of claim 24, wherein the time to implement the new control signal value is an offset time. 26. The process control system of claim 24, wherein the time to implement the new control signal value is an absolute time. 27. The process control system of claim 24, wherein the control routine uses a feedback signal indicative of an attribute of the controlled device to generate the control signal value and the control routine assumes that the controlled device implemented the new control signal value at the predetermined time to determine the feedback signal when generating the control signal for at least one control routine iteration. 28. The process control system of claim 17, wherein the control routine is a proportional, integral, derivative type control routine. 29. The process control system of claim 17, wherein the control routine is a proportional, integral derivative (PID) type of control routine and wherein the process controller receives a feedback signal via a wireless communications link that is used as a feedback signal in the PID type of control routine. 30. A process control system for controlling a process, comprising:
a process controller including one or more processors, a memory, and a communications interface; a communications link; and a controlled device disposed within the process and communicatively coupled to the process controller via the communications link; wherein the process controller includes a control routine stored on the memory that executes on the one or more processors during each of a multiplicity of iterations to generate a control signal value for use in controlling the controlled device, and wherein the communications interface includes an interface routine stored on the memory that executes on the one or more processors to;
(1) determine if a minimum predetermined time period has passed since sending a previous control signal to the controlled device,
(2) determine if an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal; and
(3) determine if a further signaling condition is met; and
wherein the interface routine sends a new control signal to the controlled device via the communications link based on the control signal value generated by the control routine during an iteration when (1) the minimum predetermined time period has passed since sending a previous control signal to the controlled device, and (2) an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal and (3) the further signaling condition is met, and does not send a new control signal to the controlled device via the communications link based on the control signal value generated by the control routine during an iteration when (1) the minimum predetermined time period has not passed since sending a previous control signal to the controlled device, or (2) an acknowledgement has not been received from the controlled device indicating that the controlled device has received the previous control signal, or (3) the further signaling condition is not met. 31. The process control system of claim 30, wherein the interface routine determines that the further signaling condition is met if the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value. 32. The process control system of claim 30, wherein the interface routine determines that the further signaling condition is met if the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 33. The process control system of claim 30, wherein the interface routine determines that the further signaling condition is met if either the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value or the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 34. The process control system of claim 33, wherein the interface routine further determines if a difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a maximum change threshold value and creates the new control signal as a limited version of the control signal value for the control routine iteration when the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than the maximum change threshold value. 35. The process control system of claim 33, wherein the communications link is a wireless communications link. 36. The process control system of claim 33, wherein the communications link includes is a wired communications link. 37. The process control system of claim 33, wherein the interface routine creates a new control signal as a signal including a target value and a time to implement the target value at the controlled device. 38. The process control system of claim 37, wherein the time to implement the target value is an offset time. 39. The process control system of claim 33, wherein the control routine is a proportional, integral, derivative (PID) type of control routine. 40. The process control system of claim 33, wherein the control routine uses a feedback signal indicative of an attribute of the controlled device to generate the control signal value. 41. The process control system of claim 40, wherein the control routine uses an additional feedback signal indicative of a measured process variable to generate the control signal value. 42. The process control system of claim 33, wherein the interface routine creates a new control signal as a signal including a target value and a time to implement the target value at the controlled device and wherein the control routine uses an attribute of the controlled device to generate the control signal value, and wherein the control routine assumes that the controlled device implements the target value at the time to implement the target value to determine the attribute of the controlled device. 43. The process control system of claim 33, further including a sensor disposed within the process to measure a process variable, and a further communications link disposed between the process controller and the sensor, wherein the control routine uses the process variable measured by the sensor to determine the control signal value. 44. The process control system of claim 43, wherein the communications link and the further communications link are both wireless communications links. 45. The process control system of claim 43, wherein the communications link and the further communications link are both wired communications links. 46. The process control system of claim 43, wherein the communications link is a wired communications link and the further communications link is a wireless communications link. 47. The process control system of claim 43, wherein the communications link is a wireless communications link and the further communications link is a wired communications link. 48. A process controller for use in controlling a controlled device within a process, comprising:
a processor; a memory; a process control routine stored on the memory that executes on the processor during each of a multiplicity of iterations to produce a control signal value for controlling the controlled device within the process and wherein the process control routine comprises a feedback type of control routine that uses an attribute of the controlled device as a feedback variable to generate the control signal value; and a communications routine stored on the memory that executes on the processor during one or more of the multiplicity of iterations to send a new control signal, based on the control signal value, to the controlled device, wherein the new control signal includes a target value for the controlled device and a time to implement the target value; wherein the process control routine determines the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value during one or more of the multiplicity of iterations. 49. The process controller of claim 48, wherein the process control routine determines the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value prior to receiving an indication of a measured attribute value of the controlled device from the controlled device. 50. The process controller of claim 48, wherein the process control routine comprises a proportional, integral, derivative type of control routine. 51. The process controller of claim 50, wherein the process control routine uses the feedback variable to determine a reset contribution to the control signal value. 52. The process controller of claim 48, wherein the communications routine sends the new control signal to the controlled device via a wireless communications link. 53. The process controller of claim 48, wherein the time to implement the target value is an offset time. 54. The process controller of claim 48, wherein the time to implement the target value is an absolute time. 55. A method of controlling a controlled device within a process using a control signal, comprising:
implementing, on a process controller computing device, multiple iterations of a control routine to generate, during each of the multiple iterations, a control signal value for controlling the controlled device, further including using an attribute of the controlled device as a feedback variable to generate the control signal value during each of the multiple iterations of the control routine; generating a new control signal for one or more of the multiple iterations, wherein the new control signal includes a target value for the controlled device and a time to implement the target value; and sending the new control signal over a communications link to the controlled device; and further including determining the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value during one or more of the multiple iterations of the control routine. 56. The method of claim 55, wherein determining the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value includes determining the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value in at least one of the multiple iterations prior to receiving an indication a measured attribute value of the controlled device from the controlled device at the process controller computing device. 57. The method of claim 55, wherein implementing the control routine includes implementing a proportional, integral, derivative type of control routine. 58. The method of claim 57, further including using the feedback variable to determine a reset contribution to the control signal value. 59. The method of claim 55, wherein sending the new control signal over a communications link to the controlled device includes sending the new control signal via a wireless communications link. 60. The method of claim 55, wherein generating a new control signal includes generating the time to implement the target value as an offset time. 61. The method of claim 55, wherein generating a new control signal includes generating the time to implement the target value as an absolute time. | A control technique controls a process in a manner that reduces the number of controller changes provided to a controlled device, and so reduces the power consumption of the controlled device along with the loading of a process control communications network disposed between the controller and the controlled device. This technique is very useful in a control system having wirelessly connected field devices, such as sensors and valves which, in many cases, operate off of battery power. Moreover, the control technique is useful in implementing a control system in which control signals are subject to intermittent, non-synchronized or significantly delayed communications and/or in a control system that receives intermittent, non-synchronized or significantly delayed process variable measurements to be used as feedback signals in the performance of closed-loop control.1. A method of controlling a controlled device within a process using a control signal, comprising:
implementing, on a process controller computing device, multiple iterations of a control routine to generate, during each of the multiple iterations, a control signal value for controlling the controlled device; and implementing a communications routine within a computer processing device coupled to the process controller computing device including, during each of a multiplicity of iterations of the control routine,
determining if a minimum predetermined communication time period has passed, and
determining if an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal;
and, at least when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal, determining if a further signaling condition is met; and
sending a new control signal to the controlled device via a communications link only when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal and when the further signaling condition is met. 2. The method of claim 1, wherein determining if the further signaling condition is met includes determining if the difference between the control signal value generated for a control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value. 3. The method of claim 1, wherein determining if the further signaling condition is met includes determining if the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 4. The method of claim 1, wherein determining if the further signaling condition is met includes determining if either the difference between the control signal value generated for a control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value or the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 5. The method of claim 1, wherein implementing the communications routine within a computer processing device coupled to the process controller computing device includes implementing the communications routine during each of a multiplicity of consecutive iterations of the control routine. 6. The method of claim 1, wherein sending a new control signal to the controlled device via a communications link includes determining if the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a maximum change threshold value and sending the new control signal as a limited version of the control signal value for the control routine iteration when the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than the maximum change threshold value. 7. The method of claim 1, wherein sending the new control signal to the controlled device via a communications link includes sending the new control signal to the controlled device via a wireless communications link. 8. The method of claim 1, wherein sending the new control signal to the controlled device via a communications link includes sending the new control signal to the controlled device via a wired communications link. 9. The method of claim 1, wherein sending the new control signal to the controlled device via a communications link includes sending the new control signal as a new control signal value and a time to implement the new control signal value at the controlled device. 10. The method of claim 9, wherein sending the time to implement the new control signal value includes sending the time as an offset time. 11. The method of claim 9, wherein sending the time to implement the new control signal value includes sending the time as an absolute time. 12. The method of claim 1, wherein implementing, on a process controller computing device, multiple iterations of a control routine includes implementing a proportional, integral, derivative type control routine. 13. The method of claim 12, wherein implementing the proportional, integral, derivative type control routine includes using a feedback signal indicative of an attribute of the controlled device to generate the control signal value. 14. The method of claim 13, wherein sending the new control signal to the controlled device via a communications link includes sending a new control signal value and a predetermined time to implement the new control signal value at the controlled device and wherein using the feedback signal includes assuming that the controlled device implemented the new control signal value at the predetermined time to implement the new control signal value to determine the feedback signal. 15. The method of claim 13, further including receiving the feedback signal via a wireless communication link. 16. The method of claim 13, further including receiving the feedback signal via a wired communication link. 17. A process control system for use in controlling a controlled device within a process using a control signal, comprising:
a process controller that stores a control routine and that implements the control routine during multiple iterations to generate, during each of the multiple iterations, a control signal value for controlling the controlled device; and a communications routine, implemented within a computer processing device that is coupled to the process controller, wherein the communications routine receives the generated control signal value for each of the multiple iterations of the control routine and executes to:
determine if a minimum predetermined communication time period has passed, and
determine if an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal;
and, further executes to determine if a further signaling condition is met at least when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal; and
sends a new control signal to the controlled device via a communications link only when the minimum predetermined communication time period has passed and an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal and when the further signaling condition is met. 18. The process control system of claim 17, wherein the communications routine determines if the further signaling condition is met by determining if the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value. 19. The process control system of claim 17, wherein the communications routine determines if the further signaling condition is met by determining if the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 20. The process control system of claim 17, wherein the communications routine determines if the further signaling condition is met by determining if either the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value or the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 21. The process control system of claim 17, wherein the communications routine is implemented with a computer processing device within the process controller. 22. The process control system of claim 17, wherein the communications routine determines if the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a maximum change threshold value and generates the new control signal as a limited version of the control signal value for the control routine iteration when the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than the maximum change threshold value. 23. The process control system of claim 17, wherein communications routine sends the new control signal to the controlled device as a wireless communications signal. 24. The process control system of claim 17, wherein the communications routine generates the new control signal as including a new control signal value and a time to implement the new control signal value at the controlled device. 25. The process control system of claim 24, wherein the time to implement the new control signal value is an offset time. 26. The process control system of claim 24, wherein the time to implement the new control signal value is an absolute time. 27. The process control system of claim 24, wherein the control routine uses a feedback signal indicative of an attribute of the controlled device to generate the control signal value and the control routine assumes that the controlled device implemented the new control signal value at the predetermined time to determine the feedback signal when generating the control signal for at least one control routine iteration. 28. The process control system of claim 17, wherein the control routine is a proportional, integral, derivative type control routine. 29. The process control system of claim 17, wherein the control routine is a proportional, integral derivative (PID) type of control routine and wherein the process controller receives a feedback signal via a wireless communications link that is used as a feedback signal in the PID type of control routine. 30. A process control system for controlling a process, comprising:
a process controller including one or more processors, a memory, and a communications interface; a communications link; and a controlled device disposed within the process and communicatively coupled to the process controller via the communications link; wherein the process controller includes a control routine stored on the memory that executes on the one or more processors during each of a multiplicity of iterations to generate a control signal value for use in controlling the controlled device, and wherein the communications interface includes an interface routine stored on the memory that executes on the one or more processors to;
(1) determine if a minimum predetermined time period has passed since sending a previous control signal to the controlled device,
(2) determine if an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal; and
(3) determine if a further signaling condition is met; and
wherein the interface routine sends a new control signal to the controlled device via the communications link based on the control signal value generated by the control routine during an iteration when (1) the minimum predetermined time period has passed since sending a previous control signal to the controlled device, and (2) an acknowledgement has been received from the controlled device indicating that the controlled device has received the previous control signal and (3) the further signaling condition is met, and does not send a new control signal to the controlled device via the communications link based on the control signal value generated by the control routine during an iteration when (1) the minimum predetermined time period has not passed since sending a previous control signal to the controlled device, or (2) an acknowledgement has not been received from the controlled device indicating that the controlled device has received the previous control signal, or (3) the further signaling condition is not met. 31. The process control system of claim 30, wherein the interface routine determines that the further signaling condition is met if the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value. 32. The process control system of claim 30, wherein the interface routine determines that the further signaling condition is met if the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 33. The process control system of claim 30, wherein the interface routine determines that the further signaling condition is met if either the difference between the control signal value generated for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a threshold value or the time since the previous control signal was sent to the controlled device exceeds a maximum threshold time value. 34. The process control system of claim 33, wherein the interface routine further determines if a difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than a maximum change threshold value and creates the new control signal as a limited version of the control signal value for the control routine iteration when the difference between the control signal value for the control routine iteration and the value of the previous control signal sent to controlled device is greater than the maximum change threshold value. 35. The process control system of claim 33, wherein the communications link is a wireless communications link. 36. The process control system of claim 33, wherein the communications link includes is a wired communications link. 37. The process control system of claim 33, wherein the interface routine creates a new control signal as a signal including a target value and a time to implement the target value at the controlled device. 38. The process control system of claim 37, wherein the time to implement the target value is an offset time. 39. The process control system of claim 33, wherein the control routine is a proportional, integral, derivative (PID) type of control routine. 40. The process control system of claim 33, wherein the control routine uses a feedback signal indicative of an attribute of the controlled device to generate the control signal value. 41. The process control system of claim 40, wherein the control routine uses an additional feedback signal indicative of a measured process variable to generate the control signal value. 42. The process control system of claim 33, wherein the interface routine creates a new control signal as a signal including a target value and a time to implement the target value at the controlled device and wherein the control routine uses an attribute of the controlled device to generate the control signal value, and wherein the control routine assumes that the controlled device implements the target value at the time to implement the target value to determine the attribute of the controlled device. 43. The process control system of claim 33, further including a sensor disposed within the process to measure a process variable, and a further communications link disposed between the process controller and the sensor, wherein the control routine uses the process variable measured by the sensor to determine the control signal value. 44. The process control system of claim 43, wherein the communications link and the further communications link are both wireless communications links. 45. The process control system of claim 43, wherein the communications link and the further communications link are both wired communications links. 46. The process control system of claim 43, wherein the communications link is a wired communications link and the further communications link is a wireless communications link. 47. The process control system of claim 43, wherein the communications link is a wireless communications link and the further communications link is a wired communications link. 48. A process controller for use in controlling a controlled device within a process, comprising:
a processor; a memory; a process control routine stored on the memory that executes on the processor during each of a multiplicity of iterations to produce a control signal value for controlling the controlled device within the process and wherein the process control routine comprises a feedback type of control routine that uses an attribute of the controlled device as a feedback variable to generate the control signal value; and a communications routine stored on the memory that executes on the processor during one or more of the multiplicity of iterations to send a new control signal, based on the control signal value, to the controlled device, wherein the new control signal includes a target value for the controlled device and a time to implement the target value; wherein the process control routine determines the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value during one or more of the multiplicity of iterations. 49. The process controller of claim 48, wherein the process control routine determines the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value prior to receiving an indication of a measured attribute value of the controlled device from the controlled device. 50. The process controller of claim 48, wherein the process control routine comprises a proportional, integral, derivative type of control routine. 51. The process controller of claim 50, wherein the process control routine uses the feedback variable to determine a reset contribution to the control signal value. 52. The process controller of claim 48, wherein the communications routine sends the new control signal to the controlled device via a wireless communications link. 53. The process controller of claim 48, wherein the time to implement the target value is an offset time. 54. The process controller of claim 48, wherein the time to implement the target value is an absolute time. 55. A method of controlling a controlled device within a process using a control signal, comprising:
implementing, on a process controller computing device, multiple iterations of a control routine to generate, during each of the multiple iterations, a control signal value for controlling the controlled device, further including using an attribute of the controlled device as a feedback variable to generate the control signal value during each of the multiple iterations of the control routine; generating a new control signal for one or more of the multiple iterations, wherein the new control signal includes a target value for the controlled device and a time to implement the target value; and sending the new control signal over a communications link to the controlled device; and further including determining the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value during one or more of the multiple iterations of the control routine. 56. The method of claim 55, wherein determining the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value includes determining the attribute of the controlled device as the feedback variable assuming that the controlled device implemented the target value at the time to implement the target value in at least one of the multiple iterations prior to receiving an indication a measured attribute value of the controlled device from the controlled device at the process controller computing device. 57. The method of claim 55, wherein implementing the control routine includes implementing a proportional, integral, derivative type of control routine. 58. The method of claim 57, further including using the feedback variable to determine a reset contribution to the control signal value. 59. The method of claim 55, wherein sending the new control signal over a communications link to the controlled device includes sending the new control signal via a wireless communications link. 60. The method of claim 55, wherein generating a new control signal includes generating the time to implement the target value as an offset time. 61. The method of claim 55, wherein generating a new control signal includes generating the time to implement the target value as an absolute time. | 2,100 |
5,846 | 5,846 | 14,729,545 | 2,157 | A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; and, generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights. | 1. A system comprising:
a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving streams of data from a plurality of data sources;
processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph;
processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; and,
generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights. 2. The system of claim 1, wherein:
the plurality of individual cognitive insights used when composing the composite cognitive insight are related to a particular composite cognitive insight session. 3. The system of claim 1, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight. 4. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
presenting the contextually-relevant composite insight to a user; determining whether the user provides feedback regarding the contextually-relevant composite insight; and, generating a contextually-relevant question responsive to user provided feedback. 5. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
determining whether the user provides response to the contextually-relevant question; and, providing additional cognitive insights responsive to the response to the contextually-relevant question. 6. The system of claim 1, wherein:
a plurality of insight agents orchestrate the processing of the cognitive graph to provide the plurality of individual cognitive insights used when composing the composite cognitive insight. 7. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; and, generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights. 8. The non-transitory, computer-readable storage medium of claim 7, wherein:
the plurality of individual cognitive insights used when composing the composite cognitive insight are related to a particular composite cognitive insight session. 9. The non-transitory, computer-readable storage medium of claim 7, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight. 10. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
presenting the contextually-relevant composite insight to a user; determining whether the user provides feedback regarding the contextually-relevant composite insight; and, generating a contextually-relevant question responsive to user provided feedback. 11. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
determining whether the user provides response to the contextually-relevant question; and, providing additional cognitive insights responsive to the response to the contextually-relevant question. 12. The non-transitory, computer-readable storage medium of claim 7, wherein
a plurality of insight agents orchestrate the processing of the cognitive graph to provide the plurality of individual cognitive insights used when composing the composite cognitive insight. 13. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are deployable to a client system from a server system at a remote location. 14. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis. | A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; and, generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights.1. A system comprising:
a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving streams of data from a plurality of data sources;
processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph;
processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; and,
generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights. 2. The system of claim 1, wherein:
the plurality of individual cognitive insights used when composing the composite cognitive insight are related to a particular composite cognitive insight session. 3. The system of claim 1, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight. 4. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
presenting the contextually-relevant composite insight to a user; determining whether the user provides feedback regarding the contextually-relevant composite insight; and, generating a contextually-relevant question responsive to user provided feedback. 5. The system of claim 1, wherein the instructions executable by the processor further comprise instructions for:
determining whether the user provides response to the contextually-relevant question; and, providing additional cognitive insights responsive to the response to the contextually-relevant question. 6. The system of claim 1, wherein:
a plurality of insight agents orchestrate the processing of the cognitive graph to provide the plurality of individual cognitive insights used when composing the composite cognitive insight. 7. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; and, generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights. 8. The non-transitory, computer-readable storage medium of claim 7, wherein:
the plurality of individual cognitive insights used when composing the composite cognitive insight are related to a particular composite cognitive insight session. 9. The non-transitory, computer-readable storage medium of claim 7, wherein:
the composite cognitive insight comprises a contextually-relevant composite insight. 10. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
presenting the contextually-relevant composite insight to a user; determining whether the user provides feedback regarding the contextually-relevant composite insight; and, generating a contextually-relevant question responsive to user provided feedback. 11. The non-transitory, computer-readable storage medium of claim 7, wherein the instructions executable by the processor further comprise instructions for:
determining whether the user provides response to the contextually-relevant question; and, providing additional cognitive insights responsive to the response to the contextually-relevant question. 12. The non-transitory, computer-readable storage medium of claim 7, wherein
a plurality of insight agents orchestrate the processing of the cognitive graph to provide the plurality of individual cognitive insights used when composing the composite cognitive insight. 13. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are deployable to a client system from a server system at a remote location. 14. The non-transitory, computer-readable storage medium of claim 7, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis. | 2,100 |
5,847 | 5,847 | 14,053,395 | 2,165 | Utilizing social information for recommending an application includes providing an application recommendation system based on social characterizations, and responsive to a user searching for an application meeting a criteria, utilizing the application recommendation system by searching for applications meeting the criteria, characterizing the applications according to a social proximity factor to the user, and presenting the applications ordered by the social proximity factor. | 1. A computer program product for utilizing social information for recommending an application, comprising:
a tangible computer readable storage medium, said tangible computer readable storage medium comprising computer readable program code embodied therewith, said computer readable program code comprising program instructions that, when executed, causes a processor to: provide an application recommendation system based on social characterizations; and responsive to a user searching for an application meeting a criteria, utilizing said application recommendation system to: search for applications meeting said criteria; characterize said applications according to a social proximity factor to said user; and present said applications ordered by said social proximity factor. 2. The computer program product claim 1, wherein said criteria is selected from a group consisting of a search string, a category, a social network, an individual, an organization, and combinations thereof. 3. The computer program product claim 1, further comprising computer readable program code comprising program instructions that, when executed, causes said processor to present an alternative recommendation responsive to identifying problems with said applications. 4. The computer program product claim 3, wherein said alternative recommendation is based on similarities to said applications. 5. The computer program product claim 3, wherein said alternative recommendation is from an expertise group. 6. The computer program product of claim 1, further comprising computer readable program code comprising program instructions that, when executed, causes said processor to annotate said applications by said social proximity factor. 7. The computer program product claim 6, wherein to annotate said applications includes annotating said applications with an icon of a group making a recommendation regarding said applications. 8. The computer program product of claim 7, further comprising computer readable program code comprising program instructions that, when executed, causes said processor to provide additional information about said applications from said group. 9. A system for utilizing social information for recommending an application, said system comprising:
with an application recommendation system based on social characterizations; and responsive to a user searching for an application meeting a criteria, utilizing said application recommendation system by using: a search engine to search for applications meeting said criteria; an application characterization engine to characterize said applications according to a social proximity factor to said user wherein said proximity factor includes said user's proximity to other users on a social media website, said user's relationship strength with said other users on said social media website, or combinations thereof; an application presentation engine to present said applications ordered by said social proximity factor wherein said application presentation engine presents said applications with a higher social proximity factor before said applications with a lower social proximity factor; an annotation engine to annotate said applications by said social proximity factor wherein said annotation engine to annotates said application with an icon of a group making a recommendation regarding said applications; and an additional information engine to provide additional information about said applications from said group wherein said additional information comprises a profile picture of said group that uses said applications, a name of a said group, or combinations thereof. 10. The system of claim 9, wherein said search engine uses said application recommendation system to analyze what said user is searching for in an application store based on said criteria said user selects. 11. The system of claim 9, wherein said application presentation engine presents said applications according to aggregated group information. 12. The system of claim 11, wherein said application presentation engine further presents a rating for said applications from a group of users. 13. The system of claim 11, wherein said application presentation engine, based on said criteria and said social proximity factor, further populates an application store with said applications from an application library. 14. The system of claim 9, wherein said application characterization engine further analyzes said criteria against said social proximity factor. 15. The system of claim 9, further comprising an alternative recommendation engine to present an alternative recommendation responsive to identifying problems with said applications wherein said alternative recommendation is based on similarities to said applications. 16. A system for utilizing social information for recommending an application, said system comprising:
with an application recommendation system based on social characterizations; and responsive to a user searching for an application meeting a criteria, utilizing said application recommendation system by using: an application characterization engine to characterize said applications according to a social proximity factor to said user to analyze said criteria against said social proximity factor wherein said proximity factor includes said user's proximity to other users on a social media website, said user's relationship strength with said other users on said social media website, or combinations thereof; and an application presentation engine to present said applications ordered by said social proximity factor and based on said criteria and said social proximity factor, populate an application store with said applications from an application library. 17. The system of claim 16, further comprising an alternative recommendation engine to present an alternative recommendation responsive to identifying problems with said applications wherein said alternative recommendation is based on similarities to said applications. 18. The system of claim 16, wherein said application presentation engine presents said applications according to aggregated group information wherein said aggregated group information comprises presenting a rating for said applications from a group of users. 19. The system of claim 16, further comprising a search engine to search for said applications meeting said criteria, wherein said criteria is selected from a group consisting of a search string, a category, a social network, an individual, an organization, and combinations thereof and wherein said search engine further uses said application recommendation system to analyze what said user is searching for in an application store based on said criteria said user selects. 20. The system of claim 16, further comprising an annotation engine to annotate said applications by said social proximity factor wherein said annotation engine further annotates said application with an icon of a group making a recommendation regarding said applications. | Utilizing social information for recommending an application includes providing an application recommendation system based on social characterizations, and responsive to a user searching for an application meeting a criteria, utilizing the application recommendation system by searching for applications meeting the criteria, characterizing the applications according to a social proximity factor to the user, and presenting the applications ordered by the social proximity factor.1. A computer program product for utilizing social information for recommending an application, comprising:
a tangible computer readable storage medium, said tangible computer readable storage medium comprising computer readable program code embodied therewith, said computer readable program code comprising program instructions that, when executed, causes a processor to: provide an application recommendation system based on social characterizations; and responsive to a user searching for an application meeting a criteria, utilizing said application recommendation system to: search for applications meeting said criteria; characterize said applications according to a social proximity factor to said user; and present said applications ordered by said social proximity factor. 2. The computer program product claim 1, wherein said criteria is selected from a group consisting of a search string, a category, a social network, an individual, an organization, and combinations thereof. 3. The computer program product claim 1, further comprising computer readable program code comprising program instructions that, when executed, causes said processor to present an alternative recommendation responsive to identifying problems with said applications. 4. The computer program product claim 3, wherein said alternative recommendation is based on similarities to said applications. 5. The computer program product claim 3, wherein said alternative recommendation is from an expertise group. 6. The computer program product of claim 1, further comprising computer readable program code comprising program instructions that, when executed, causes said processor to annotate said applications by said social proximity factor. 7. The computer program product claim 6, wherein to annotate said applications includes annotating said applications with an icon of a group making a recommendation regarding said applications. 8. The computer program product of claim 7, further comprising computer readable program code comprising program instructions that, when executed, causes said processor to provide additional information about said applications from said group. 9. A system for utilizing social information for recommending an application, said system comprising:
with an application recommendation system based on social characterizations; and responsive to a user searching for an application meeting a criteria, utilizing said application recommendation system by using: a search engine to search for applications meeting said criteria; an application characterization engine to characterize said applications according to a social proximity factor to said user wherein said proximity factor includes said user's proximity to other users on a social media website, said user's relationship strength with said other users on said social media website, or combinations thereof; an application presentation engine to present said applications ordered by said social proximity factor wherein said application presentation engine presents said applications with a higher social proximity factor before said applications with a lower social proximity factor; an annotation engine to annotate said applications by said social proximity factor wherein said annotation engine to annotates said application with an icon of a group making a recommendation regarding said applications; and an additional information engine to provide additional information about said applications from said group wherein said additional information comprises a profile picture of said group that uses said applications, a name of a said group, or combinations thereof. 10. The system of claim 9, wherein said search engine uses said application recommendation system to analyze what said user is searching for in an application store based on said criteria said user selects. 11. The system of claim 9, wherein said application presentation engine presents said applications according to aggregated group information. 12. The system of claim 11, wherein said application presentation engine further presents a rating for said applications from a group of users. 13. The system of claim 11, wherein said application presentation engine, based on said criteria and said social proximity factor, further populates an application store with said applications from an application library. 14. The system of claim 9, wherein said application characterization engine further analyzes said criteria against said social proximity factor. 15. The system of claim 9, further comprising an alternative recommendation engine to present an alternative recommendation responsive to identifying problems with said applications wherein said alternative recommendation is based on similarities to said applications. 16. A system for utilizing social information for recommending an application, said system comprising:
with an application recommendation system based on social characterizations; and responsive to a user searching for an application meeting a criteria, utilizing said application recommendation system by using: an application characterization engine to characterize said applications according to a social proximity factor to said user to analyze said criteria against said social proximity factor wherein said proximity factor includes said user's proximity to other users on a social media website, said user's relationship strength with said other users on said social media website, or combinations thereof; and an application presentation engine to present said applications ordered by said social proximity factor and based on said criteria and said social proximity factor, populate an application store with said applications from an application library. 17. The system of claim 16, further comprising an alternative recommendation engine to present an alternative recommendation responsive to identifying problems with said applications wherein said alternative recommendation is based on similarities to said applications. 18. The system of claim 16, wherein said application presentation engine presents said applications according to aggregated group information wherein said aggregated group information comprises presenting a rating for said applications from a group of users. 19. The system of claim 16, further comprising a search engine to search for said applications meeting said criteria, wherein said criteria is selected from a group consisting of a search string, a category, a social network, an individual, an organization, and combinations thereof and wherein said search engine further uses said application recommendation system to analyze what said user is searching for in an application store based on said criteria said user selects. 20. The system of claim 16, further comprising an annotation engine to annotate said applications by said social proximity factor wherein said annotation engine further annotates said application with an icon of a group making a recommendation regarding said applications. | 2,100 |
5,848 | 5,848 | 15,436,691 | 2,175 | A method displays a first data visualization according to user placement of data fields in shelves of a user interface. Each shelf specifies a property of the data visualization and the data visualization includes visual data marks corresponding to data values for data fields in a dataset. A user selects a subset of the visual data marks. A popup summary is displayed that includes data value distributions for several data fields. In the popup summary, a second user input is detected corresponding to a first data field whose data value distribution is displayed in the popup summary. In response, the method displays a moveable icon corresponding to the first data field. The method detects a third user input to place the interactive moveable icon in a shelf in the user interface. In response, a second data visualization is displayed according to placement of data fields, including the first data field. | 1. A method of visualizing a dataset, comprising:
at a computer having a display, one or more processors, and memory storing one or more programs configured for execution by the one or more processors: displaying a first data visualization in a data visualization user interface according to user placement of data fields in shelves of the user interface, wherein each of the shelves specifies a respective property of the first data visualization, each of the data fields is from the dataset, and the first data visualization includes a plurality of visual data marks corresponding to data values for data fields in the dataset; detecting a first user input to select a subset of the visual data marks; in response to detecting the first user input, displaying a popup summary that includes data value distributions for a plurality of the data fields, wherein each data value distribution indicates distribution of data values for a respective data field based on all visual data marks in the data visualization and also indicates distribution of data values for the respective data field based on the selected subset of the visual data marks; detecting, in the popup summary, a second user input corresponding to a first data field whose data value distribution is displayed in the popup summary; in response to detecting the second user input, displaying an interactive moveable icon corresponding to the first data field; detecting a third user input to place the interactive moveable icon in one of the shelves in the user interface; and in response to the third user input, displaying a second data visualization according to user placement of data fields, including the first data field, in the shelves of the user interface. 2. The method of claim 1, further comprising, in response to detecting the first user input, visually highlighting the selected subset of the visual data marks. 3. The method of claim 1, further comprising in response to detecting the third user input, visually highlighting visual data marks in the second data visualization corresponding to the selected subset of the visual data marks in the first data visualization. 4. The method of claim 1, wherein, for each data value distribution displayed in the popup summary, the distribution of data values for the respective data field based on the selected subset of the visual data marks is visually highlighted relative to the distribution of data values for the respective data field based on all visual data marks. 5. The method of claim 1, wherein the popup summary is displayed over at least a portion of the first data visualization. 6. The method of claim 1, further comprising:
while displaying the popup summary, detecting a fourth user input to modify the selected subset of the visual data marks to include or exclude one or more visual data marks from the selected subset; and in response to detecting the fourth user input, updating display of the popup summary in accordance with the modification of the selected subset. 7. The method of claim 1, wherein the popup summary includes a data value distribution for a data field distinct from the data fields in the shelves of the user interface. 8. The method of claim 1, wherein the popup summary includes data value distributions for data fields that have been used for one or more data mark encodings. 9. A computer system for visualizing a dataset, comprising:
a display; one or more processors; and memory storing one or more programs, wherein the one or more programs are configured for execution by the one or more processors and include instructions for:
displaying a first data visualization in a data visualization user interface according to user placement of data fields in shelves of the user interface, wherein each of the shelves specifies a respective property of the first data visualization, each of the data fields is from the dataset, and the first data visualization includes a plurality of visual data marks corresponding to data values for data fields in the dataset;
detecting a first user input to select a subset of the visual data marks;
in response to detecting the first user input, displaying a popup summary that includes data value distributions for a plurality of the data fields, wherein each data value distribution indicates distribution of data values for a respective data field based on all visual data marks in the data visualization and also indicates distribution of data values for the respective data field based on the selected subset of the visual data marks;
detecting, in the popup summary, a second user input corresponding to a first data field whose data value distribution is displayed in the popup summary;
in response to detecting the second user input, displaying an interactive moveable icon corresponding to the first data field;
detecting a third user input to place the interactive moveable icon in one of the shelves in the user interface; and
in response to the third user input, displaying a second data visualization according to user placement of data fields, including the first data field, in the shelves of the user interface. 10. The computer system of claim 9, further comprising, in response to detecting the first user input, visually highlighting the selected subset of the visual data marks. 11. The computer system of claim 9, further comprising in response to detecting the third user input, visually highlighting visual data marks in the second data visualization corresponding to the selected subset of the visual data marks in the first data visualization. 12. The computer system of claim 9, wherein, for each data value distribution displayed in the popup summary, the distribution of data values for the respective data field based on the selected subset of the visual data marks is visually highlighted relative to the distribution of data values for the respective data field based on all visual data marks. 13. The computer system of claim 9, wherein the popup summary is displayed over at least a portion of the first data visualization. 14. The computer system of claim 9, further comprising:
while displaying the popup summary, detecting a fourth user input to modify the selected subset of the visual data marks to include or exclude one or more visual data marks from the selected subset; and, in response to detecting the fourth user input, updating display of the popup summary in accordance with the modification of the selected subset. 15. The computer system of claim 9, wherein the popup summary includes a data value distribution for a data field distinct from the data fields in the shelves of the user interface. 16. The computer system of claim 9, wherein the popup summary includes data value distributions for data fields that have been used for one or more data mark encodings. 17. A non-transitory computer readable storage medium storing one or more programs configured for execution by one or more processors of a computer system, the one or more programs including instructions that when executed by the one or more processors cause the computer system to:
display a first data visualization in a data visualization user interface according to user placement of data fields in shelves of the user interface, wherein each of the shelves specifies a respective property of the first data visualization, each of the data fields is from the dataset, and the first data visualization includes a plurality of visual data marks corresponding to data values for data fields in the dataset; detect a first user input to select a subset of the visual data marks; in response to detecting the first user input, display a popup summary that includes data value distributions for a plurality of the data fields, wherein each data value distribution indicates distribution of data values for a respective data field based on all visual data marks in the data visualization and also indicates distribution of data values for the respective data field based on the selected subset of the visual data marks; detect, in the popup summary, a second user input corresponding to a first data field whose data value distribution is displayed in the popup summary; in response to detecting the second user input, display an interactive moveable icon corresponding to the first data field; detect a third user input to place the interactive moveable icon in one of the shelves in the user interface; and in response to the third user input, display a second data visualization according to user placement of data fields, including the first data field, in the shelves of the user interface. 18. The computer readable storage medium of claim 17, further comprising in response to detecting the third user input, visually highlighting visual data marks in the second data visualization corresponding to the selected subset of the visual data marks in the first data visualization. 19. The computer readable storage medium of claim 17, wherein, for each data value distribution displayed in the popup summary, the distribution of data values for the respective data field based on the selected subset of the visual data marks is visually highlighted relative to the distribution of data values for the respective data field based on all visual data marks. 20. The computer readable storage medium of claim 17, wherein the popup summary includes a data value distribution for a data field distinct from the data fields in the shelves of the user interface. | A method displays a first data visualization according to user placement of data fields in shelves of a user interface. Each shelf specifies a property of the data visualization and the data visualization includes visual data marks corresponding to data values for data fields in a dataset. A user selects a subset of the visual data marks. A popup summary is displayed that includes data value distributions for several data fields. In the popup summary, a second user input is detected corresponding to a first data field whose data value distribution is displayed in the popup summary. In response, the method displays a moveable icon corresponding to the first data field. The method detects a third user input to place the interactive moveable icon in a shelf in the user interface. In response, a second data visualization is displayed according to placement of data fields, including the first data field.1. A method of visualizing a dataset, comprising:
at a computer having a display, one or more processors, and memory storing one or more programs configured for execution by the one or more processors: displaying a first data visualization in a data visualization user interface according to user placement of data fields in shelves of the user interface, wherein each of the shelves specifies a respective property of the first data visualization, each of the data fields is from the dataset, and the first data visualization includes a plurality of visual data marks corresponding to data values for data fields in the dataset; detecting a first user input to select a subset of the visual data marks; in response to detecting the first user input, displaying a popup summary that includes data value distributions for a plurality of the data fields, wherein each data value distribution indicates distribution of data values for a respective data field based on all visual data marks in the data visualization and also indicates distribution of data values for the respective data field based on the selected subset of the visual data marks; detecting, in the popup summary, a second user input corresponding to a first data field whose data value distribution is displayed in the popup summary; in response to detecting the second user input, displaying an interactive moveable icon corresponding to the first data field; detecting a third user input to place the interactive moveable icon in one of the shelves in the user interface; and in response to the third user input, displaying a second data visualization according to user placement of data fields, including the first data field, in the shelves of the user interface. 2. The method of claim 1, further comprising, in response to detecting the first user input, visually highlighting the selected subset of the visual data marks. 3. The method of claim 1, further comprising in response to detecting the third user input, visually highlighting visual data marks in the second data visualization corresponding to the selected subset of the visual data marks in the first data visualization. 4. The method of claim 1, wherein, for each data value distribution displayed in the popup summary, the distribution of data values for the respective data field based on the selected subset of the visual data marks is visually highlighted relative to the distribution of data values for the respective data field based on all visual data marks. 5. The method of claim 1, wherein the popup summary is displayed over at least a portion of the first data visualization. 6. The method of claim 1, further comprising:
while displaying the popup summary, detecting a fourth user input to modify the selected subset of the visual data marks to include or exclude one or more visual data marks from the selected subset; and in response to detecting the fourth user input, updating display of the popup summary in accordance with the modification of the selected subset. 7. The method of claim 1, wherein the popup summary includes a data value distribution for a data field distinct from the data fields in the shelves of the user interface. 8. The method of claim 1, wherein the popup summary includes data value distributions for data fields that have been used for one or more data mark encodings. 9. A computer system for visualizing a dataset, comprising:
a display; one or more processors; and memory storing one or more programs, wherein the one or more programs are configured for execution by the one or more processors and include instructions for:
displaying a first data visualization in a data visualization user interface according to user placement of data fields in shelves of the user interface, wherein each of the shelves specifies a respective property of the first data visualization, each of the data fields is from the dataset, and the first data visualization includes a plurality of visual data marks corresponding to data values for data fields in the dataset;
detecting a first user input to select a subset of the visual data marks;
in response to detecting the first user input, displaying a popup summary that includes data value distributions for a plurality of the data fields, wherein each data value distribution indicates distribution of data values for a respective data field based on all visual data marks in the data visualization and also indicates distribution of data values for the respective data field based on the selected subset of the visual data marks;
detecting, in the popup summary, a second user input corresponding to a first data field whose data value distribution is displayed in the popup summary;
in response to detecting the second user input, displaying an interactive moveable icon corresponding to the first data field;
detecting a third user input to place the interactive moveable icon in one of the shelves in the user interface; and
in response to the third user input, displaying a second data visualization according to user placement of data fields, including the first data field, in the shelves of the user interface. 10. The computer system of claim 9, further comprising, in response to detecting the first user input, visually highlighting the selected subset of the visual data marks. 11. The computer system of claim 9, further comprising in response to detecting the third user input, visually highlighting visual data marks in the second data visualization corresponding to the selected subset of the visual data marks in the first data visualization. 12. The computer system of claim 9, wherein, for each data value distribution displayed in the popup summary, the distribution of data values for the respective data field based on the selected subset of the visual data marks is visually highlighted relative to the distribution of data values for the respective data field based on all visual data marks. 13. The computer system of claim 9, wherein the popup summary is displayed over at least a portion of the first data visualization. 14. The computer system of claim 9, further comprising:
while displaying the popup summary, detecting a fourth user input to modify the selected subset of the visual data marks to include or exclude one or more visual data marks from the selected subset; and, in response to detecting the fourth user input, updating display of the popup summary in accordance with the modification of the selected subset. 15. The computer system of claim 9, wherein the popup summary includes a data value distribution for a data field distinct from the data fields in the shelves of the user interface. 16. The computer system of claim 9, wherein the popup summary includes data value distributions for data fields that have been used for one or more data mark encodings. 17. A non-transitory computer readable storage medium storing one or more programs configured for execution by one or more processors of a computer system, the one or more programs including instructions that when executed by the one or more processors cause the computer system to:
display a first data visualization in a data visualization user interface according to user placement of data fields in shelves of the user interface, wherein each of the shelves specifies a respective property of the first data visualization, each of the data fields is from the dataset, and the first data visualization includes a plurality of visual data marks corresponding to data values for data fields in the dataset; detect a first user input to select a subset of the visual data marks; in response to detecting the first user input, display a popup summary that includes data value distributions for a plurality of the data fields, wherein each data value distribution indicates distribution of data values for a respective data field based on all visual data marks in the data visualization and also indicates distribution of data values for the respective data field based on the selected subset of the visual data marks; detect, in the popup summary, a second user input corresponding to a first data field whose data value distribution is displayed in the popup summary; in response to detecting the second user input, display an interactive moveable icon corresponding to the first data field; detect a third user input to place the interactive moveable icon in one of the shelves in the user interface; and in response to the third user input, display a second data visualization according to user placement of data fields, including the first data field, in the shelves of the user interface. 18. The computer readable storage medium of claim 17, further comprising in response to detecting the third user input, visually highlighting visual data marks in the second data visualization corresponding to the selected subset of the visual data marks in the first data visualization. 19. The computer readable storage medium of claim 17, wherein, for each data value distribution displayed in the popup summary, the distribution of data values for the respective data field based on the selected subset of the visual data marks is visually highlighted relative to the distribution of data values for the respective data field based on all visual data marks. 20. The computer readable storage medium of claim 17, wherein the popup summary includes a data value distribution for a data field distinct from the data fields in the shelves of the user interface. | 2,100 |
5,849 | 5,849 | 14,261,992 | 2,171 | An embodiment provides a method, including: receiving data relating to a first command from a user; recognizing the data relating to the first command as being directed to a first user device; receiving data relating to a second command from a user; recognizing the data relating to the second command as being directed to a second user device; determining that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pairing the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. Other aspects are described and claimed. | 1. A method, comprising:
receiving data relating to a first command from a user; recognizing the data relating to the first command as being directed to a first user device; receiving data relating to a second command from a user; recognizing the data relating to the second command as being directed to a second user device; determining that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pairing the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. 2. The method of claim 1, wherein the non-touch input modality is selected from the group consisting of camera based gesture sensing and audio input sensing. 3. The method of claim 2, wherein the determining that the first user device and the second user device are to be paired with one another is based on the data relating to the first command and the data relating to the second command being received within a predetermined time. 4. The method of claim 1, wherein the second command comprises a repeat of the first command. 5. The method of claim 1, wherein one or more of the first command and second command comprises a physical gesture other than direct physical contact with an object. 6. The method of claim 5, wherein the physical gesture is selected from the group consisting of: hand movement, hand clapping, eye orientation and eye movement. 7. The method of claim 1, wherein one or more of the first command and second command comprises an auditory command including a spoken command. 8. The method of claim 1, wherein said determining proceeds at a cloud device. 9. The method of claim 8, wherein:
said recognizing of the first command comprises consulting a device table stored in the cloud device; said recognizing of the second command comprises consulting the device table stored in the cloud device. 10. The method of claim 9, wherein said pairing comprises:
measuring an elapsed time between said recognizing of the first command and said recognizing of the second command; and pairing the first device and second device if the elapsed time does not exceed a predetermined time limit. 11. An apparatus, comprising:
a processor; and a memory that stores instructions executable by the processor to: receive data relating to a first command from a user; recognize the data relating to the first command as including a pairing command directed to a first user device; receive data relating to a first command from a user; recognize the data relating to the first command as being directed to a first user device; receive data relating to a second command from a user; recognize the data relating to the second command as being directed to a second user device; determine that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pair the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. 12. The apparatus of claim 11, wherein the non-touch input modality is selected from the group consisting of camera based gesture sensing and audio input sensing. 13. The apparatus of claim 12, wherein the determining that the first user device and the second user device are to be paired with one another is based on the data relating to the first command and the data relating to the second command being received within a predetermined time. 14. The apparatus of claim 11, wherein the second command comprises a repeat of the first command. 15. The apparatus of claim 11, wherein one or more of the first command and second command comprises a physical gesture other than direct physical contact with an object. 16. The apparatus of claim 15, wherein the physical gesture is selected from the group consisting of: hand movement, hand clapping, eye orientation and eye movement. 17. The apparatus of claim 11, wherein one or more of the first command and second command comprises an auditory command including a spoken command. 18. The apparatus of claim 11, wherein said determining proceeds at a cloud device. 19. The apparatus of claim 18, wherein:
recognizing of the first command comprises consulting a device table stored in the cloud device; recognizing of the second command comprises consulting the device table stored in the cloud device. 20. A product, comprising:
a storage device having code stored therewith, the code being executable by a processor and comprising: code that receives data relating to a first command from a user; code that recognizes the data relating to the first command as being directed to a first user device; code that receives data relating to a second command from a user; code that recognizes the data relating to the second command as being directed to a second user device; code that determines that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and code that pairs the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. | An embodiment provides a method, including: receiving data relating to a first command from a user; recognizing the data relating to the first command as being directed to a first user device; receiving data relating to a second command from a user; recognizing the data relating to the second command as being directed to a second user device; determining that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pairing the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. Other aspects are described and claimed.1. A method, comprising:
receiving data relating to a first command from a user; recognizing the data relating to the first command as being directed to a first user device; receiving data relating to a second command from a user; recognizing the data relating to the second command as being directed to a second user device; determining that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pairing the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. 2. The method of claim 1, wherein the non-touch input modality is selected from the group consisting of camera based gesture sensing and audio input sensing. 3. The method of claim 2, wherein the determining that the first user device and the second user device are to be paired with one another is based on the data relating to the first command and the data relating to the second command being received within a predetermined time. 4. The method of claim 1, wherein the second command comprises a repeat of the first command. 5. The method of claim 1, wherein one or more of the first command and second command comprises a physical gesture other than direct physical contact with an object. 6. The method of claim 5, wherein the physical gesture is selected from the group consisting of: hand movement, hand clapping, eye orientation and eye movement. 7. The method of claim 1, wherein one or more of the first command and second command comprises an auditory command including a spoken command. 8. The method of claim 1, wherein said determining proceeds at a cloud device. 9. The method of claim 8, wherein:
said recognizing of the first command comprises consulting a device table stored in the cloud device; said recognizing of the second command comprises consulting the device table stored in the cloud device. 10. The method of claim 9, wherein said pairing comprises:
measuring an elapsed time between said recognizing of the first command and said recognizing of the second command; and pairing the first device and second device if the elapsed time does not exceed a predetermined time limit. 11. An apparatus, comprising:
a processor; and a memory that stores instructions executable by the processor to: receive data relating to a first command from a user; recognize the data relating to the first command as including a pairing command directed to a first user device; receive data relating to a first command from a user; recognize the data relating to the first command as being directed to a first user device; receive data relating to a second command from a user; recognize the data relating to the second command as being directed to a second user device; determine that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pair the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. 12. The apparatus of claim 11, wherein the non-touch input modality is selected from the group consisting of camera based gesture sensing and audio input sensing. 13. The apparatus of claim 12, wherein the determining that the first user device and the second user device are to be paired with one another is based on the data relating to the first command and the data relating to the second command being received within a predetermined time. 14. The apparatus of claim 11, wherein the second command comprises a repeat of the first command. 15. The apparatus of claim 11, wherein one or more of the first command and second command comprises a physical gesture other than direct physical contact with an object. 16. The apparatus of claim 15, wherein the physical gesture is selected from the group consisting of: hand movement, hand clapping, eye orientation and eye movement. 17. The apparatus of claim 11, wherein one or more of the first command and second command comprises an auditory command including a spoken command. 18. The apparatus of claim 11, wherein said determining proceeds at a cloud device. 19. The apparatus of claim 18, wherein:
recognizing of the first command comprises consulting a device table stored in the cloud device; recognizing of the second command comprises consulting the device table stored in the cloud device. 20. A product, comprising:
a storage device having code stored therewith, the code being executable by a processor and comprising: code that receives data relating to a first command from a user; code that recognizes the data relating to the first command as being directed to a first user device; code that receives data relating to a second command from a user; code that recognizes the data relating to the second command as being directed to a second user device; code that determines that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and code that pairs the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. | 2,100 |
5,850 | 5,850 | 15,168,617 | 2,191 | Automated exception resolution during a software development session based on previous exception encounters is disclosed. A first software development session of a user is monitored. A first exception during the first software development session is detected. In response to detecting the first exception, first contextual information is obtained from the computing device. The first contextual information and first exception information that identifies the first exception is stored in a storage device. | 1. A method comprising:
monitoring, by a computing device comprising a processor device, a first software development session of a user; detecting a first exception during the first software development session; in response to detecting the first exception, obtaining first contextual information from the computing device; and storing the first contextual information and first exception information that identifies the first exception in a storage device. 2. The method of claim 1 further comprising:
detecting a second exception during a second software development session;
determining that the second exception is a same exception as the first exception; and
in response to determining that the second exception is the same exception as the first exception:
accessing the first contextual information from the storage device; and
presenting at least some of the first contextual information on a display device. 3. The method of claim 2 further comprising:
obtaining second contextual information from the computing device; and
storing the second contextual information and second exception information that identifies the second exception in the storage device. 4. The method of claim 2 wherein determining that the second exception is the same exception as the first exception comprises:
obtaining second exception information that identifies the second exception;
accessing first exception information from the storage device; and
comparing the second exception information to the first exception information to determine that the second exception is the same exception as the first exception. 5. The method of claim 2 wherein accessing the first contextual information from the storage device and presenting at least some of the first contextual information on the display device further comprises automatically, without user input, accessing the first contextual information from the storage device and automatically, without user input, presenting at least some of the first contextual information on the display device. 6. The method of claim 1 wherein monitoring the first software development session of a user comprises iteratively, during the first software development session, accessing data stored in a logfile generated by a development module that executes during the first development session. 7. The method of claim 1 further comprising obtaining the first exception information from a logfile generated by a development module that executes during the first development session. 8. The method of claim 1 wherein the first contextual information comprises one or more of:
a date and time of an occurrence of the first exception;
environmental information that identifies a current operating environment of the computing device at a time substantially contemporaneous with the occurrence of the first exception;
a plurality of titles of corresponding files stored on the computing device that were opened and/or modified during a predetermined period of time after the occurrence of the first exception;
a plurality of uniform resource locators (URLs) that identify a corresponding plurality of websites visited during the predetermined period of time;
a plurality of email identifiers that identify a corresponding plurality of emails opened during the predetermined period of time;
a plurality of titles of corresponding files committed to a file repository during the predetermined period of time; or
a plurality of commands entered by the user within a period of time prior to the occurrence of the exception. 9. The method of claim 8 wherein the environmental information comprises one or more of a total size of the memory, an available amount of the memory, a size of the storage device, a number of running processes in the memory, names of the processes, or a processor utilization of the processor device. 10. The method of claim 1 wherein the first contextual information comprises one or more of:
a plurality of screenshots of the display device taking over a predetermined period of time after a time of occurrence of the first exception; and
a video depicting content presented on the display device over the predetermined period of time. 11. The method of claim 1 wherein obtaining the first contextual information further comprises receiving a user note regarding the exception, and wherein the first contextual information comprises the user note. 12. The method of claim 1 wherein detecting the first exception during the first software development session comprises:
accessing a logfile generated by a development module that executes during the first development session; and
determining that an entry in the logfile identifies the exception. 13. A computing device comprising:
a memory; a processor device coupled to the memory to:
monitor a first software development session of a user;
detect a first exception during the first software development session;
in response to detecting the first exception, obtain first contextual information from the computing device; and
store the first contextual information and first exception information that identifies the first exception in a storage device. 14. The computing device of claim 13 wherein the processor is further to:
detect a second exception during a second software development session;
determine that the second exception is a same exception as the first exception; and
in response to determining that the second exception is the same exception as the first exception:
access the first contextual information from the storage device; and
present at least some of the first contextual information on a display device. 15. The computing device of claim 14 wherein to access the first contextual information from the storage device and present at least some of the first contextual information on the display device the processor is further to automatically, without user input, access the first contextual information from the storage device and automatically, without user input, present at least some of the first contextual information on the display device. 16. The computing device of claim 13 wherein the first contextual information comprises one or more of:
a date and time of an occurrence of the first exception;
environmental information that identifies a current operating environment of the computing device at a time substantially contemporaneous with the occurrence of the first exception;
a plurality of titles of corresponding files stored on the computing device that were opened and/or modified during a predetermined period of time after the occurrence of the first exception;
a plurality of uniform resource locators (URLs) that identify a corresponding plurality of websites visited during the predetermined period of time;
a plurality of email identifiers that identify a corresponding plurality of emails opened during the predetermined period of time; or
a plurality of titles of corresponding files committed to a file repository during the predetermined period of time. 17. The computing device of claim 13 wherein the first contextual information comprises one or more of:
a plurality of screenshots of the display device taking over a predetermined period of time after a time of occurrence of the first exception; and
a video depicting content presented on the display device over the predetermined period of time. 18. A computer program product stored on a non-transitory computer-readable storage medium and including instructions to cause a processor device to:
monitor a first software development session of a user; detect a first exception during the first software development session; in response to detecting the first exception, obtain first contextual information from a computing device; and store the first contextual information and first exception information that identifies the first exception in a storage device. 19. The computer program product of claim 18 wherein the instructions are further to cause the processor to:
detect a second exception during a second software development session;
determine that the second exception is a same exception as the first exception; and
in response to determining that the second exception is the same exception as the first exception:
access the first contextual information from the storage device; and
present at least some of the first contextual information on a display device. 20. The computer program product of claim 19 wherein to access the first contextual information from the storage device and present at least some of the first contextual information on the display device, the instructions further cause the processor to automatically, without user input, access the first contextual information from the storage device and automatically, without user input, present at least some of the first contextual information on the display device. | Automated exception resolution during a software development session based on previous exception encounters is disclosed. A first software development session of a user is monitored. A first exception during the first software development session is detected. In response to detecting the first exception, first contextual information is obtained from the computing device. The first contextual information and first exception information that identifies the first exception is stored in a storage device.1. A method comprising:
monitoring, by a computing device comprising a processor device, a first software development session of a user; detecting a first exception during the first software development session; in response to detecting the first exception, obtaining first contextual information from the computing device; and storing the first contextual information and first exception information that identifies the first exception in a storage device. 2. The method of claim 1 further comprising:
detecting a second exception during a second software development session;
determining that the second exception is a same exception as the first exception; and
in response to determining that the second exception is the same exception as the first exception:
accessing the first contextual information from the storage device; and
presenting at least some of the first contextual information on a display device. 3. The method of claim 2 further comprising:
obtaining second contextual information from the computing device; and
storing the second contextual information and second exception information that identifies the second exception in the storage device. 4. The method of claim 2 wherein determining that the second exception is the same exception as the first exception comprises:
obtaining second exception information that identifies the second exception;
accessing first exception information from the storage device; and
comparing the second exception information to the first exception information to determine that the second exception is the same exception as the first exception. 5. The method of claim 2 wherein accessing the first contextual information from the storage device and presenting at least some of the first contextual information on the display device further comprises automatically, without user input, accessing the first contextual information from the storage device and automatically, without user input, presenting at least some of the first contextual information on the display device. 6. The method of claim 1 wherein monitoring the first software development session of a user comprises iteratively, during the first software development session, accessing data stored in a logfile generated by a development module that executes during the first development session. 7. The method of claim 1 further comprising obtaining the first exception information from a logfile generated by a development module that executes during the first development session. 8. The method of claim 1 wherein the first contextual information comprises one or more of:
a date and time of an occurrence of the first exception;
environmental information that identifies a current operating environment of the computing device at a time substantially contemporaneous with the occurrence of the first exception;
a plurality of titles of corresponding files stored on the computing device that were opened and/or modified during a predetermined period of time after the occurrence of the first exception;
a plurality of uniform resource locators (URLs) that identify a corresponding plurality of websites visited during the predetermined period of time;
a plurality of email identifiers that identify a corresponding plurality of emails opened during the predetermined period of time;
a plurality of titles of corresponding files committed to a file repository during the predetermined period of time; or
a plurality of commands entered by the user within a period of time prior to the occurrence of the exception. 9. The method of claim 8 wherein the environmental information comprises one or more of a total size of the memory, an available amount of the memory, a size of the storage device, a number of running processes in the memory, names of the processes, or a processor utilization of the processor device. 10. The method of claim 1 wherein the first contextual information comprises one or more of:
a plurality of screenshots of the display device taking over a predetermined period of time after a time of occurrence of the first exception; and
a video depicting content presented on the display device over the predetermined period of time. 11. The method of claim 1 wherein obtaining the first contextual information further comprises receiving a user note regarding the exception, and wherein the first contextual information comprises the user note. 12. The method of claim 1 wherein detecting the first exception during the first software development session comprises:
accessing a logfile generated by a development module that executes during the first development session; and
determining that an entry in the logfile identifies the exception. 13. A computing device comprising:
a memory; a processor device coupled to the memory to:
monitor a first software development session of a user;
detect a first exception during the first software development session;
in response to detecting the first exception, obtain first contextual information from the computing device; and
store the first contextual information and first exception information that identifies the first exception in a storage device. 14. The computing device of claim 13 wherein the processor is further to:
detect a second exception during a second software development session;
determine that the second exception is a same exception as the first exception; and
in response to determining that the second exception is the same exception as the first exception:
access the first contextual information from the storage device; and
present at least some of the first contextual information on a display device. 15. The computing device of claim 14 wherein to access the first contextual information from the storage device and present at least some of the first contextual information on the display device the processor is further to automatically, without user input, access the first contextual information from the storage device and automatically, without user input, present at least some of the first contextual information on the display device. 16. The computing device of claim 13 wherein the first contextual information comprises one or more of:
a date and time of an occurrence of the first exception;
environmental information that identifies a current operating environment of the computing device at a time substantially contemporaneous with the occurrence of the first exception;
a plurality of titles of corresponding files stored on the computing device that were opened and/or modified during a predetermined period of time after the occurrence of the first exception;
a plurality of uniform resource locators (URLs) that identify a corresponding plurality of websites visited during the predetermined period of time;
a plurality of email identifiers that identify a corresponding plurality of emails opened during the predetermined period of time; or
a plurality of titles of corresponding files committed to a file repository during the predetermined period of time. 17. The computing device of claim 13 wherein the first contextual information comprises one or more of:
a plurality of screenshots of the display device taking over a predetermined period of time after a time of occurrence of the first exception; and
a video depicting content presented on the display device over the predetermined period of time. 18. A computer program product stored on a non-transitory computer-readable storage medium and including instructions to cause a processor device to:
monitor a first software development session of a user; detect a first exception during the first software development session; in response to detecting the first exception, obtain first contextual information from a computing device; and store the first contextual information and first exception information that identifies the first exception in a storage device. 19. The computer program product of claim 18 wherein the instructions are further to cause the processor to:
detect a second exception during a second software development session;
determine that the second exception is a same exception as the first exception; and
in response to determining that the second exception is the same exception as the first exception:
access the first contextual information from the storage device; and
present at least some of the first contextual information on a display device. 20. The computer program product of claim 19 wherein to access the first contextual information from the storage device and present at least some of the first contextual information on the display device, the instructions further cause the processor to automatically, without user input, access the first contextual information from the storage device and automatically, without user input, present at least some of the first contextual information on the display device. | 2,100 |
5,851 | 5,851 | 15,696,423 | 2,119 | Embodiments of systems and methods to relate welding wire to a welding power source are disclosed. One embodiment is a networked system having a server computer. The server computer is configured to receive first data including at least one of an identity or a location of a consumable source of welding wire, and at least one of a weight status, indicating a change in weight, or an energization status, indicating an energization state, of the consumable source of welding wire. The server computer is configured to receive second data including at least one of an identity or a location of a welding power source, and an activation status indicating an activation state of the welding power source. The server computer is configured to match the welding power source to the consumable source of welding wire based on at least the first data and the second data. | 1. A method of relating wire to a power source in a factory environment, the method comprising:
receiving first data associated with a consumable source of wire within a factory environment at one or more server computers in a networked system, wherein the first data indicates:
at least one of an identity or a location of the consumable source of wire within the factory environment, and
a weight status indicating a change in weight of the consumable source of wire within the factory environment;
receiving second data associated with a power source within the factory environment at the one or more server computers in the networked system, wherein the second data indicates:
at least one of an identity or a location of the power source within the factory environment, and
an activation status indicating an activation state of the power source within the factory environment; and
the one or more server computers in the networked system matching the power source to the consumable source of wire based on at least the first data and the second data, wherein the matching indicates that the power source is actively using the consumable source of wire during an operation within the factory environment. 2. The method of claim 1, wherein the consumable source of wire includes one of a drum of welding wire, a box of welding wire, or a spool of welding wire. 3. The method of claim 1, wherein the networked system includes at least one of a local area network (LAN), a wide area network (WAN), or a cloud-based network. 4. The method of claim 1, further comprising generating the weight status, indicating a change in weight of the consumable source of wire within the factory environment, via at least a scale of a wire docking station loaded with the consumable source of wire. 5. The method of claim 1, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract the identity of the consumable source of wire. 6. The method of claim 1, further comprising receiving the location of the consumable source of wire at the one or more server computers, as part of the first data, from a wire docking station loaded with the consumable source of wire. 7. The method of claim 1, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract characteristics of the consumable source of wire. 8. The method of claim 7, further comprising receiving the characteristics of the consumable source of wire, as part of the first data, at the one or more server computers in the networked system. 9. The method of claim 8, wherein the characteristics of the consumable source of wire include at least one of a wire type, a wire size, a lot code, and a wire density. 10. A method of relating wire to a power source in a factory environment, the method comprising:
receiving first data associated with a consumable source of wire within a factory environment at one or more server computers in a networked system, wherein the first data indicates:
at least one of an identity or a location of the consumable source of wire within the factory environment, and
an energization status indicating an energization state of the consumable source of wire within the factory environment;
receiving second data associated with a power source within the factory environment at the one or more server computers in the networked system, wherein the second data indicates:
at least one of an identity or a location of the power source within the factory environment, and
an activation status indicating an activation state of the power source within the factory environment; and
the one or more server computers in the networked system matching the power source to the consumable source of wire based on at least the first data and the second data, wherein the matching indicates that the power source is actively using the consumable source of wire during an operation within the factory environment. 11. The method of claim 10, wherein the consumable source of wire includes one of a drum of welding wire, a box of welding wire, or a spool of welding wire. 12. The method of claim 10, wherein the networked system includes at least one of a local area network (LAN), a wide area network (WAN), or a cloud-based network. 13. The method of claim 10, further comprising generating the energization status, indicating an energization state of the consumable source of wire within the factory environment, via at least one of a magnetic sensor or an electromagnetic sensor proximate to the consumable source of wire. 14. The method of claim 10, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract the identity of the consumable source of wire. 15. The method of claim 10, further comprising receiving the location of the consumable source of wire at the one or more server computers, as part of the first data, from a wire docking station loaded with the consumable source of wire. 16. The method of claim 10, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract characteristics of the consumable source of wire. 17. The method of claim 16, further comprising receiving the characteristics of the consumable source of wire, as part of the first data, at the one or more server computers in the networked system. 18. The method of claim 17, wherein the characteristics of the consumable source of wire include at least one of a wire type, a wire size, a lot code, and a wire density. 19. A networked system for relating wire to a power source in a factory environment, the networked system comprising:
at least one server computer configured to:
receive first data associated with a consumable source of wire within a factory environment, wherein the first data indicates:
at least one of an identity or a location of the consumable source of wire within the factory environment, and
at least one of a weight status, indicating a change in weight, or an energization status, indicating an energization state, of the consumable source of wire within the factory environment;
receive second data associated with a power source within the factory environment, wherein the second data indicates:
at least one of an identity or a location of the power source within the factory environment, and
an activation status indicating an activation state of the power source within the factory environment; and
match the power source to the consumable source of wire based on at least the first data and the second data, indicating that the power source is actively using the consumable source of wire during an operation within the factory environment. 20. The networked system of claim 19, further comprising a wire docking station, wherein the wire docking station includes:
a loading platform configured to accept the consumable source of wire, wherein the consumable source of wire includes an RFID tag encoded with characteristic information of the consumable source of wire, and wherein the characteristic information includes at least one of the identity, a wire type, a wire size, a lot code, or a wire density of the consumable source of wire; an RFID reader configured to read the characteristic information from the RFID tag when the consumable source of wire is docked with the loading platform; at least one of:
a scale configured to generate the weight status of the consumable source of wire as the consumable source of wire docked with the loading platform is consumed, or
a sensor configured to generate the energization status, indicating an energization state of the consumable source of wire, when the consumable source of wire is docked with the loading platform; and
a communication device configured to support communication of the characteristic information and at least one of the weight status or the energization status of the consumable source of wire to the at least one server computer as part of the first data. | Embodiments of systems and methods to relate welding wire to a welding power source are disclosed. One embodiment is a networked system having a server computer. The server computer is configured to receive first data including at least one of an identity or a location of a consumable source of welding wire, and at least one of a weight status, indicating a change in weight, or an energization status, indicating an energization state, of the consumable source of welding wire. The server computer is configured to receive second data including at least one of an identity or a location of a welding power source, and an activation status indicating an activation state of the welding power source. The server computer is configured to match the welding power source to the consumable source of welding wire based on at least the first data and the second data.1. A method of relating wire to a power source in a factory environment, the method comprising:
receiving first data associated with a consumable source of wire within a factory environment at one or more server computers in a networked system, wherein the first data indicates:
at least one of an identity or a location of the consumable source of wire within the factory environment, and
a weight status indicating a change in weight of the consumable source of wire within the factory environment;
receiving second data associated with a power source within the factory environment at the one or more server computers in the networked system, wherein the second data indicates:
at least one of an identity or a location of the power source within the factory environment, and
an activation status indicating an activation state of the power source within the factory environment; and
the one or more server computers in the networked system matching the power source to the consumable source of wire based on at least the first data and the second data, wherein the matching indicates that the power source is actively using the consumable source of wire during an operation within the factory environment. 2. The method of claim 1, wherein the consumable source of wire includes one of a drum of welding wire, a box of welding wire, or a spool of welding wire. 3. The method of claim 1, wherein the networked system includes at least one of a local area network (LAN), a wide area network (WAN), or a cloud-based network. 4. The method of claim 1, further comprising generating the weight status, indicating a change in weight of the consumable source of wire within the factory environment, via at least a scale of a wire docking station loaded with the consumable source of wire. 5. The method of claim 1, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract the identity of the consumable source of wire. 6. The method of claim 1, further comprising receiving the location of the consumable source of wire at the one or more server computers, as part of the first data, from a wire docking station loaded with the consumable source of wire. 7. The method of claim 1, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract characteristics of the consumable source of wire. 8. The method of claim 7, further comprising receiving the characteristics of the consumable source of wire, as part of the first data, at the one or more server computers in the networked system. 9. The method of claim 8, wherein the characteristics of the consumable source of wire include at least one of a wire type, a wire size, a lot code, and a wire density. 10. A method of relating wire to a power source in a factory environment, the method comprising:
receiving first data associated with a consumable source of wire within a factory environment at one or more server computers in a networked system, wherein the first data indicates:
at least one of an identity or a location of the consumable source of wire within the factory environment, and
an energization status indicating an energization state of the consumable source of wire within the factory environment;
receiving second data associated with a power source within the factory environment at the one or more server computers in the networked system, wherein the second data indicates:
at least one of an identity or a location of the power source within the factory environment, and
an activation status indicating an activation state of the power source within the factory environment; and
the one or more server computers in the networked system matching the power source to the consumable source of wire based on at least the first data and the second data, wherein the matching indicates that the power source is actively using the consumable source of wire during an operation within the factory environment. 11. The method of claim 10, wherein the consumable source of wire includes one of a drum of welding wire, a box of welding wire, or a spool of welding wire. 12. The method of claim 10, wherein the networked system includes at least one of a local area network (LAN), a wide area network (WAN), or a cloud-based network. 13. The method of claim 10, further comprising generating the energization status, indicating an energization state of the consumable source of wire within the factory environment, via at least one of a magnetic sensor or an electromagnetic sensor proximate to the consumable source of wire. 14. The method of claim 10, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract the identity of the consumable source of wire. 15. The method of claim 10, further comprising receiving the location of the consumable source of wire at the one or more server computers, as part of the first data, from a wire docking station loaded with the consumable source of wire. 16. The method of claim 10, further comprising reading an RFID tag of the consumable source of wire, via an RFID reader proximate to the consumable source of wire, to extract characteristics of the consumable source of wire. 17. The method of claim 16, further comprising receiving the characteristics of the consumable source of wire, as part of the first data, at the one or more server computers in the networked system. 18. The method of claim 17, wherein the characteristics of the consumable source of wire include at least one of a wire type, a wire size, a lot code, and a wire density. 19. A networked system for relating wire to a power source in a factory environment, the networked system comprising:
at least one server computer configured to:
receive first data associated with a consumable source of wire within a factory environment, wherein the first data indicates:
at least one of an identity or a location of the consumable source of wire within the factory environment, and
at least one of a weight status, indicating a change in weight, or an energization status, indicating an energization state, of the consumable source of wire within the factory environment;
receive second data associated with a power source within the factory environment, wherein the second data indicates:
at least one of an identity or a location of the power source within the factory environment, and
an activation status indicating an activation state of the power source within the factory environment; and
match the power source to the consumable source of wire based on at least the first data and the second data, indicating that the power source is actively using the consumable source of wire during an operation within the factory environment. 20. The networked system of claim 19, further comprising a wire docking station, wherein the wire docking station includes:
a loading platform configured to accept the consumable source of wire, wherein the consumable source of wire includes an RFID tag encoded with characteristic information of the consumable source of wire, and wherein the characteristic information includes at least one of the identity, a wire type, a wire size, a lot code, or a wire density of the consumable source of wire; an RFID reader configured to read the characteristic information from the RFID tag when the consumable source of wire is docked with the loading platform; at least one of:
a scale configured to generate the weight status of the consumable source of wire as the consumable source of wire docked with the loading platform is consumed, or
a sensor configured to generate the energization status, indicating an energization state of the consumable source of wire, when the consumable source of wire is docked with the loading platform; and
a communication device configured to support communication of the characteristic information and at least one of the weight status or the energization status of the consumable source of wire to the at least one server computer as part of the first data. | 2,100 |
5,852 | 5,852 | 14,089,174 | 2,116 | A motor controller coupled to a motor is described. The motor controller includes a wireless communication device and a computing device coupled to the wireless communication device. The computing device is configured to communicatively couple with a client computing device using the wireless communication device, wirelessly receive at least one setting from the client computing device, and operate the motor pursuant to the at least one setting, to move liquid in an aquatic environment. | 1. A motor controller coupled to a motor, said motor controller comprising:
a wireless communication device; and a computing device coupled to said wireless communication device, wherein said computing device is configured to:
communicatively couple with a client computing device using said wireless communication device;
wirelessly receive at least one setting from the client computing device; and
operate the motor pursuant to the at least one setting, to move liquid in an aquatic environment. 2. The motor controller of claim 1, wherein said computing device is further configured to operate the motor pursuant to the at least one setting while said computing device is not communicatively coupled to the client computing device. 3. The motor controller of claim 1, wherein said computing device is further configured to transmit data to the client computing device for displaying on an application on the client computing device. 4. The motor controller of claim 1, wherein said computing device is further configured to receive authentication credentials or a certificate from the client computing device. 5. The motor controller of claim 1, wherein said computing device is further configured to communicatively couple with the client computing device by communicatively coupling with the client computing device using a wireless local area network. 6. The motor controller of claim 1, wherein said computing device is further configured to communicatively couple with the client computing device by communicatively coupling with the client computing device using a cellular network. 7. The motor controller of claim 1, wherein said computing device is further configured to at least one of:
transmit at least one of a text message and an email to the client computing device using at least one of a cellular network, the Internet, and a cloud service, and receive at least one of a text message and an email from the client computing device using at least one of a cellular network, the Internet, and a cloud service. 8. The motor controller of claim 7, wherein said computing device is further configured such that transmitting the at least one of the text message and the email further comprises including at least one of a fault message and an indication of a change in operation of the motor in the at least one of the text message and the email. 9. The motor controller of claim 1, wherein said computing device is further configured to generate and transmit at least one of a text message, an email, and a report to the client computing device. 10. A method for enabling wireless communication with a motor controller including a wireless communication device and a computing device coupled to the wireless communication device, said method comprising:
communicatively coupling the computing device with a client computing device using the wireless communication device; wirelessly receiving, by the computing device, at least one setting from the client computing device; and operating the motor, by the computing device, pursuant to the at least one setting, to move liquid in an aquatic environment. 11. The method of claim 10, wherein said operating the motor pursuant to the at least one setting further comprises operating the motor pursuant to the at least one setting while the computing device is not communicatively coupled to the client computing device. 12. The method of claim 10, further comprising transmitting data to the client computing device for displaying on an application on the client computing device. 13. The method of claim 10, further comprising receiving authentication credentials or a certificate from the client computing device. 14. The method of claim 10, wherein said communicatively coupling the computing device with the client computing device further comprises communicatively coupling the computing device with the client computing device using a wireless local area network. 15. The method of claim 10, wherein said communicatively coupling the computing device with the client computing device further comprises communicatively coupling the computing device with the client computing device using a cellular network. 16. The method of claim 10, further comprising at least one of:
transmitting at least one of a text message and an email to the client computing device using at least one of a cellular network, the Internet, and a cloud service, and receiving at least one of a text message and an email from the client computing device using at least one of a cellular network, the Internet, and a cloud service. 17. The method of claim 16, wherein transmitting the at least one of the text message and the email further comprises including at least one of a fault message and an indication of a change in operation of the motor in the at least one of the text message and the email. 18. The method of claim 10, further comprising generating and transmitting at least one of a text message, an email, and a report to the client computing device. 19. A computer-readable storage device having processor-executable instructions embodied thereon, enabling wireless communication with a motor controller including a wireless communication device and a computing device coupled to the wireless communication device, wherein when executed by the computing device, the processor-executable instructions cause the computing device to:
communicatively couple with a client computing device using the wireless communication device; wirelessly receive at least one setting from the client computing device; and operate the motor pursuant to the at least one setting, to move liquid in an aquatic environment. 20. The computer-readable storage device of claim 19, wherein said processor-executable instructions further cause the computing device operate the motor pursuant to the at least one setting while the computing device is not communicatively coupled to the client computing device. | A motor controller coupled to a motor is described. The motor controller includes a wireless communication device and a computing device coupled to the wireless communication device. The computing device is configured to communicatively couple with a client computing device using the wireless communication device, wirelessly receive at least one setting from the client computing device, and operate the motor pursuant to the at least one setting, to move liquid in an aquatic environment.1. A motor controller coupled to a motor, said motor controller comprising:
a wireless communication device; and a computing device coupled to said wireless communication device, wherein said computing device is configured to:
communicatively couple with a client computing device using said wireless communication device;
wirelessly receive at least one setting from the client computing device; and
operate the motor pursuant to the at least one setting, to move liquid in an aquatic environment. 2. The motor controller of claim 1, wherein said computing device is further configured to operate the motor pursuant to the at least one setting while said computing device is not communicatively coupled to the client computing device. 3. The motor controller of claim 1, wherein said computing device is further configured to transmit data to the client computing device for displaying on an application on the client computing device. 4. The motor controller of claim 1, wherein said computing device is further configured to receive authentication credentials or a certificate from the client computing device. 5. The motor controller of claim 1, wherein said computing device is further configured to communicatively couple with the client computing device by communicatively coupling with the client computing device using a wireless local area network. 6. The motor controller of claim 1, wherein said computing device is further configured to communicatively couple with the client computing device by communicatively coupling with the client computing device using a cellular network. 7. The motor controller of claim 1, wherein said computing device is further configured to at least one of:
transmit at least one of a text message and an email to the client computing device using at least one of a cellular network, the Internet, and a cloud service, and receive at least one of a text message and an email from the client computing device using at least one of a cellular network, the Internet, and a cloud service. 8. The motor controller of claim 7, wherein said computing device is further configured such that transmitting the at least one of the text message and the email further comprises including at least one of a fault message and an indication of a change in operation of the motor in the at least one of the text message and the email. 9. The motor controller of claim 1, wherein said computing device is further configured to generate and transmit at least one of a text message, an email, and a report to the client computing device. 10. A method for enabling wireless communication with a motor controller including a wireless communication device and a computing device coupled to the wireless communication device, said method comprising:
communicatively coupling the computing device with a client computing device using the wireless communication device; wirelessly receiving, by the computing device, at least one setting from the client computing device; and operating the motor, by the computing device, pursuant to the at least one setting, to move liquid in an aquatic environment. 11. The method of claim 10, wherein said operating the motor pursuant to the at least one setting further comprises operating the motor pursuant to the at least one setting while the computing device is not communicatively coupled to the client computing device. 12. The method of claim 10, further comprising transmitting data to the client computing device for displaying on an application on the client computing device. 13. The method of claim 10, further comprising receiving authentication credentials or a certificate from the client computing device. 14. The method of claim 10, wherein said communicatively coupling the computing device with the client computing device further comprises communicatively coupling the computing device with the client computing device using a wireless local area network. 15. The method of claim 10, wherein said communicatively coupling the computing device with the client computing device further comprises communicatively coupling the computing device with the client computing device using a cellular network. 16. The method of claim 10, further comprising at least one of:
transmitting at least one of a text message and an email to the client computing device using at least one of a cellular network, the Internet, and a cloud service, and receiving at least one of a text message and an email from the client computing device using at least one of a cellular network, the Internet, and a cloud service. 17. The method of claim 16, wherein transmitting the at least one of the text message and the email further comprises including at least one of a fault message and an indication of a change in operation of the motor in the at least one of the text message and the email. 18. The method of claim 10, further comprising generating and transmitting at least one of a text message, an email, and a report to the client computing device. 19. A computer-readable storage device having processor-executable instructions embodied thereon, enabling wireless communication with a motor controller including a wireless communication device and a computing device coupled to the wireless communication device, wherein when executed by the computing device, the processor-executable instructions cause the computing device to:
communicatively couple with a client computing device using the wireless communication device; wirelessly receive at least one setting from the client computing device; and operate the motor pursuant to the at least one setting, to move liquid in an aquatic environment. 20. The computer-readable storage device of claim 19, wherein said processor-executable instructions further cause the computing device operate the motor pursuant to the at least one setting while the computing device is not communicatively coupled to the client computing device. | 2,100 |
5,853 | 5,853 | 14,486,001 | 2,156 | Contact manager computer system and method to dynamically generate an aggregated context information, including: a monitoring module configured: to monitor a communication session with a customer; to determine one or more communication contexts of the customer; to determine one or more communication contexts of an agent assisting the customer; to obtain customer context information from the one or more determined communication contexts of the customer; to obtain agent context information from the one or more determined communication contexts of the agent; a processor coupled to a memory, the memory configured to store context information under control of the processor; an aggregated context information generation module to generate the aggregated context information from the obtained customer context information and the obtained agent context information; an inference module to create an inference from the aggregated context information; and a display module to display a result of the inference to an agent. | 1. A contact manager computer system to dynamically generate an aggregated context information, the system comprising:
a monitoring module configured:
to monitor a communication session with a customer;
to determine one or more communication contexts of the customer;
to determine one or more communication contexts of an agent assisting the customer;
to obtain customer context information from the one or more determined communication contexts of the customer;
to obtain agent context information from the one or more determined communication contexts of the agent;
a processor coupled to a memory, the memory configured to store context information under control of the processor; an aggregated context information generation module to generate the aggregated context information from the obtained customer context information and the obtained agent context information; an inference module to create an inference from the aggregated context information; and a display module to display a result of the inference to an agent. 2. The system of claim 1, wherein the one or more determined communication contexts are determined from a Web Real Time Communication (WebRTC) communication session using a WebRTC enabled browser. 3. The system of claim 1, wherein the monitoring module is further configured to receive the one or more determined communication contexts of the customer through a separate more communication data channel. 4. The system of claim 1, wherein the aggregated context information generation module dynamically modifies the aggregated context information based on the obtained customer context information of at least one of the determined communication contexts of the customer and the determined communication contexts of the agent. 5. The system of claim 4, wherein the aggregated context information generation module is further configured to store the aggregated context information in a database. 6. The system of claim 5, wherein the display module is further configured to display the aggregated context information to agent when the customer initiates a communication session. 7. The system of claim 1, further comprising the step of reserving a resource based upon the inference. 8. The system of claim 1, wherein the aggregated context information generation module dynamically modifies the aggregated context information to include an inference drawn from the obtained customer context information of the one or more determined communication contexts. 9. The system of claim 1, wherein the aggregated context information generation module dynamically modifies the aggregated context information to include a conjecture drawn from the obtained customer context information of the one or more determined communication contexts. 10. The system of claim 9, wherein the conjecture includes a confidence score of the conjecture. 11. A computer-implemented method to dynamically generate an aggregated context information, the method comprising:
monitoring a communication session with a customer; determining one or more communication contexts of the customer; obtaining customer context information from the one or more determined communication contexts of the customer; determining one or more communication contexts of an agent assisting the customer; obtaining agent context information from the one or more determined contexts of the agent; generating the aggregated context information from the obtained customer context information and the obtained agent context information; inferring an inference from the aggregated context information; and displaying a result of the inference to an agent. 12. The method of claim 11, wherein the one or more determined communication contexts are determined from a Web Real Time Communication (WebRTC) session using a WebRTC enabled browser. 13. The method of claim 11, further comprising dynamically modifying the aggregated context information based on the obtained customer context information of the one or more communication contexts. 14. The method of claim 13, further comprising storing the aggregated context information in a database. 15. The method of claim 14, wherein the aggregated context information is displayed to the agent when the customer initiates a communication session. 16. The method of claim 11, further comprising a step of modifying the aggregated context information to include an inference drawn from the obtained customer context information of the one or more determined communication contexts. 17. The method of claim 11, further comprising a step of modifying the aggregated context information to include a conjecture drawn from the obtained customer context information of the one or more determined communication contexts. 18. The system of claim 17, wherein the conjecture includes a confidence score of the conjecture. | Contact manager computer system and method to dynamically generate an aggregated context information, including: a monitoring module configured: to monitor a communication session with a customer; to determine one or more communication contexts of the customer; to determine one or more communication contexts of an agent assisting the customer; to obtain customer context information from the one or more determined communication contexts of the customer; to obtain agent context information from the one or more determined communication contexts of the agent; a processor coupled to a memory, the memory configured to store context information under control of the processor; an aggregated context information generation module to generate the aggregated context information from the obtained customer context information and the obtained agent context information; an inference module to create an inference from the aggregated context information; and a display module to display a result of the inference to an agent.1. A contact manager computer system to dynamically generate an aggregated context information, the system comprising:
a monitoring module configured:
to monitor a communication session with a customer;
to determine one or more communication contexts of the customer;
to determine one or more communication contexts of an agent assisting the customer;
to obtain customer context information from the one or more determined communication contexts of the customer;
to obtain agent context information from the one or more determined communication contexts of the agent;
a processor coupled to a memory, the memory configured to store context information under control of the processor; an aggregated context information generation module to generate the aggregated context information from the obtained customer context information and the obtained agent context information; an inference module to create an inference from the aggregated context information; and a display module to display a result of the inference to an agent. 2. The system of claim 1, wherein the one or more determined communication contexts are determined from a Web Real Time Communication (WebRTC) communication session using a WebRTC enabled browser. 3. The system of claim 1, wherein the monitoring module is further configured to receive the one or more determined communication contexts of the customer through a separate more communication data channel. 4. The system of claim 1, wherein the aggregated context information generation module dynamically modifies the aggregated context information based on the obtained customer context information of at least one of the determined communication contexts of the customer and the determined communication contexts of the agent. 5. The system of claim 4, wherein the aggregated context information generation module is further configured to store the aggregated context information in a database. 6. The system of claim 5, wherein the display module is further configured to display the aggregated context information to agent when the customer initiates a communication session. 7. The system of claim 1, further comprising the step of reserving a resource based upon the inference. 8. The system of claim 1, wherein the aggregated context information generation module dynamically modifies the aggregated context information to include an inference drawn from the obtained customer context information of the one or more determined communication contexts. 9. The system of claim 1, wherein the aggregated context information generation module dynamically modifies the aggregated context information to include a conjecture drawn from the obtained customer context information of the one or more determined communication contexts. 10. The system of claim 9, wherein the conjecture includes a confidence score of the conjecture. 11. A computer-implemented method to dynamically generate an aggregated context information, the method comprising:
monitoring a communication session with a customer; determining one or more communication contexts of the customer; obtaining customer context information from the one or more determined communication contexts of the customer; determining one or more communication contexts of an agent assisting the customer; obtaining agent context information from the one or more determined contexts of the agent; generating the aggregated context information from the obtained customer context information and the obtained agent context information; inferring an inference from the aggregated context information; and displaying a result of the inference to an agent. 12. The method of claim 11, wherein the one or more determined communication contexts are determined from a Web Real Time Communication (WebRTC) session using a WebRTC enabled browser. 13. The method of claim 11, further comprising dynamically modifying the aggregated context information based on the obtained customer context information of the one or more communication contexts. 14. The method of claim 13, further comprising storing the aggregated context information in a database. 15. The method of claim 14, wherein the aggregated context information is displayed to the agent when the customer initiates a communication session. 16. The method of claim 11, further comprising a step of modifying the aggregated context information to include an inference drawn from the obtained customer context information of the one or more determined communication contexts. 17. The method of claim 11, further comprising a step of modifying the aggregated context information to include a conjecture drawn from the obtained customer context information of the one or more determined communication contexts. 18. The system of claim 17, wherein the conjecture includes a confidence score of the conjecture. | 2,100 |
5,854 | 5,854 | 15,718,655 | 2,196 | Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine. | 1. A system to manage virtual machines, comprising:
a cloud server platform, the cloud server platform including a substrate and logic coupled to the substrate, wherein the logic is to:
configure one or more first logical cores associated with a first virtual machine of the cloud server platform, wherein the configuration of the one or more first logical cores is based at least in part on one or more first feature settings;
determine one or more active feature settings that are specific to an active application associated with an active virtual machine based at least in part on application runtime requirements, wherein the active feature settings are different than the first feature settings;
configure one or more active logical cores associated with the active virtual machine of the cloud server platform, wherein the configuration of the one or more active logical cores is based at least in part on the one or more active feature settings; and
a power supply to provide power to the cloud server platform. 2. The system of claim 1, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application. 3. The system of claim 1, wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings. 4. The system of claim 1, wherein the logic is to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis. 5. The system of claim 4, wherein the logic is to:
iteratively identify reschedule events; and iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 6. The system of claim 1, wherein the logic is to:
store a bit mask of the active feature settings in control fields of a virtual machine control associated with the active virtual machine. 7. The system of claim 6, wherein the logic is to:
transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control; and enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 8. A method to manage virtual machines, comprising:
configuring one or more first logical cores associated with a first virtual machine of a cloud server platform, wherein configuring the one or more first logical cores is based at least in part on one or more first feature settings; determining one or more active feature settings that are specific to an active application associated with an active virtual machine based at least in part on application runtime requirements, wherein the active feature settings are different than the first feature settings; and configuring one or more active logical cores associated with the active virtual machine of the cloud server platform, wherein configuring the one or more active logical cores is based at least in part on the one or more active feature settings. 9. The method of claim 8, wherein the application runtime requirements include one or more of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application, and wherein the active feature settings comprise one or more of idle power state settings, execution power state settings, or pre-fetch settings. 10. The method of claim 8, further comprising:
independently assigning the active feature settings to the active virtual machine and independently assigning the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis; iteratively identifying reschedule events; and iteratively scheduling the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 11. The method of claim 8, further comprising:
storing a bit mask of the active feature settings in control fields of a virtual machine control associated with the active virtual machine; transferring the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control; and enforcing the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 12. At least one computer readable storage medium comprising a set of instructions, which when executed by a computing system, cause the computing system to:
configure one or more first logical cores associated with a first virtual machine of a cloud server platform, wherein the configuration of the one or more first logical cores is based at least in part on one or more first feature settings; determine one or more active feature settings that are specific to an active application associated with an active virtual machine based at least in part on application runtime requirements, wherein the active feature settings are different than the first feature settings; and configure one or more active logical cores associated with the active virtual machine of the cloud server platform, wherein the configuration of the one or more active logical cores is based at least in part on the one or more active feature settings. 13. The at least one computer readable storage medium of claim 12, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application, and wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings. 14. The at least one computer readable storage medium of claim 12, wherein the instructions, when executed, cause the computing system to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis; iteratively identify reschedule events; and iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 15. The at least one computer readable storage medium of claim 12, wherein the instructions, when executed, cause the computing system to:
store a bit mask of the active feature settings in control fields of a virtual machine control associated with the active virtual machine; transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control; and enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 16. An apparatus to manage virtual machines, comprising:
a first virtual machine of a cloud server platform, the first virtual machine comprising one or more first logical cores the first virtual machine having a first configuration to efficiently support a first feature setting arrangement on the one or more first logical cores; a feature administrator to determine an active feature setting arrangement specific to an active application based at least in part on application runtime requirements, wherein the active feature setting arrangement is different than the first feature setting arrangement; and an active virtual machine of the cloud server platform, the active virtual machine being associated with the active application, the active virtual machine comprising one or more active logical cores, the active virtual machine having an active configuration to efficiently support the active feature setting arrangement on the one or more active logical cores. 17. The apparatus of claim 16, further comprising:
the active application associated with the active virtual machine, wherein the active application is associated with application runtime requirements, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application. 18. The apparatus of claim 16, wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings. 19. The apparatus of claim 16, further comprising:
a virtual machine monitor to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis,
iteratively identify reschedule events, and
iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 20. The apparatus of claim 16, further comprising:
a virtual machine control, wherein the virtual machine control includes control fields to store a bit mask of the active feature settings, the virtual machine control associated with the active virtual machine; wherein the one or more active logical cores associated with the active virtual machine are to:
transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control, and
enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 21. The apparatus of claim 16, further comprising:
the active application associated with the active virtual machine, wherein the active application is associated with application runtime requirements, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application; wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings; a virtual machine monitor to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis,
iteratively identify reschedule events,
iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events;
a virtual machine control, wherein the virtual machine control includes control fields to store a bit mask of the active feature settings, the virtual machine control associated with the active virtual machine; wherein the one or more active logical cores associated with the active virtual machine are to: transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control, and
enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. | Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine.1. A system to manage virtual machines, comprising:
a cloud server platform, the cloud server platform including a substrate and logic coupled to the substrate, wherein the logic is to:
configure one or more first logical cores associated with a first virtual machine of the cloud server platform, wherein the configuration of the one or more first logical cores is based at least in part on one or more first feature settings;
determine one or more active feature settings that are specific to an active application associated with an active virtual machine based at least in part on application runtime requirements, wherein the active feature settings are different than the first feature settings;
configure one or more active logical cores associated with the active virtual machine of the cloud server platform, wherein the configuration of the one or more active logical cores is based at least in part on the one or more active feature settings; and
a power supply to provide power to the cloud server platform. 2. The system of claim 1, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application. 3. The system of claim 1, wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings. 4. The system of claim 1, wherein the logic is to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis. 5. The system of claim 4, wherein the logic is to:
iteratively identify reschedule events; and iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 6. The system of claim 1, wherein the logic is to:
store a bit mask of the active feature settings in control fields of a virtual machine control associated with the active virtual machine. 7. The system of claim 6, wherein the logic is to:
transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control; and enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 8. A method to manage virtual machines, comprising:
configuring one or more first logical cores associated with a first virtual machine of a cloud server platform, wherein configuring the one or more first logical cores is based at least in part on one or more first feature settings; determining one or more active feature settings that are specific to an active application associated with an active virtual machine based at least in part on application runtime requirements, wherein the active feature settings are different than the first feature settings; and configuring one or more active logical cores associated with the active virtual machine of the cloud server platform, wherein configuring the one or more active logical cores is based at least in part on the one or more active feature settings. 9. The method of claim 8, wherein the application runtime requirements include one or more of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application, and wherein the active feature settings comprise one or more of idle power state settings, execution power state settings, or pre-fetch settings. 10. The method of claim 8, further comprising:
independently assigning the active feature settings to the active virtual machine and independently assigning the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis; iteratively identifying reschedule events; and iteratively scheduling the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 11. The method of claim 8, further comprising:
storing a bit mask of the active feature settings in control fields of a virtual machine control associated with the active virtual machine; transferring the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control; and enforcing the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 12. At least one computer readable storage medium comprising a set of instructions, which when executed by a computing system, cause the computing system to:
configure one or more first logical cores associated with a first virtual machine of a cloud server platform, wherein the configuration of the one or more first logical cores is based at least in part on one or more first feature settings; determine one or more active feature settings that are specific to an active application associated with an active virtual machine based at least in part on application runtime requirements, wherein the active feature settings are different than the first feature settings; and configure one or more active logical cores associated with the active virtual machine of the cloud server platform, wherein the configuration of the one or more active logical cores is based at least in part on the one or more active feature settings. 13. The at least one computer readable storage medium of claim 12, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application, and wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings. 14. The at least one computer readable storage medium of claim 12, wherein the instructions, when executed, cause the computing system to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis; iteratively identify reschedule events; and iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 15. The at least one computer readable storage medium of claim 12, wherein the instructions, when executed, cause the computing system to:
store a bit mask of the active feature settings in control fields of a virtual machine control associated with the active virtual machine; transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control; and enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 16. An apparatus to manage virtual machines, comprising:
a first virtual machine of a cloud server platform, the first virtual machine comprising one or more first logical cores the first virtual machine having a first configuration to efficiently support a first feature setting arrangement on the one or more first logical cores; a feature administrator to determine an active feature setting arrangement specific to an active application based at least in part on application runtime requirements, wherein the active feature setting arrangement is different than the first feature setting arrangement; and an active virtual machine of the cloud server platform, the active virtual machine being associated with the active application, the active virtual machine comprising one or more active logical cores, the active virtual machine having an active configuration to efficiently support the active feature setting arrangement on the one or more active logical cores. 17. The apparatus of claim 16, further comprising:
the active application associated with the active virtual machine, wherein the active application is associated with application runtime requirements, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application. 18. The apparatus of claim 16, wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings. 19. The apparatus of claim 16, further comprising:
a virtual machine monitor to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis,
iteratively identify reschedule events, and
iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events. 20. The apparatus of claim 16, further comprising:
a virtual machine control, wherein the virtual machine control includes control fields to store a bit mask of the active feature settings, the virtual machine control associated with the active virtual machine; wherein the one or more active logical cores associated with the active virtual machine are to:
transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control, and
enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. 21. The apparatus of claim 16, further comprising:
the active application associated with the active virtual machine, wherein the active application is associated with application runtime requirements, wherein the application runtime requirements include at least one of an indication of latency sensitivity and an indication of a data reference pattern, wherein the data reference pattern includes an indication of whether the active application is a streaming application; wherein the active feature settings comprise idle power state settings, execution power state settings, or pre-fetch settings; a virtual machine monitor to:
independently assign the active feature settings to the active virtual machine and independently assign the first feature settings to the first virtual machine on a virtual machine-by-virtual machine basis,
iteratively identify reschedule events,
iteratively schedule the active virtual machine to run on a specific set of logical cores comprising the one or more active logical cores in response to identified reschedule events;
a virtual machine control, wherein the virtual machine control includes control fields to store a bit mask of the active feature settings, the virtual machine control associated with the active virtual machine; wherein the one or more active logical cores associated with the active virtual machine are to: transfer the bit mask of active feature settings specific to the active application from the control fields of the virtual machine control, and
enforce the active feature settings specific to the active application by adapting the operation of the active logical cores to support the active virtual machine and active application. | 2,100 |
5,855 | 5,855 | 14,507,763 | 2,154 | Among other things, one or more techniques and/or systems are provided for location-aware content detection. In particular, content may be grouped into topic clusters (e.g., images, articles, and/or websites may be grouped into a football cluster, an earthquake cluster, etc.). A topic of a cluster may be assigned a global ranking (e.g., based upon an importance of a topic on a global scale) and/or local rankings for local regions (e.g., based upon importance of a topic to various local regions). A local ranking may be based upon user interaction with content associated with the topic (e.g., many users from Japan may be reading about the earthquake). In this way, content may be provided to users based upon global rankings and/or local rankings (e.g., content from around the world about the earthquake may be presented to users in Japan and/or other areas that have expressed interest in the earthquake). | 1. A method for location-aware content detection, comprising:
grouping a set of content into one or more content clusters; generating one or more topic clusters based upon one or more topics identified from at least some of the one or more content clusters; grouping at least some of the set of content into at least some of the one or more topic clusters; for respective topic clusters:
assigning a global ranking to a topic of a topic cluster based upon one or more features of content grouped into the topic cluster; and
assigning a local ranking to the topic of the topic cluster based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a local region; and
presenting content to a user based upon at least one of a global ranking for a topic associated with the content or a local ranking, associated with a local region of the user, for the topic. 2. The method of claim 1, the grouping a set of content comprising:
grouping a first set of content and a second set of content into a first content cluster based upon a first feature of the first set of content correlating to a second feature of the second set of content. 3. The method of claim 1, the assigning a global ranking, comprising at least one of:
assigning the global ranking based upon a size feature associated with at least one of the topic cluster or content; assigning the global ranking based upon a freshness feature associated with at least one of a creation time or a publication time of content; assigning the global ranking based upon a source trust feature associated with a trust level for a source of content; or assigning the global ranking based upon a quality feature of content. 4. The method of claim 3, the quality feature corresponding to at least one of an image quality associated with the content, a user review for the content, a textual length of the content, or a source of the content. 5. The method of claim 1, the assigning a local ranking comprising:
deriving the local ranking based at least upon a content occurrence associated with the local region. 6. The method of claim 1, the assigning a local ranking comprising:
determining a number of user interactions with content within a time span, a user interaction corresponding to at least one of a user viewing the content, a user commenting on the content, a user reviewing the content, or a user social media post referencing the content. 7. The method of claim 1, the assigning a local ranking comprising:
assigning a second local ranking to the topic of the topic cluster based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a second local region, the second local ranking indicating that the topic has a higher interest rank to users within the second local region compared to users within the local region. 8. The method of claim 1, the presenting comprising:
selecting content of a first topic over content of a second topic based upon the first topic being assigned a first local ranking that is higher than a second local ranking of the second topic; and displaying the content through at least one of a news application or a news website. 9. A method for location-aware content detection, comprising:
ranking a topic with a local ranking based upon user engagement data associated with user interaction, by one or more users of a local region, with content associated with the topic. 10. The method of claim 9, comprising:
presenting content of the topic to a user within the local region based upon the local ranking being above a local interest threshold. 11. The method of claim 10, the presenting comprising:
presenting content originating from a second local region different than the local region. 12. The method of claim 9, comprising:
ranking a second topic with a second local ranking based upon user engagement data associated with user interaction, by one or more users of the local region, with content associated with the second topic; and selectively presenting content associated with the second topic, but not content associated with the first topic, to a user associated with the local region based upon the second local ranking being higher than the local ranking. 13. The method of claim 9, the ranking a topic comprising:
deriving the local ranking based at least upon a content occurrence associated with the local region. 14. The method of claim 9, comprising:
ranking the topic with a second local ranking based upon user engagement data associated with user interaction, by one or more users of a second local region, with content associated with the topic. 15. The method of claim 14, comprising:
selectively presenting content of the topic to users of the second local region, but not users of the first local region, based upon the second local ranking being higher than the local ranking. 16. A system for location-aware content detection, comprising:
a grouping component configured to:
group a set of content into the one or more topic clusters; and
a ranking component configured to:
for respective topic clusters:
assign a local ranking to a topic of a topic cluster based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a local region. 17. The system of claim 16, comprising a presentation component configured to:
present content, assigned to a topic cluster, to a user within the local region based upon a local ranking for a topic of the topic cluster being above a local interest threshold. 18. The system of claim 16, the ranking component configured to:
assign a second local ranking to the topic based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a second local region. 19. The system of claim 17, the presentation component configured to:
identify the user is within the local region based upon at least one of a cookie setting, a user profile, or an IP address. 20. The system of claim 17, the ranking component configured to:
for respective topic clusters:
assign a global ranking to the topic of the topic cluster based upon at least one of a size feature, a freshness feature, a trust level, or a quality feature. | Among other things, one or more techniques and/or systems are provided for location-aware content detection. In particular, content may be grouped into topic clusters (e.g., images, articles, and/or websites may be grouped into a football cluster, an earthquake cluster, etc.). A topic of a cluster may be assigned a global ranking (e.g., based upon an importance of a topic on a global scale) and/or local rankings for local regions (e.g., based upon importance of a topic to various local regions). A local ranking may be based upon user interaction with content associated with the topic (e.g., many users from Japan may be reading about the earthquake). In this way, content may be provided to users based upon global rankings and/or local rankings (e.g., content from around the world about the earthquake may be presented to users in Japan and/or other areas that have expressed interest in the earthquake).1. A method for location-aware content detection, comprising:
grouping a set of content into one or more content clusters; generating one or more topic clusters based upon one or more topics identified from at least some of the one or more content clusters; grouping at least some of the set of content into at least some of the one or more topic clusters; for respective topic clusters:
assigning a global ranking to a topic of a topic cluster based upon one or more features of content grouped into the topic cluster; and
assigning a local ranking to the topic of the topic cluster based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a local region; and
presenting content to a user based upon at least one of a global ranking for a topic associated with the content or a local ranking, associated with a local region of the user, for the topic. 2. The method of claim 1, the grouping a set of content comprising:
grouping a first set of content and a second set of content into a first content cluster based upon a first feature of the first set of content correlating to a second feature of the second set of content. 3. The method of claim 1, the assigning a global ranking, comprising at least one of:
assigning the global ranking based upon a size feature associated with at least one of the topic cluster or content; assigning the global ranking based upon a freshness feature associated with at least one of a creation time or a publication time of content; assigning the global ranking based upon a source trust feature associated with a trust level for a source of content; or assigning the global ranking based upon a quality feature of content. 4. The method of claim 3, the quality feature corresponding to at least one of an image quality associated with the content, a user review for the content, a textual length of the content, or a source of the content. 5. The method of claim 1, the assigning a local ranking comprising:
deriving the local ranking based at least upon a content occurrence associated with the local region. 6. The method of claim 1, the assigning a local ranking comprising:
determining a number of user interactions with content within a time span, a user interaction corresponding to at least one of a user viewing the content, a user commenting on the content, a user reviewing the content, or a user social media post referencing the content. 7. The method of claim 1, the assigning a local ranking comprising:
assigning a second local ranking to the topic of the topic cluster based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a second local region, the second local ranking indicating that the topic has a higher interest rank to users within the second local region compared to users within the local region. 8. The method of claim 1, the presenting comprising:
selecting content of a first topic over content of a second topic based upon the first topic being assigned a first local ranking that is higher than a second local ranking of the second topic; and displaying the content through at least one of a news application or a news website. 9. A method for location-aware content detection, comprising:
ranking a topic with a local ranking based upon user engagement data associated with user interaction, by one or more users of a local region, with content associated with the topic. 10. The method of claim 9, comprising:
presenting content of the topic to a user within the local region based upon the local ranking being above a local interest threshold. 11. The method of claim 10, the presenting comprising:
presenting content originating from a second local region different than the local region. 12. The method of claim 9, comprising:
ranking a second topic with a second local ranking based upon user engagement data associated with user interaction, by one or more users of the local region, with content associated with the second topic; and selectively presenting content associated with the second topic, but not content associated with the first topic, to a user associated with the local region based upon the second local ranking being higher than the local ranking. 13. The method of claim 9, the ranking a topic comprising:
deriving the local ranking based at least upon a content occurrence associated with the local region. 14. The method of claim 9, comprising:
ranking the topic with a second local ranking based upon user engagement data associated with user interaction, by one or more users of a second local region, with content associated with the topic. 15. The method of claim 14, comprising:
selectively presenting content of the topic to users of the second local region, but not users of the first local region, based upon the second local ranking being higher than the local ranking. 16. A system for location-aware content detection, comprising:
a grouping component configured to:
group a set of content into the one or more topic clusters; and
a ranking component configured to:
for respective topic clusters:
assign a local ranking to a topic of a topic cluster based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a local region. 17. The system of claim 16, comprising a presentation component configured to:
present content, assigned to a topic cluster, to a user within the local region based upon a local ranking for a topic of the topic cluster being above a local interest threshold. 18. The system of claim 16, the ranking component configured to:
assign a second local ranking to the topic based upon user engagement data associated with user interaction with content of the topic cluster by one or more users within a second local region. 19. The system of claim 17, the presentation component configured to:
identify the user is within the local region based upon at least one of a cookie setting, a user profile, or an IP address. 20. The system of claim 17, the ranking component configured to:
for respective topic clusters:
assign a global ranking to the topic of the topic cluster based upon at least one of a size feature, a freshness feature, a trust level, or a quality feature. | 2,100 |
5,856 | 5,856 | 15,283,553 | 2,136 | Methods and systems for electronic storage are provided. A storage system comprises a plurality of storage system front ends, a plurality of storage system back ends, and a plurality of solid state drive (SSD) agents. Each storage system front end resides on a server of a plurality of servers. Each server of the plurality of servers comprises one or more storage system back ends of the plurality of storage system back ends. Each storage system front end is able to receive I/O requests and relay information associated with the I/O requests to a relevant storage system back end. The relevant storage system back end communicates metadata associated with the I/O request to an SSD via an SSD agent. | 1. A method for operating a storage system, comprising:
receiving an I/O request by a storage system front end on a first server of a plurality of servers; determining a relevant storage system back end, of a plurality of storage system back ends, according to the I/O request, each server of the plurality of servers comprising one or more storage system back ends of the plurality of storage system back ends; relaying information associated with the I/O request to the relevant storage system back end; and communicating metadata associated with the I/O request between the relevant storage system back end and a first solid state drive (SSD) of a plurality of SSDs via an SSD agent of a plurality of SSD agents. 2. The method of claim 1, comprising:
writing the information associated with the I/O request to the first SSD, wherein the I/O request is a write operation; and migrating the information associated with the I/O request from the first SSD to an object store as a background asynchronous process. 3. The method of claim 2, wherein the object store is cloud-based. 4. The method of claim 1, comprising:
adding a second SSDs to the plurality of SSDs of the storage system; and redistributing data already written to the plurality of SSDs, wherein the redistribution is a virtualization of the storage system across the plurality of SSDs. 5. The method of claim 1, comprising:
detecting a failure of the first SSD; rebuilding data of the first SSD via data distributed across all SSDs of the plurality of SSDs that have not failed; and load balancing the data distributed across all SSDs of the plurality of SSDs that have not failed. 6. The method of claim 5, wherein rebuilding begins after the failure has been detected for a specified timeout. 7. The method of claim 5, comprising:
detecting a resolution of the failure of the first SSD; and aborting the rebuilding according to the resolution. 8. A machine-readable storage having stored thereon, a computer program having at least one code section for networking, the at least one code section being executable by a machine for causing the machine to perform:
receiving an I/O request by a storage system front end on a first server of a plurality of servers; determining a relevant storage system back end, of a plurality of storage system back ends, according to the I/O request, each server of the plurality of servers comprising one or more storage system back ends of the plurality of storage system back ends; relaying information associated with the I/O request to the relevant storage system back end; and communicating metadata associated with the I/O request between the relevant storage system back end and a first solid state drive (SSD) of a plurality of SSDs via an SSD agent of a plurality of SSD agents. 9. The machine-readable storage of claim 8, wherein the at least one code section causes the machine to perform:
writing the information associated with the I/O request to the first SSD, wherein the I/O request is a write operation; and migrating the information associated with the I/O request from the first SSD to an object store as a background asynchronous process. 10. The machine-readable storage of claim 8, wherein the at least one code section causes the machine to perform:
adding a second SSDs to the plurality of SSDs of the storage system; and redistributing data already written to the plurality of SSDs, wherein the redistribution is a virtualization of the storage system across the plurality of SSDs. 11. The machine-readable storage of claim 8, wherein the at least one code section causes the machine to perform:
detecting a failure of the first SSD; rebuilding data of the first SSD via data distributed across all SSDs of the plurality of SSDs that have not failed; and load balancing the data distributed across all SSDs of the plurality of SSDs that have not failed. 12. The machine-readable storage of claim 11, wherein rebuilding begins after the failure has been detected for a specified timeout. 13. The machine-readable storage of claim 11, wherein the at least one code section causes the machine to perform:
detecting a resolution of the failure of the first SSD; and aborting the rebuilding according to the resolution. 14. A storage system comprising:
a storage system front end on a first server of a plurality of servers; a plurality of storage system back ends, each server of the plurality of servers comprising one or more storage system back ends of the plurality of storage system back ends; and a plurality of solid state drive (SSD) agents, the storage system front end being operable to receive an I/O request and relay information associated with the I/O request to a relevant storage system back end of the plurality of storage system back ends, wherein metadata associated with the I/O request are communicated between the relevant storage system back end and a first SSD of a plurality of SSDs via a first SSD agent of the plurality of SSD agents. 15. The storage system of claim 14, wherein the first SSD agent is operable to write the information associated with the I/O request to the first SSD when the I/O request is a write operation, the information associated with the I/O request being subsequently migrated from the first SSD to an object store as a background asynchronous process. 16. The storage system of claim 15, wherein the object store is cloud-based. 17. The storage system of claim 14, comprising:
a second SSD, wherein the second SSD is added to the plurality of SSDs of the storage system and data already written to the plurality of SSDs is redistributed, wherein the redistribution is a virtualization of the storage system across the plurality of SSDs comprising the second SSD. 18. The storage system of claim 14, wherein the detection of a failure of the first SSD causes data of the first SSD to be rebuilt via data that is distributed across all SSDs of the plurality of SSDs that have not failed, the distributed data being load balanced across all SSDs of the plurality of SSDs that have not failed. 19. The storage system of claim 18, wherein the rebuilding begins after the failure has been detected for a specified timeout. 20. The storage system of claim 18, wherein the rebuilding is aborted if the failure of the first SSD is resolved before the rebuilding is complete. | Methods and systems for electronic storage are provided. A storage system comprises a plurality of storage system front ends, a plurality of storage system back ends, and a plurality of solid state drive (SSD) agents. Each storage system front end resides on a server of a plurality of servers. Each server of the plurality of servers comprises one or more storage system back ends of the plurality of storage system back ends. Each storage system front end is able to receive I/O requests and relay information associated with the I/O requests to a relevant storage system back end. The relevant storage system back end communicates metadata associated with the I/O request to an SSD via an SSD agent.1. A method for operating a storage system, comprising:
receiving an I/O request by a storage system front end on a first server of a plurality of servers; determining a relevant storage system back end, of a plurality of storage system back ends, according to the I/O request, each server of the plurality of servers comprising one or more storage system back ends of the plurality of storage system back ends; relaying information associated with the I/O request to the relevant storage system back end; and communicating metadata associated with the I/O request between the relevant storage system back end and a first solid state drive (SSD) of a plurality of SSDs via an SSD agent of a plurality of SSD agents. 2. The method of claim 1, comprising:
writing the information associated with the I/O request to the first SSD, wherein the I/O request is a write operation; and migrating the information associated with the I/O request from the first SSD to an object store as a background asynchronous process. 3. The method of claim 2, wherein the object store is cloud-based. 4. The method of claim 1, comprising:
adding a second SSDs to the plurality of SSDs of the storage system; and redistributing data already written to the plurality of SSDs, wherein the redistribution is a virtualization of the storage system across the plurality of SSDs. 5. The method of claim 1, comprising:
detecting a failure of the first SSD; rebuilding data of the first SSD via data distributed across all SSDs of the plurality of SSDs that have not failed; and load balancing the data distributed across all SSDs of the plurality of SSDs that have not failed. 6. The method of claim 5, wherein rebuilding begins after the failure has been detected for a specified timeout. 7. The method of claim 5, comprising:
detecting a resolution of the failure of the first SSD; and aborting the rebuilding according to the resolution. 8. A machine-readable storage having stored thereon, a computer program having at least one code section for networking, the at least one code section being executable by a machine for causing the machine to perform:
receiving an I/O request by a storage system front end on a first server of a plurality of servers; determining a relevant storage system back end, of a plurality of storage system back ends, according to the I/O request, each server of the plurality of servers comprising one or more storage system back ends of the plurality of storage system back ends; relaying information associated with the I/O request to the relevant storage system back end; and communicating metadata associated with the I/O request between the relevant storage system back end and a first solid state drive (SSD) of a plurality of SSDs via an SSD agent of a plurality of SSD agents. 9. The machine-readable storage of claim 8, wherein the at least one code section causes the machine to perform:
writing the information associated with the I/O request to the first SSD, wherein the I/O request is a write operation; and migrating the information associated with the I/O request from the first SSD to an object store as a background asynchronous process. 10. The machine-readable storage of claim 8, wherein the at least one code section causes the machine to perform:
adding a second SSDs to the plurality of SSDs of the storage system; and redistributing data already written to the plurality of SSDs, wherein the redistribution is a virtualization of the storage system across the plurality of SSDs. 11. The machine-readable storage of claim 8, wherein the at least one code section causes the machine to perform:
detecting a failure of the first SSD; rebuilding data of the first SSD via data distributed across all SSDs of the plurality of SSDs that have not failed; and load balancing the data distributed across all SSDs of the plurality of SSDs that have not failed. 12. The machine-readable storage of claim 11, wherein rebuilding begins after the failure has been detected for a specified timeout. 13. The machine-readable storage of claim 11, wherein the at least one code section causes the machine to perform:
detecting a resolution of the failure of the first SSD; and aborting the rebuilding according to the resolution. 14. A storage system comprising:
a storage system front end on a first server of a plurality of servers; a plurality of storage system back ends, each server of the plurality of servers comprising one or more storage system back ends of the plurality of storage system back ends; and a plurality of solid state drive (SSD) agents, the storage system front end being operable to receive an I/O request and relay information associated with the I/O request to a relevant storage system back end of the plurality of storage system back ends, wherein metadata associated with the I/O request are communicated between the relevant storage system back end and a first SSD of a plurality of SSDs via a first SSD agent of the plurality of SSD agents. 15. The storage system of claim 14, wherein the first SSD agent is operable to write the information associated with the I/O request to the first SSD when the I/O request is a write operation, the information associated with the I/O request being subsequently migrated from the first SSD to an object store as a background asynchronous process. 16. The storage system of claim 15, wherein the object store is cloud-based. 17. The storage system of claim 14, comprising:
a second SSD, wherein the second SSD is added to the plurality of SSDs of the storage system and data already written to the plurality of SSDs is redistributed, wherein the redistribution is a virtualization of the storage system across the plurality of SSDs comprising the second SSD. 18. The storage system of claim 14, wherein the detection of a failure of the first SSD causes data of the first SSD to be rebuilt via data that is distributed across all SSDs of the plurality of SSDs that have not failed, the distributed data being load balanced across all SSDs of the plurality of SSDs that have not failed. 19. The storage system of claim 18, wherein the rebuilding begins after the failure has been detected for a specified timeout. 20. The storage system of claim 18, wherein the rebuilding is aborted if the failure of the first SSD is resolved before the rebuilding is complete. | 2,100 |
5,857 | 5,857 | 14,515,137 | 2,176 | A system and computer implemented method for managing a workload in an environment is disclosed. The method may include establishing a set of criteria for providing a document preview, wherein the set of criteria includes a predetermined qualitative user-input feature. The method may also include detecting a first criterion of the set of criteria using a content recognition system configured to analyze user-generated data associated with the document. The first criterion may be correlated with a portion of the document. The method may also include generating, based on the first criterion, a document preview for the portion of the document. The method may also include presenting, in response to a triggering event for a display preview, the document preview. | 1.-15. (canceled) 16. A system for providing a document preview for a document, the system comprising:
an establishing module configured to establish a set of criteria for providing a document preview, wherein the set of criteria includes a predetermined qualitative user-input feature; a detecting module configured to detect a first criterion of the set of criteria using a content recognition system configured to analyze user-generated data associated with the document, wherein the first criterion is correlated with a portion of the document; a generating module configured to generate, based on the first criterion, a document preview for the portion of the document; and a presenting module configured to present, in response to a triggering event for a display preview, the document preview. 17. The system of claim 16, wherein the triggering event for a display preview is one or more selected from a group consisting of a cursor hover, file selection, or related category selection. 18. The system of claim 16, wherein the predetermined qualitative user-input feature includes one or more of a set of factors supplemental to the content of the document and defined based on a relationship between an intended audience for the document and a subject matter of the document. 19. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a first computing device, causes the first computing device to:
establish a set of criteria for providing a document preview, wherein the set of criteria includes a predetermined qualitative user-input feature; detect a first criterion of the set of criteria using a content recognition system configured to analyze user-generated data associated with the document, wherein the first criterion is correlated with a portion of the document; generate, based on the first criterion, a document preview for the portion of the document; and present, in response to a triggering event for a display preview, the document preview. 20. The computer program product of claim 19, wherein the first criterion is one or more selected from a group consisting of a document revision, social dialogue, or area of expertise of a viewer of the first document. | A system and computer implemented method for managing a workload in an environment is disclosed. The method may include establishing a set of criteria for providing a document preview, wherein the set of criteria includes a predetermined qualitative user-input feature. The method may also include detecting a first criterion of the set of criteria using a content recognition system configured to analyze user-generated data associated with the document. The first criterion may be correlated with a portion of the document. The method may also include generating, based on the first criterion, a document preview for the portion of the document. The method may also include presenting, in response to a triggering event for a display preview, the document preview.1.-15. (canceled) 16. A system for providing a document preview for a document, the system comprising:
an establishing module configured to establish a set of criteria for providing a document preview, wherein the set of criteria includes a predetermined qualitative user-input feature; a detecting module configured to detect a first criterion of the set of criteria using a content recognition system configured to analyze user-generated data associated with the document, wherein the first criterion is correlated with a portion of the document; a generating module configured to generate, based on the first criterion, a document preview for the portion of the document; and a presenting module configured to present, in response to a triggering event for a display preview, the document preview. 17. The system of claim 16, wherein the triggering event for a display preview is one or more selected from a group consisting of a cursor hover, file selection, or related category selection. 18. The system of claim 16, wherein the predetermined qualitative user-input feature includes one or more of a set of factors supplemental to the content of the document and defined based on a relationship between an intended audience for the document and a subject matter of the document. 19. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a first computing device, causes the first computing device to:
establish a set of criteria for providing a document preview, wherein the set of criteria includes a predetermined qualitative user-input feature; detect a first criterion of the set of criteria using a content recognition system configured to analyze user-generated data associated with the document, wherein the first criterion is correlated with a portion of the document; generate, based on the first criterion, a document preview for the portion of the document; and present, in response to a triggering event for a display preview, the document preview. 20. The computer program product of claim 19, wherein the first criterion is one or more selected from a group consisting of a document revision, social dialogue, or area of expertise of a viewer of the first document. | 2,100 |
5,858 | 5,858 | 14,319,945 | 2,175 | A system can include a processor; memory operatively coupled to the processor; a display operatively coupled to the processor; a touch sensitive surface that comprises a slider region; and assignment circuitry that assigns one of a plurality of assignable system functions to the slider region. | 1. A system comprising:
a processor; memory operatively coupled to the processor; a display operatively coupled to the processor; a touch sensitive surface that comprises a slider region; and assignment circuitry that assigns one of a plurality of assignable system functions to the slider region. 2. The system of claim 1 comprising a row of keys and wherein the slider region is disposed substantially parallel to the row of keys. 3. The system of claim 2 wherein the row of keys comprises a mechanically depressible row of keys of a mechanical keyboard. 4. The system of claim 1 wherein the touch sensitive surface comprises a menu region that comprises menu items, each of the menu items being selectable via touch input to instruct the assignment circuitry to assign a respective one of the plurality of assignable functions to the slider region. 5. The system of claim 1 wherein the plurality of assignable system functions comprises at least one firmware level function and at least one operating system level function. 6. The system of claim 1 wherein the plurality of assignable system functions comprises at least one member selected from a group consisting of a volume control function, a brightness function, a contrast function, a zoom function, a microphone sensitivity function, and a security code function. 7. The system of claim 1 wherein the touch sensitive surface comprises a multi-touch sensitive surface. 8. The system of claim 1 comprising scaling circuitry that scales touch input via the slider region to an output value. 9. The system of claim 8 wherein the scaling circuitry comprises a minimum output value parameter and a maximum output value parameter. 10. The system of claim 8 wherein the scaling circuitry comprises at least one scaling function. 11. The system of claim 1 wherein the slider region comprises a null point that defines two portions of the slider region. 12. The system of claim 1 wherein the slider region comprises electroluminescent material. 13. The system of claim 12 comprising illumination circuitry that activates the electroluminescent material responsive to touch input via the slider region. 14. The system of claim 13 wherein the illumination circuitry activates the electroluminescent material to illuminate at least one of a series of indicators. 15. The system of claim 1 comprising a microcontroller that is operatively coupled to the touch sensitive surface and to the processor. 16. The system of claim 1 wherein the touch sensitive surface comprises an interface that comprises a clock line and a data line. 17. An apparatus comprising:
a touch sensitive surface that comprises a slider region and a menu region wherein the menu region comprises menu items that correspond to functions assignable to the slider region. 18. The apparatus of claim 17 wherein at least the slider region of the touch sensitive surface comprises electroluminescent material. 19. A system comprising:
a processor; memory accessible by the processor; operating system instructions stored in the memory and executable by the processor to establish an operating system environment; a touch sensitive surface that comprises a slider region; and assignment circuitry that assigns one of a plurality of assignable functions to the slider region wherein the plurality of assignable functions comprises at least one firmware level function and at least one operating system level function. 20. The system of claim 19 wherein the at least one operating system level function comprises a function associated with an application executable in the operating system environment. 21. A method comprising:
receiving a signal; and based at least in part on the signal, assigning one of a plurality of assignable system functions to a slider region of a touch sensitive surface. 22. The method of claim 21 comprising:
receiving a signal via the slider region of the touch sensitive surface; and
responsive to receiving the signal, activating an electroluminescent circuit that illuminates a portion of the touch sensitive surface. | A system can include a processor; memory operatively coupled to the processor; a display operatively coupled to the processor; a touch sensitive surface that comprises a slider region; and assignment circuitry that assigns one of a plurality of assignable system functions to the slider region.1. A system comprising:
a processor; memory operatively coupled to the processor; a display operatively coupled to the processor; a touch sensitive surface that comprises a slider region; and assignment circuitry that assigns one of a plurality of assignable system functions to the slider region. 2. The system of claim 1 comprising a row of keys and wherein the slider region is disposed substantially parallel to the row of keys. 3. The system of claim 2 wherein the row of keys comprises a mechanically depressible row of keys of a mechanical keyboard. 4. The system of claim 1 wherein the touch sensitive surface comprises a menu region that comprises menu items, each of the menu items being selectable via touch input to instruct the assignment circuitry to assign a respective one of the plurality of assignable functions to the slider region. 5. The system of claim 1 wherein the plurality of assignable system functions comprises at least one firmware level function and at least one operating system level function. 6. The system of claim 1 wherein the plurality of assignable system functions comprises at least one member selected from a group consisting of a volume control function, a brightness function, a contrast function, a zoom function, a microphone sensitivity function, and a security code function. 7. The system of claim 1 wherein the touch sensitive surface comprises a multi-touch sensitive surface. 8. The system of claim 1 comprising scaling circuitry that scales touch input via the slider region to an output value. 9. The system of claim 8 wherein the scaling circuitry comprises a minimum output value parameter and a maximum output value parameter. 10. The system of claim 8 wherein the scaling circuitry comprises at least one scaling function. 11. The system of claim 1 wherein the slider region comprises a null point that defines two portions of the slider region. 12. The system of claim 1 wherein the slider region comprises electroluminescent material. 13. The system of claim 12 comprising illumination circuitry that activates the electroluminescent material responsive to touch input via the slider region. 14. The system of claim 13 wherein the illumination circuitry activates the electroluminescent material to illuminate at least one of a series of indicators. 15. The system of claim 1 comprising a microcontroller that is operatively coupled to the touch sensitive surface and to the processor. 16. The system of claim 1 wherein the touch sensitive surface comprises an interface that comprises a clock line and a data line. 17. An apparatus comprising:
a touch sensitive surface that comprises a slider region and a menu region wherein the menu region comprises menu items that correspond to functions assignable to the slider region. 18. The apparatus of claim 17 wherein at least the slider region of the touch sensitive surface comprises electroluminescent material. 19. A system comprising:
a processor; memory accessible by the processor; operating system instructions stored in the memory and executable by the processor to establish an operating system environment; a touch sensitive surface that comprises a slider region; and assignment circuitry that assigns one of a plurality of assignable functions to the slider region wherein the plurality of assignable functions comprises at least one firmware level function and at least one operating system level function. 20. The system of claim 19 wherein the at least one operating system level function comprises a function associated with an application executable in the operating system environment. 21. A method comprising:
receiving a signal; and based at least in part on the signal, assigning one of a plurality of assignable system functions to a slider region of a touch sensitive surface. 22. The method of claim 21 comprising:
receiving a signal via the slider region of the touch sensitive surface; and
responsive to receiving the signal, activating an electroluminescent circuit that illuminates a portion of the touch sensitive surface. | 2,100 |
5,859 | 5,859 | 14,203,836 | 2,173 | Apparatuses and devices configured with multiple user personas may be provided. For example, a device may comprise a housing embedding a display, one or more processors, and one or more memory storages. A first processor and/or memory storage may be dedicated to a first unique user persona and a second processor and/or memory storage may be dedicated to a second unique user persona. | 1. An apparatus comprising:
a housing; a display visible on a surface of the housing; a processor embedded within the housing; and a plurality of memory storages embedded within the housing coupled to the processor, wherein at least one first memory storage is dedicated to a first unique user persona and at least one second memory storage is dedicated to a second unique user persona. 2. The apparatus of claim 1, wherein the at least one first memory storage comprises a non-volatile memory storage. 3. The apparatus of claim 1, wherein the first memory storage and the second memory storage are each communicably coupled to a wireless carrier network. 4. The apparatus of claim 1, wherein the processor is operative to output a user interface associated with the first unique user persona to the display. 5. The apparatus of claim 4, further comprising a second display. 6. The apparatus of claim 5, wherein the processor is operative to output a second user interface associated with the second unique user persona to the second display. 7. The apparatus of claim 5, wherein the user interface and second user interface are respectively located on opposing sides of the mobile device housing. 8. The apparatus of claim 4, wherein the processor is operative to toggle between output of the user interface associated with the first unique user interface to the display and output of a second user interface associated with the second unique user persona to the display. 9. The apparatus of claim 8, wherein the processor is further operative to output an on-screen identifier associated with a respective unique user persona being accessed via the display. 10. An apparatus comprising:
a wireless communication module; a display; a memory storage, wherein the memory storage is segmented into a plurality of virtual partitions each associated with a unique user persona; and a processor coupled to the memory storage, the processor configured to output a user interface associated with at least one of the plurality of virtual partitions to the display, wherein the user interface is configured to control a plurality of functions associated with the wireless communication module. 11. The apparatus of claim 10, wherein the user interface comprises a partitioned on-screen display, wherein each partition corresponds to a respective unique user persona. 12. The apparatus of claim 10, wherein each of the plurality of virtual partitions of the memory storage is associated with a unique respective operating system. 13. The apparatus of claim 10, wherein each of the plurality of virtual partitions of the memory storage is communicably coupled to a unique respective wireless carrier network. 14. A mobile device comprising:
a mobile device housing; at least one wireless communication module embedded within the device housing; a memory storage embedded within the device housing, wherein the memory storage comprises data associated with a plurality of unique user personas; and a processor embedded within the mobile device housing configured to:
provide a plurality of user interfaces accessible by a user of the mobile device, wherein each of the plurality of user interfaces is associated with a respective one of the plurality of unique user personas,
provide an indication associated with each of the plurality of unique user personas identifying the respective one of the plurality of unique user personas currently being provided, and
toggle between a first user interface associated with a first respective unique user persona and a second user interface associated with a second respective unique user persona in response to a toggle indication. 15. The mobile device of claim 14, wherein the toggle indication comprises an interaction with the first user interface. 16. The mobile device of claim 14, wherein the toggle indication comprises an operation of a physical toggle button retained in a housing of the apparatus. 17. The mobile device of claim 14, wherein the toggle indication comprises an instruction received via the wireless communication module. 18. The mobile device of claim 14, wherein each of the plurality of unique user personas is associated with a subscriber identity module (SIM). 19. The mobile device of claim 18, wherein at least one first subscriber identity module (SIM) comprises a physical SIM and at least one second SIM comprises a virtual SIM. 20. The mobile device of claim 14, further comprising at least one second processor, wherein each respective processor is operatively dedicated to a respective unique user persona of the plurality of unique user personas. | Apparatuses and devices configured with multiple user personas may be provided. For example, a device may comprise a housing embedding a display, one or more processors, and one or more memory storages. A first processor and/or memory storage may be dedicated to a first unique user persona and a second processor and/or memory storage may be dedicated to a second unique user persona.1. An apparatus comprising:
a housing; a display visible on a surface of the housing; a processor embedded within the housing; and a plurality of memory storages embedded within the housing coupled to the processor, wherein at least one first memory storage is dedicated to a first unique user persona and at least one second memory storage is dedicated to a second unique user persona. 2. The apparatus of claim 1, wherein the at least one first memory storage comprises a non-volatile memory storage. 3. The apparatus of claim 1, wherein the first memory storage and the second memory storage are each communicably coupled to a wireless carrier network. 4. The apparatus of claim 1, wherein the processor is operative to output a user interface associated with the first unique user persona to the display. 5. The apparatus of claim 4, further comprising a second display. 6. The apparatus of claim 5, wherein the processor is operative to output a second user interface associated with the second unique user persona to the second display. 7. The apparatus of claim 5, wherein the user interface and second user interface are respectively located on opposing sides of the mobile device housing. 8. The apparatus of claim 4, wherein the processor is operative to toggle between output of the user interface associated with the first unique user interface to the display and output of a second user interface associated with the second unique user persona to the display. 9. The apparatus of claim 8, wherein the processor is further operative to output an on-screen identifier associated with a respective unique user persona being accessed via the display. 10. An apparatus comprising:
a wireless communication module; a display; a memory storage, wherein the memory storage is segmented into a plurality of virtual partitions each associated with a unique user persona; and a processor coupled to the memory storage, the processor configured to output a user interface associated with at least one of the plurality of virtual partitions to the display, wherein the user interface is configured to control a plurality of functions associated with the wireless communication module. 11. The apparatus of claim 10, wherein the user interface comprises a partitioned on-screen display, wherein each partition corresponds to a respective unique user persona. 12. The apparatus of claim 10, wherein each of the plurality of virtual partitions of the memory storage is associated with a unique respective operating system. 13. The apparatus of claim 10, wherein each of the plurality of virtual partitions of the memory storage is communicably coupled to a unique respective wireless carrier network. 14. A mobile device comprising:
a mobile device housing; at least one wireless communication module embedded within the device housing; a memory storage embedded within the device housing, wherein the memory storage comprises data associated with a plurality of unique user personas; and a processor embedded within the mobile device housing configured to:
provide a plurality of user interfaces accessible by a user of the mobile device, wherein each of the plurality of user interfaces is associated with a respective one of the plurality of unique user personas,
provide an indication associated with each of the plurality of unique user personas identifying the respective one of the plurality of unique user personas currently being provided, and
toggle between a first user interface associated with a first respective unique user persona and a second user interface associated with a second respective unique user persona in response to a toggle indication. 15. The mobile device of claim 14, wherein the toggle indication comprises an interaction with the first user interface. 16. The mobile device of claim 14, wherein the toggle indication comprises an operation of a physical toggle button retained in a housing of the apparatus. 17. The mobile device of claim 14, wherein the toggle indication comprises an instruction received via the wireless communication module. 18. The mobile device of claim 14, wherein each of the plurality of unique user personas is associated with a subscriber identity module (SIM). 19. The mobile device of claim 18, wherein at least one first subscriber identity module (SIM) comprises a physical SIM and at least one second SIM comprises a virtual SIM. 20. The mobile device of claim 14, further comprising at least one second processor, wherein each respective processor is operatively dedicated to a respective unique user persona of the plurality of unique user personas. | 2,100 |
5,860 | 5,860 | 15,171,411 | 2,173 | Disclosed are various examples for multi-persona management on a client device. In one example, a client device can be configured to maintain multiple personas for a single user where each of the personas includes a unique configuration of the client device. A first one of the personas can include an enterprise persona while a second one of the personas can include a personal persona. Different methods of authentication can result in the client device toggling between the enterprise persona and the personal persona where the client device is managed by a device management service, for example, when the client device is configured in accordance with the enterprise persona. | 1. A non-transitory computer-readable medium for logging a single user into one of a plurality of personas on a client device comprising program instructions that, when executed by at least one hardware processor of the client device, cause the client device to:
maintain the plurality of personas for the single user on the client device, each of the plurality of personas comprising a unique configuration of the client device, wherein a first one of the plurality of personas comprises an enterprise persona and a second one of the plurality of personas comprises a personal persona; identify an authentication being made on the client device by the single user using one of a first authentication method or a second authentication method; in response to the first authentication method being used in the authentication, toggle the client device in accordance with the enterprise persona, wherein the client device is managed by a device management service when the client device is toggled in accordance with the enterprise persona; and in response to the second authentication method being used in the authentication, toggle the client device in accordance with the personal persona, wherein the client device is not managed by the device management service when the client device is toggled in accordance with the personal persona. 2. The non-transitory computer-readable medium of claim 1, wherein maintaining the plurality of personas for the single user on the client device further comprises maintaining a first memory partition for the enterprise persona and a second memory partition for the personal persona, wherein the first memory partition is separate from the second memory partition. 3. The non-transitory computer-readable medium of claim 1, wherein:
the first authentication method comprises scanning a first finger of the single user using a fingerprint reader communicatively coupled to the client device; and the second authentication method comprises scanning a second finger of the single user using the fingerprint reader communicatively coupled to the client device, the second finger being different than the first finger. 4. The non-transitory computer-readable medium of claim 1, wherein:
the first authentication method comprises detecting entry of a first password provided by the single user in association with the client device; and the second authentication method comprises detecting entry of a second password provided by the single user in association with the client device, the second password being different than the first password. 5. The non-transitory computer-readable medium of claim 1, wherein the unique configuration comprises at least one of: a setting, a policy, a rule, or an attribute customized in association with a user environment. 6. The non-transitory computer-readable medium of claim 1, wherein the enterprise persona or the personal persona comprises a virtual separation of at least one hardware component of the client device, wherein the at least one hardware component comprises a hardware processor, a battery, or memory. 7. The non-transitory computer-readable medium of claim 1, wherein the at least one application executable in a client device further comprises program instructions that, when executed by the at least one hardware processor of the client device, cause the client device to limit access to content for at least the enterprise persona based at least in part on a time, a location of the client device, a presence of another device, a software version, or a required component of software. 8. A method for logging a single user into one of a plurality of personas on a client device, comprising:
maintaining the plurality of personas for the single user on the client device, each of the plurality of personas comprising a unique configuration of the client device, wherein a first one of the plurality of personas comprises an enterprise persona and a second one of the plurality of personas comprises a personal persona; identifying an authentication being made on the client device by the single user using one of a first authentication method or a second authentication method; in response to the first authentication method being used in the authentication, toggling the client device in accordance with the enterprise persona, wherein the client device is managed by a device management service when the client device is toggled in accordance with the enterprise persona; and in response to the second authentication method being used in the authentication, toggling the client device in accordance with the personal persona, wherein the client device is not managed by the device management service when the client device is toggled in accordance with the personal persona. 9. The method of claim 8, wherein maintaining the plurality of personas for the single user on the client device further comprises maintaining a first memory partition for the enterprise persona and a second memory partition for the personal persona, wherein the first memory partition is separate from the second memory partition. 10. The method of claim 8, wherein:
the first authentication method comprises scanning a first finger of the single user using a fingerprint reader communicatively coupled to the client device; and the second authentication method comprises scanning a second finger of the single user using the fingerprint reader communicatively coupled to the client device, the second finger being different than the first finger. 11. The method of claim 8, wherein:
the first authentication method comprises detecting entry of a first personal identification number provided by the single user in association with the client device; and the second authentication method comprises detecting entry of a second personal identification number provided by the single user in association with the client device, the second personal identification number being different than the first personal identification number. 12. The method of claim 8, wherein the unique configuration comprises at least one of: a setting, a policy, a rule, or an attribute customized in association with a user environment. 13. The method of claim 8, wherein the enterprise persona or the personal persona comprises a virtual separation of at least one hardware component of the client device, wherein the at least one hardware component comprises a hardware processor, a battery, or memory. 14. The method of claim 8, further comprising limiting access to content for at least the enterprise persona based at least in part on a time, a location of the client device, a presence of another device, a software version, or a required component of software. 15. A system for logging a single user into one of a plurality of personas, comprising:
a client device comprising at least one hardware processor and in data communication with a device management service over a network; program instructions that, when executed by the client device, cause the client device to:
maintain the plurality of personas for the single user on the client device, each of the plurality of personas comprising a unique configuration of the client device, wherein a first one of the plurality of personas comprises an enterprise persona and a second one of the plurality of personas comprises a personal persona;
identify an authentication being made on the client device by the single user using one of a first authentication method or a second authentication method;
in response to the first authentication method being used in the authentication, toggle the client device in accordance with the enterprise persona, wherein the client device is managed by the device management service when the client device is toggled in accordance with the enterprise persona; and
in response to the second authentication method being used in the authentication, toggle the client device in accordance with the personal persona, wherein the client device is not managed by the device management service when the client device is toggled in accordance with the personal persona. 16. The system of claim 15, wherein maintaining the plurality of personas for the single user on the client device further comprises maintaining a first memory partition for the enterprise persona and a second memory partition for the personal persona, wherein the first memory partition is separate from the second memory partition. 17. The system of claim 15, wherein:
the first authentication method comprises scanning a first finger of the single user using a fingerprint reader communicatively coupled to the client device; and the second authentication method comprises scanning a second finger of the single user using the fingerprint reader communicatively coupled to the client device, the second finger being different than the first finger. 18. The system of claim 15, wherein:
the first authentication method comprises detecting entry of a first personal identification number provided by the single user in association with the client device; and the second authentication method comprises detecting entry of a second personal identification number provided by the single user in association with the client device, the second personal identification number being different than the first personal identification number. 19. The system of claim 15, wherein the unique configuration comprises at least one of: a setting, a policy, a rule, or an attribute customized in association with a user environment. 20. The system of claim 15, wherein the enterprise persona or the personal persona comprises a virtual separation of at least one hardware component of the client device, wherein the at least one hardware component comprises a hardware processor, a battery, or memory. | Disclosed are various examples for multi-persona management on a client device. In one example, a client device can be configured to maintain multiple personas for a single user where each of the personas includes a unique configuration of the client device. A first one of the personas can include an enterprise persona while a second one of the personas can include a personal persona. Different methods of authentication can result in the client device toggling between the enterprise persona and the personal persona where the client device is managed by a device management service, for example, when the client device is configured in accordance with the enterprise persona.1. A non-transitory computer-readable medium for logging a single user into one of a plurality of personas on a client device comprising program instructions that, when executed by at least one hardware processor of the client device, cause the client device to:
maintain the plurality of personas for the single user on the client device, each of the plurality of personas comprising a unique configuration of the client device, wherein a first one of the plurality of personas comprises an enterprise persona and a second one of the plurality of personas comprises a personal persona; identify an authentication being made on the client device by the single user using one of a first authentication method or a second authentication method; in response to the first authentication method being used in the authentication, toggle the client device in accordance with the enterprise persona, wherein the client device is managed by a device management service when the client device is toggled in accordance with the enterprise persona; and in response to the second authentication method being used in the authentication, toggle the client device in accordance with the personal persona, wherein the client device is not managed by the device management service when the client device is toggled in accordance with the personal persona. 2. The non-transitory computer-readable medium of claim 1, wherein maintaining the plurality of personas for the single user on the client device further comprises maintaining a first memory partition for the enterprise persona and a second memory partition for the personal persona, wherein the first memory partition is separate from the second memory partition. 3. The non-transitory computer-readable medium of claim 1, wherein:
the first authentication method comprises scanning a first finger of the single user using a fingerprint reader communicatively coupled to the client device; and the second authentication method comprises scanning a second finger of the single user using the fingerprint reader communicatively coupled to the client device, the second finger being different than the first finger. 4. The non-transitory computer-readable medium of claim 1, wherein:
the first authentication method comprises detecting entry of a first password provided by the single user in association with the client device; and the second authentication method comprises detecting entry of a second password provided by the single user in association with the client device, the second password being different than the first password. 5. The non-transitory computer-readable medium of claim 1, wherein the unique configuration comprises at least one of: a setting, a policy, a rule, or an attribute customized in association with a user environment. 6. The non-transitory computer-readable medium of claim 1, wherein the enterprise persona or the personal persona comprises a virtual separation of at least one hardware component of the client device, wherein the at least one hardware component comprises a hardware processor, a battery, or memory. 7. The non-transitory computer-readable medium of claim 1, wherein the at least one application executable in a client device further comprises program instructions that, when executed by the at least one hardware processor of the client device, cause the client device to limit access to content for at least the enterprise persona based at least in part on a time, a location of the client device, a presence of another device, a software version, or a required component of software. 8. A method for logging a single user into one of a plurality of personas on a client device, comprising:
maintaining the plurality of personas for the single user on the client device, each of the plurality of personas comprising a unique configuration of the client device, wherein a first one of the plurality of personas comprises an enterprise persona and a second one of the plurality of personas comprises a personal persona; identifying an authentication being made on the client device by the single user using one of a first authentication method or a second authentication method; in response to the first authentication method being used in the authentication, toggling the client device in accordance with the enterprise persona, wherein the client device is managed by a device management service when the client device is toggled in accordance with the enterprise persona; and in response to the second authentication method being used in the authentication, toggling the client device in accordance with the personal persona, wherein the client device is not managed by the device management service when the client device is toggled in accordance with the personal persona. 9. The method of claim 8, wherein maintaining the plurality of personas for the single user on the client device further comprises maintaining a first memory partition for the enterprise persona and a second memory partition for the personal persona, wherein the first memory partition is separate from the second memory partition. 10. The method of claim 8, wherein:
the first authentication method comprises scanning a first finger of the single user using a fingerprint reader communicatively coupled to the client device; and the second authentication method comprises scanning a second finger of the single user using the fingerprint reader communicatively coupled to the client device, the second finger being different than the first finger. 11. The method of claim 8, wherein:
the first authentication method comprises detecting entry of a first personal identification number provided by the single user in association with the client device; and the second authentication method comprises detecting entry of a second personal identification number provided by the single user in association with the client device, the second personal identification number being different than the first personal identification number. 12. The method of claim 8, wherein the unique configuration comprises at least one of: a setting, a policy, a rule, or an attribute customized in association with a user environment. 13. The method of claim 8, wherein the enterprise persona or the personal persona comprises a virtual separation of at least one hardware component of the client device, wherein the at least one hardware component comprises a hardware processor, a battery, or memory. 14. The method of claim 8, further comprising limiting access to content for at least the enterprise persona based at least in part on a time, a location of the client device, a presence of another device, a software version, or a required component of software. 15. A system for logging a single user into one of a plurality of personas, comprising:
a client device comprising at least one hardware processor and in data communication with a device management service over a network; program instructions that, when executed by the client device, cause the client device to:
maintain the plurality of personas for the single user on the client device, each of the plurality of personas comprising a unique configuration of the client device, wherein a first one of the plurality of personas comprises an enterprise persona and a second one of the plurality of personas comprises a personal persona;
identify an authentication being made on the client device by the single user using one of a first authentication method or a second authentication method;
in response to the first authentication method being used in the authentication, toggle the client device in accordance with the enterprise persona, wherein the client device is managed by the device management service when the client device is toggled in accordance with the enterprise persona; and
in response to the second authentication method being used in the authentication, toggle the client device in accordance with the personal persona, wherein the client device is not managed by the device management service when the client device is toggled in accordance with the personal persona. 16. The system of claim 15, wherein maintaining the plurality of personas for the single user on the client device further comprises maintaining a first memory partition for the enterprise persona and a second memory partition for the personal persona, wherein the first memory partition is separate from the second memory partition. 17. The system of claim 15, wherein:
the first authentication method comprises scanning a first finger of the single user using a fingerprint reader communicatively coupled to the client device; and the second authentication method comprises scanning a second finger of the single user using the fingerprint reader communicatively coupled to the client device, the second finger being different than the first finger. 18. The system of claim 15, wherein:
the first authentication method comprises detecting entry of a first personal identification number provided by the single user in association with the client device; and the second authentication method comprises detecting entry of a second personal identification number provided by the single user in association with the client device, the second personal identification number being different than the first personal identification number. 19. The system of claim 15, wherein the unique configuration comprises at least one of: a setting, a policy, a rule, or an attribute customized in association with a user environment. 20. The system of claim 15, wherein the enterprise persona or the personal persona comprises a virtual separation of at least one hardware component of the client device, wherein the at least one hardware component comprises a hardware processor, a battery, or memory. | 2,100 |
5,861 | 5,861 | 14,357,444 | 2,142 | A method, apparatus, computer program and user interface wherein the method comprises detecting a user input wherein the user input comprises deforming at least a portion of a housing of an apparatus; and in response to detecting the user input, varying the amount of content displayed on a display, in dependence upon the deformation made to the housing of the apparatus. | 1. A method comprising:
enabling a plurality of user selectable control elements to be displayed, detecting a user input wherein the user input comprises deforming at least a portion of a housing of an apparatus; and in response to detecting the user input, enabling at least one additional user selectable control element to be displayed for at least one of the plurality of user selectable control elements previously displayed on the display, in dependence upon the deformation made to the housing of the apparatus. 2. A method as claimed in claim 1 wherein the housing comprises an external casing of the apparatus. 3. A method as claimed in claim 1 wherein the user input comprises applying stress to the housing of the apparatus to cause the deformation. 4. A method as claimed in claim 1 wherein the deformation comprises at least one of bending at least a portion of the housing of the apparatus, or stretching at least a portion of the housing of the apparatus. 5-7. (canceled) 8. A method as claimed in claim 1 wherein the number of additional user selectable control elements displayed is dependent upon a magnitude of the deformation. 9. A method as claimed in claim 1 wherein returning the apparatus to an un-deformed state causes the additional user selectable control elements displayed on the display to be removed from the display. 10. A method as claimed in claim 1 further comprising controlling the display to fix the content displayed on the display so that returning the apparatus to an un-deformed state does not remove the additional user selectable control elements from the display. 11-15. (canceled) 16. An apparatus comprising:
at least one processor; and at least one memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, enable the apparatus to: enable a plurality of user selectable control elements to be displayed, detect a user input wherein the user input comprises deforming at least a portion of a housing of the apparatus; and in response to detecting the user input, enable at least one additional user selectable control element to be displayed for each user selectable control element previously displayed on the display, in dependence upon the deformation made to the housing of the apparatus. 17. An apparatus as claimed in claim 16 wherein the housing comprises an external casing of the apparatus. 18. An apparatus as claimed in claim 16 wherein the user input comprises applying stress to the housing of the apparatus to cause the deformation. 19. An apparatus as claimed in claim 16 wherein the deformation comprises at least one of bending at least a portion of the housing of the apparatus, or stretching at least a portion of the housing of the apparatus. 20-22. (canceled) 23. An apparatus as claimed in claim 16 wherein the number of additional user control elements displayed is dependent upon a magnitude of the deformation. 24. An apparatus as claimed in claim 16 wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the additional user selectable control elements displayed on the display to be removed in response to detecting that the apparatus is returned to an un-deformed state. 25-30. (canceled) 31. A non-transitory physical entity comprising computer program comprising computer program instructions that, when executed by at least one processor, cause an apparatus at least to perform:
enabling a plurality of user selectable control elements to be displayed, detecting a user input wherein the user input comprises deforming at least a portion of a housing of an apparatus; and in response to detecting the user input, enabling at least one additional user selectable control element to be displayed for each user selectable control element previously displayed on the display, in dependence upon the deformation made to the housing of the apparatus. 32-38. (canceled) 39. A method as claimed in claim 1 wherein each user selectable control element is associated with an application so that the user selectable control element provides a shortcut to at least one of a function associated with an application or a content item associated with the application. 40. A method as claimed in claim 39 wherein the additional user selectable control elements comprise at least one of the most recently used shortcut, or the most frequently used shortcut. 41. A method as claimed in claim 1 wherein at least one additional user selectable control element is provided for each user selectable control element previously displayed on the display. 42. An apparatus as claimed in claim 16 wherein each user selectable control element is associated with an application so that the user selectable control element provides a shortcut to at least one of a function associated with an application or a content item associated with the application. 43. An apparatus as claimed in claim 16 wherein the additional user selectable control elements comprise at least one of the most recently used shortcut or the most frequently used shortcut. 44. An apparatus as claimed in claim 16 wherein at least one additional user selectable control element is provided for each user selectable control element previously displayed on the display. | A method, apparatus, computer program and user interface wherein the method comprises detecting a user input wherein the user input comprises deforming at least a portion of a housing of an apparatus; and in response to detecting the user input, varying the amount of content displayed on a display, in dependence upon the deformation made to the housing of the apparatus.1. A method comprising:
enabling a plurality of user selectable control elements to be displayed, detecting a user input wherein the user input comprises deforming at least a portion of a housing of an apparatus; and in response to detecting the user input, enabling at least one additional user selectable control element to be displayed for at least one of the plurality of user selectable control elements previously displayed on the display, in dependence upon the deformation made to the housing of the apparatus. 2. A method as claimed in claim 1 wherein the housing comprises an external casing of the apparatus. 3. A method as claimed in claim 1 wherein the user input comprises applying stress to the housing of the apparatus to cause the deformation. 4. A method as claimed in claim 1 wherein the deformation comprises at least one of bending at least a portion of the housing of the apparatus, or stretching at least a portion of the housing of the apparatus. 5-7. (canceled) 8. A method as claimed in claim 1 wherein the number of additional user selectable control elements displayed is dependent upon a magnitude of the deformation. 9. A method as claimed in claim 1 wherein returning the apparatus to an un-deformed state causes the additional user selectable control elements displayed on the display to be removed from the display. 10. A method as claimed in claim 1 further comprising controlling the display to fix the content displayed on the display so that returning the apparatus to an un-deformed state does not remove the additional user selectable control elements from the display. 11-15. (canceled) 16. An apparatus comprising:
at least one processor; and at least one memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, enable the apparatus to: enable a plurality of user selectable control elements to be displayed, detect a user input wherein the user input comprises deforming at least a portion of a housing of the apparatus; and in response to detecting the user input, enable at least one additional user selectable control element to be displayed for each user selectable control element previously displayed on the display, in dependence upon the deformation made to the housing of the apparatus. 17. An apparatus as claimed in claim 16 wherein the housing comprises an external casing of the apparatus. 18. An apparatus as claimed in claim 16 wherein the user input comprises applying stress to the housing of the apparatus to cause the deformation. 19. An apparatus as claimed in claim 16 wherein the deformation comprises at least one of bending at least a portion of the housing of the apparatus, or stretching at least a portion of the housing of the apparatus. 20-22. (canceled) 23. An apparatus as claimed in claim 16 wherein the number of additional user control elements displayed is dependent upon a magnitude of the deformation. 24. An apparatus as claimed in claim 16 wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the additional user selectable control elements displayed on the display to be removed in response to detecting that the apparatus is returned to an un-deformed state. 25-30. (canceled) 31. A non-transitory physical entity comprising computer program comprising computer program instructions that, when executed by at least one processor, cause an apparatus at least to perform:
enabling a plurality of user selectable control elements to be displayed, detecting a user input wherein the user input comprises deforming at least a portion of a housing of an apparatus; and in response to detecting the user input, enabling at least one additional user selectable control element to be displayed for each user selectable control element previously displayed on the display, in dependence upon the deformation made to the housing of the apparatus. 32-38. (canceled) 39. A method as claimed in claim 1 wherein each user selectable control element is associated with an application so that the user selectable control element provides a shortcut to at least one of a function associated with an application or a content item associated with the application. 40. A method as claimed in claim 39 wherein the additional user selectable control elements comprise at least one of the most recently used shortcut, or the most frequently used shortcut. 41. A method as claimed in claim 1 wherein at least one additional user selectable control element is provided for each user selectable control element previously displayed on the display. 42. An apparatus as claimed in claim 16 wherein each user selectable control element is associated with an application so that the user selectable control element provides a shortcut to at least one of a function associated with an application or a content item associated with the application. 43. An apparatus as claimed in claim 16 wherein the additional user selectable control elements comprise at least one of the most recently used shortcut or the most frequently used shortcut. 44. An apparatus as claimed in claim 16 wherein at least one additional user selectable control element is provided for each user selectable control element previously displayed on the display. | 2,100 |
5,862 | 5,862 | 13,656,512 | 2,122 | A system and method to recommend one or more application resources to a user with consideration for the various devices and computing platforms the user operates. | 1. A method for recommending an application resource, the method being implemented by one or more processors and comprising:
receiving a trigger that identifies a target, the target being associated with multiple computing devices that utilize different computing platforms; determining information about the target, including a device profile for each of the multiple computing devices associated with the target, the device profile for each of the multiple computing devices identifying a computing platform for that computing device; and determining a recommended set of application resources for the user based at least in part on the device profiles for each of the multiple computing devices. 2. The method of claim 1, further comprising determining, from the trigger, a context for the user activity being performed on at least one of the multiple computing devices; and
wherein determining the recommended set of application resources is also based at least in part on the context of the user activity. 3. The method of claim 2, wherein the context is based on a web page from which the trigger is generated. 4. The method of claim 2, wherein the context is based on a user activity from which the trigger is generated. 5. The method of claim 1, wherein determining the recommended set of application resources includes recommending a first application resource for a first computing device of the target that utilizes a first computing platform, and a second application resource for a second computing device of the target that utilizes a second computing platform. 6. The method of claim 5, wherein the first application resource and the second application resource are provided from a same developer. 7. The method of claim 5, wherein the second application resource is a browser plug-in or extension variation of the first application resource. 8. The method of claim 1, wherein recommending the set of application resources includes recommending an application resource for a specific computing device of the target, based on the device profiles of two or more of the multiple computing devices. 9. The method of claim 1, wherein the device profile for each of the multiple computing devices includes a list of applications that are resident on that computing device. 10. The method of claim 1, wherein determining information about the target includes determining a usage profile for each of the multiple computing devices, and wherein recommending the set of application resources is based on the usage profile determined for each of the multiple computing devices. 11. The method of claim 1, wherein determining the set of recommended resources includes recommending one or more applications for each of at least two computing devices of the target that operate using different computing platforms. 12. The method of claim 1, wherein determining the recommended set of application resources includes (i) determining a candidate set of application resources, and (ii) determining the recommended set of application resources by prioritizing the candidate set, and
wherein prioritizing the candidate set is based on a set of service data signals that is determined from a group of users. 13. The method of claim 12, wherein the set of service data signals includes a signal that identifies one or more application resources that are most popular or trending in popularity amongst a group of users. 14. The method of claim 12, wherein the set of service data signals includes information determined from social media. 15. The method of claim 12, wherein prioritizing the candidate set includes ranking the set of resources. 16. The method of claim 12, wherein prioritizing the candidate set of resources includes filtering the set of resources. 17. The method of claim 12, wherein the set of service data signals includes data indicating a popularity or sentiment of individual application resources one or more social networking sources. 18. The method of claim 1, wherein the set of service data signals includes multiple components, and wherein the method further comprises weighting the components that comprise the service data signals. 19. The method of claim 12, further comprising determining demographic information for a user, and wherein prioritizing the candidate set includes ranking or filtering the candidate set based on the demographic information of the user. 20. The method of claim 1, further comprising providing the user with a list of programs to download on each of the multiple computing devices. 21. A method for recommending a resource, the method being implemented by one or more processors and comprising:
receiving a first trigger that identifies a computing device and a first context for a user activity being performed on the computing device; determining a device profile for the computing device, the device profile identifying a computing platform for that computing device; and determining a first recommended set of application resources for a user of the computing device based at least in part on the device profile of the computing device and the first context. 22. The method of claim 21, further comprising:
receiving a second trigger that identifies a second context for a user activity being performed on the computing device, and determining a second recommended set of application resources for the user of the computing device based at least in part on the device profile of the computing device, the first context and the second context, the second recommended set of application resources being different than the first recommended set of application resources. 23. The method of claim 22, wherein the first recommended set of application resources is determined using a first algorithm or set of rules that is determined from the first context, and wherein the second recommended set of application resources is determined using a second algorithm or set of rules that is based on the second context. 24. The method of claim 23, wherein the first context is based on a user downloading a first type of web page, and wherein the second context is based on the user downloading a second type of web page. 25. The method of claim 24, wherein the first context corresponds to a download page for a corresponding application resource, and the second context corresponds to a post-download page for a corresponding application resource that was previously downloaded. 26. The method of claim 25, wherein the first set of recommended application resources identifies one or more alternative application resources to the corresponding application resource, and the second recommended set of application resources identifies one or more application resources that are complementary to the corresponding application resource that was previously downloaded. 27. The method of claim 26, wherein the second recommended set of application resources identifies a plug-in or extension variation to the corresponding application resource that was previously downloaded. 28. The method of claim 26, wherein the second recommended set of application resources identifies an alternative version of the application resource that was previously downloaded for a different computing platform. | A system and method to recommend one or more application resources to a user with consideration for the various devices and computing platforms the user operates.1. A method for recommending an application resource, the method being implemented by one or more processors and comprising:
receiving a trigger that identifies a target, the target being associated with multiple computing devices that utilize different computing platforms; determining information about the target, including a device profile for each of the multiple computing devices associated with the target, the device profile for each of the multiple computing devices identifying a computing platform for that computing device; and determining a recommended set of application resources for the user based at least in part on the device profiles for each of the multiple computing devices. 2. The method of claim 1, further comprising determining, from the trigger, a context for the user activity being performed on at least one of the multiple computing devices; and
wherein determining the recommended set of application resources is also based at least in part on the context of the user activity. 3. The method of claim 2, wherein the context is based on a web page from which the trigger is generated. 4. The method of claim 2, wherein the context is based on a user activity from which the trigger is generated. 5. The method of claim 1, wherein determining the recommended set of application resources includes recommending a first application resource for a first computing device of the target that utilizes a first computing platform, and a second application resource for a second computing device of the target that utilizes a second computing platform. 6. The method of claim 5, wherein the first application resource and the second application resource are provided from a same developer. 7. The method of claim 5, wherein the second application resource is a browser plug-in or extension variation of the first application resource. 8. The method of claim 1, wherein recommending the set of application resources includes recommending an application resource for a specific computing device of the target, based on the device profiles of two or more of the multiple computing devices. 9. The method of claim 1, wherein the device profile for each of the multiple computing devices includes a list of applications that are resident on that computing device. 10. The method of claim 1, wherein determining information about the target includes determining a usage profile for each of the multiple computing devices, and wherein recommending the set of application resources is based on the usage profile determined for each of the multiple computing devices. 11. The method of claim 1, wherein determining the set of recommended resources includes recommending one or more applications for each of at least two computing devices of the target that operate using different computing platforms. 12. The method of claim 1, wherein determining the recommended set of application resources includes (i) determining a candidate set of application resources, and (ii) determining the recommended set of application resources by prioritizing the candidate set, and
wherein prioritizing the candidate set is based on a set of service data signals that is determined from a group of users. 13. The method of claim 12, wherein the set of service data signals includes a signal that identifies one or more application resources that are most popular or trending in popularity amongst a group of users. 14. The method of claim 12, wherein the set of service data signals includes information determined from social media. 15. The method of claim 12, wherein prioritizing the candidate set includes ranking the set of resources. 16. The method of claim 12, wherein prioritizing the candidate set of resources includes filtering the set of resources. 17. The method of claim 12, wherein the set of service data signals includes data indicating a popularity or sentiment of individual application resources one or more social networking sources. 18. The method of claim 1, wherein the set of service data signals includes multiple components, and wherein the method further comprises weighting the components that comprise the service data signals. 19. The method of claim 12, further comprising determining demographic information for a user, and wherein prioritizing the candidate set includes ranking or filtering the candidate set based on the demographic information of the user. 20. The method of claim 1, further comprising providing the user with a list of programs to download on each of the multiple computing devices. 21. A method for recommending a resource, the method being implemented by one or more processors and comprising:
receiving a first trigger that identifies a computing device and a first context for a user activity being performed on the computing device; determining a device profile for the computing device, the device profile identifying a computing platform for that computing device; and determining a first recommended set of application resources for a user of the computing device based at least in part on the device profile of the computing device and the first context. 22. The method of claim 21, further comprising:
receiving a second trigger that identifies a second context for a user activity being performed on the computing device, and determining a second recommended set of application resources for the user of the computing device based at least in part on the device profile of the computing device, the first context and the second context, the second recommended set of application resources being different than the first recommended set of application resources. 23. The method of claim 22, wherein the first recommended set of application resources is determined using a first algorithm or set of rules that is determined from the first context, and wherein the second recommended set of application resources is determined using a second algorithm or set of rules that is based on the second context. 24. The method of claim 23, wherein the first context is based on a user downloading a first type of web page, and wherein the second context is based on the user downloading a second type of web page. 25. The method of claim 24, wherein the first context corresponds to a download page for a corresponding application resource, and the second context corresponds to a post-download page for a corresponding application resource that was previously downloaded. 26. The method of claim 25, wherein the first set of recommended application resources identifies one or more alternative application resources to the corresponding application resource, and the second recommended set of application resources identifies one or more application resources that are complementary to the corresponding application resource that was previously downloaded. 27. The method of claim 26, wherein the second recommended set of application resources identifies a plug-in or extension variation to the corresponding application resource that was previously downloaded. 28. The method of claim 26, wherein the second recommended set of application resources identifies an alternative version of the application resource that was previously downloaded for a different computing platform. | 2,100 |
5,863 | 5,863 | 14,028,740 | 2,144 | Methods, systems, and computer-readable storage media for providing a calculated measure from one or more existing measures of a data object. Actions include receiving data associated with the data object, displaying a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI), receiving user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema, and providing a modified data visualization for display, the modified data visualization including the calculated measure. | 1. A computer-implemented method for providing a calculated measure from one or more existing measures of a data object, the method being executed using one or more processors and comprising:
receiving, by the one or more processors, data associated with the data object; displaying, by the one or more processors, a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI); receiving, by the one or more processors, user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema; and providing a modified data visualization for display, the modified data visualization comprising the calculated measure. 2. The method of claim 1, wherein the data object comprises a data cube comprising the data, the data comprising one or more measures categorized into one or more dimensions, the one or more dimensions comprising the at least one dimension. 3. The method of claim 2, wherein the data cube is a representation of a multi-dimensional spreadsheet associated with a multi-dimensional dataset including a plurality of data tables. 4. The method of claim 1, wherein the aggregation schema maps measure data values of the at least one existing measure a respective measure column provided in the data visualization and the modified data visualization based on respective dimension values of the at least one dimension. 5. The method of claim 1, further comprising:
receiving user input indicating a change of the at least one dimension from a first dimension to a second dimension; in response to the user input, updating the calculated measure based on the second dimension to provide an updated calculated measure; and updating the data visualization based on the updated calculated measure. 6. The method of claim 1, wherein the modified data visualization comprises a fact table, the at least one existing measure corresponding to a first column of the fact table, the calculated measure corresponding to a second column of the fact table, and the at least one dimension corresponding to a third column of the fact table. 7. The method of claim 1, wherein the calculated measure is a function of at least two existing measures. 8. The method of claim 1, further comprising providing a user interface (UI) for display, the user input defining the calculated measure being provided through the UI. 9. The method of claim 8, wherein the UI is provided in response to user input indicating that the calculated measure is to be generated. 10. A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for providing a calculated measure from one or more existing measures of a data object, the operations comprising:
receiving data associated with the data object; displaying a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI); receiving user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema; and providing a modified data visualization for display, the modified data visualization comprising the calculated measure. 11. The computer-readable storage medium of claim 10, wherein the data object comprises a data cube comprising the data, the data comprising one or more measures categorized into one or more dimensions, the one or more dimensions comprising the at least one dimension. 12. The computer-readable storage medium of claim 11, wherein the data cube is a representation of a multi-dimensional spreadsheet associated with a multi-dimensional dataset including a plurality of data tables. 13. The computer-readable storage medium of claim 10, wherein the aggregation schema maps measure data values of the at least one existing measure a respective measure column provided in the data visualization and the modified data visualization based on respective dimension values of the at least one dimension. 14. The computer-readable storage medium of claim 10, wherein operations further comprise:
receiving user input indicating a change of the at least one dimension from a first dimension to a second dimension; in response to the user input, updating the calculated measure based on the second dimension to provide an updated calculated measure; and updating the data visualization based on the updated calculated measure. 15. A system, comprising:
a computing device; and a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for providing a calculated measure from one or more existing measures of a data object, the operations comprising:
receiving data associated with the data object;
displaying a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI);
receiving user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema; and
providing a modified data visualization for display, the modified data visualization comprising the calculated measure. 16. The system of claim 15, wherein the data object comprises a data cube comprising the data, the data comprising one or more measures categorized into one or more dimensions, the one or more dimensions comprising the at least one dimension. 17. The system of claim 16, wherein the data cube is a representation of a multi-dimensional spreadsheet associated with a multi-dimensional dataset including a plurality of data tables. 18. The system of claim 15, wherein the aggregation schema maps measure data values of the at least one existing measure a respective measure column provided in the data visualization and the modified data visualization based on respective dimension values of the at least one dimension. 19. The system of claim 15, wherein operations further comprise:
receiving user input indicating a change of the at least one dimension from a first dimension to a second dimension; in response to the user input, updating the calculated measure based on the second dimension to provide an updated calculated measure; and updating the data visualization based on the updated calculated measure. | Methods, systems, and computer-readable storage media for providing a calculated measure from one or more existing measures of a data object. Actions include receiving data associated with the data object, displaying a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI), receiving user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema, and providing a modified data visualization for display, the modified data visualization including the calculated measure.1. A computer-implemented method for providing a calculated measure from one or more existing measures of a data object, the method being executed using one or more processors and comprising:
receiving, by the one or more processors, data associated with the data object; displaying, by the one or more processors, a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI); receiving, by the one or more processors, user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema; and providing a modified data visualization for display, the modified data visualization comprising the calculated measure. 2. The method of claim 1, wherein the data object comprises a data cube comprising the data, the data comprising one or more measures categorized into one or more dimensions, the one or more dimensions comprising the at least one dimension. 3. The method of claim 2, wherein the data cube is a representation of a multi-dimensional spreadsheet associated with a multi-dimensional dataset including a plurality of data tables. 4. The method of claim 1, wherein the aggregation schema maps measure data values of the at least one existing measure a respective measure column provided in the data visualization and the modified data visualization based on respective dimension values of the at least one dimension. 5. The method of claim 1, further comprising:
receiving user input indicating a change of the at least one dimension from a first dimension to a second dimension; in response to the user input, updating the calculated measure based on the second dimension to provide an updated calculated measure; and updating the data visualization based on the updated calculated measure. 6. The method of claim 1, wherein the modified data visualization comprises a fact table, the at least one existing measure corresponding to a first column of the fact table, the calculated measure corresponding to a second column of the fact table, and the at least one dimension corresponding to a third column of the fact table. 7. The method of claim 1, wherein the calculated measure is a function of at least two existing measures. 8. The method of claim 1, further comprising providing a user interface (UI) for display, the user input defining the calculated measure being provided through the UI. 9. The method of claim 8, wherein the UI is provided in response to user input indicating that the calculated measure is to be generated. 10. A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for providing a calculated measure from one or more existing measures of a data object, the operations comprising:
receiving data associated with the data object; displaying a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI); receiving user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema; and providing a modified data visualization for display, the modified data visualization comprising the calculated measure. 11. The computer-readable storage medium of claim 10, wherein the data object comprises a data cube comprising the data, the data comprising one or more measures categorized into one or more dimensions, the one or more dimensions comprising the at least one dimension. 12. The computer-readable storage medium of claim 11, wherein the data cube is a representation of a multi-dimensional spreadsheet associated with a multi-dimensional dataset including a plurality of data tables. 13. The computer-readable storage medium of claim 10, wherein the aggregation schema maps measure data values of the at least one existing measure a respective measure column provided in the data visualization and the modified data visualization based on respective dimension values of the at least one dimension. 14. The computer-readable storage medium of claim 10, wherein operations further comprise:
receiving user input indicating a change of the at least one dimension from a first dimension to a second dimension; in response to the user input, updating the calculated measure based on the second dimension to provide an updated calculated measure; and updating the data visualization based on the updated calculated measure. 15. A system, comprising:
a computing device; and a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for providing a calculated measure from one or more existing measures of a data object, the operations comprising:
receiving data associated with the data object;
displaying a data visualization based on the data, the data visualization being displayed within a graphical user interface (GUI);
receiving user input, the user input defining the calculated measure, the calculated measure being a function of at least one existing measure of the data object, at least one dimension of the data object, and an aggregation schema; and
providing a modified data visualization for display, the modified data visualization comprising the calculated measure. 16. The system of claim 15, wherein the data object comprises a data cube comprising the data, the data comprising one or more measures categorized into one or more dimensions, the one or more dimensions comprising the at least one dimension. 17. The system of claim 16, wherein the data cube is a representation of a multi-dimensional spreadsheet associated with a multi-dimensional dataset including a plurality of data tables. 18. The system of claim 15, wherein the aggregation schema maps measure data values of the at least one existing measure a respective measure column provided in the data visualization and the modified data visualization based on respective dimension values of the at least one dimension. 19. The system of claim 15, wherein operations further comprise:
receiving user input indicating a change of the at least one dimension from a first dimension to a second dimension; in response to the user input, updating the calculated measure based on the second dimension to provide an updated calculated measure; and updating the data visualization based on the updated calculated measure. | 2,100 |
5,864 | 5,864 | 14,230,676 | 2,158 | A system and method are provided for discovering k-nearest-neighbors to a given point within a certain distance d. The method includes constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries, and calculating a geohash representation of the given point with a resolution equal to a magnitude value of d. The method includes searching for a closest-prefix geometry from the indexed set using the geohash representation of the given point, and identifying geometries from the indexed set having a same prefix as the closest-prefix geometry. The method further includes calculating distances between the given point and the geometries identified from the indexed set having the same prefix as the closest-prefix geometry, and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set having the same prefix as the closest-prefix geometry. | 1. A method for discovering k-nearest-neighbors to a given point within a certain distance d, the method comprising the steps of:
constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries; calculating a geohash representation of the given point with a resolution equal to a magnitude value of the certain distance d; searching for a closest-prefix geometry from the indexed set of geometries using the geohash representation of the given point; identifying geometries from the indexed set of geometries that have a same prefix as the closest-prefix geometry; calculating distances between the given point and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry; and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 2. The method of claim 1, wherein the index of geometries is formed as a data structure supporting prefix-based string matching. 3. The method of claim 1, wherein the index of geometries is formed as at least one of a patricia trie, a binary tree, and a ternary tree. 4. The method of claim 1, wherein the geohash representation of the given point is one of a string of bits or a vector of bits. 5. The method of claim 1, wherein said searching and identifying steps use respective prefix-matching string operations of a data structure supporting prefix-based string matching to find the closest-prefix geometry and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 6. The method of claim 5, wherein the data structure is at least one of a patricia trie, a binary tree, and a ternary tree. 7. The method of claim 1, wherein different resolutions are used for representing longitudes versus latitudes. 8. The method of claim 7, further comprising:
dividing a respective rectangular geometry space for a respective geometry in the indexed set of geometries into a respective lat-lon box; encoding the respective lat-lon box into a ternary string; and supporting storage of and queries on the ternary string using a hardware accelerated ternary content-addressable memory. 9. The method of claim 8, wherein the geohash representation is extensible to multiple dimensions with a heterogeneous resolution. 10. The method of claim 8, wherein the multiple dimensions comprise longitude, latitude, and at least one of time and altitude. 11. A computer readable storage medium comprising a computer readable program for discovering k-nearest-neighbors to a given point within a certain distance d, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries; calculating a geohash representation of the given point with a resolution equal to a magnitude value of the certain distance d; searching for a closest-prefix geometry from the indexed set of geometries using the geohash representation of the given point; identifying geometries from the indexed set of geometries that have a same prefix as the closest-prefix geometry; calculating distances between the given point and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry; and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 12. A system for discovering k-nearest-neighbors to a given point within a certain distance d, the system comprising:
an index constructor constructs an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries; a geohash representation calculator calculates a geohash representation of the given point with a resolution equal to a magnitude value of the certain distance d; a geohash-representation-based searcher searches for a closest-prefix geometry from the indexed set of geometries using the geohash representation of the given point, and identifies geometries from the indexed set of geometries that have a same prefix as the closest-prefix geometry; a prefix-based distance calculator calculates distances between the given point and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry; and a top-k nearest-neighbors determiner determines k geometries with respective shortest distances less than d from the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 13. The system of claim 12, wherein the index of geometries is formed as a data structure supporting prefix-based string matching. 14. The system of claim 12, wherein the index of geometries is formed as at least one of a patricia trie, a binary tree, and a ternary tree. 15. The system of claim 12, wherein the geohash representation of the given point is one of a string of bits or a vector of bits. 16. The system of claim 12, wherein the geohash-representation-based searcher uses respective prefix-matching string operations of a data structure supporting prefix-based string matching to find the closest-prefix geometry and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 17. The system of claim 16, wherein the data structure is at least one of a patricia trie, a binary tree, and a ternary tree. 18. The system of claim 12, wherein different resolutions are used for representing longitudes versus latitudes. 19. The system of claim 12, wherein the geohash representation is extensible to multiple dimensions with a heterogeneous resolution. 20. The system of claim 19, wherein the multiple dimensions comprise longitude, latitude, and at least one of time and altitude. | A system and method are provided for discovering k-nearest-neighbors to a given point within a certain distance d. The method includes constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries, and calculating a geohash representation of the given point with a resolution equal to a magnitude value of d. The method includes searching for a closest-prefix geometry from the indexed set using the geohash representation of the given point, and identifying geometries from the indexed set having a same prefix as the closest-prefix geometry. The method further includes calculating distances between the given point and the geometries identified from the indexed set having the same prefix as the closest-prefix geometry, and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set having the same prefix as the closest-prefix geometry.1. A method for discovering k-nearest-neighbors to a given point within a certain distance d, the method comprising the steps of:
constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries; calculating a geohash representation of the given point with a resolution equal to a magnitude value of the certain distance d; searching for a closest-prefix geometry from the indexed set of geometries using the geohash representation of the given point; identifying geometries from the indexed set of geometries that have a same prefix as the closest-prefix geometry; calculating distances between the given point and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry; and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 2. The method of claim 1, wherein the index of geometries is formed as a data structure supporting prefix-based string matching. 3. The method of claim 1, wherein the index of geometries is formed as at least one of a patricia trie, a binary tree, and a ternary tree. 4. The method of claim 1, wherein the geohash representation of the given point is one of a string of bits or a vector of bits. 5. The method of claim 1, wherein said searching and identifying steps use respective prefix-matching string operations of a data structure supporting prefix-based string matching to find the closest-prefix geometry and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 6. The method of claim 5, wherein the data structure is at least one of a patricia trie, a binary tree, and a ternary tree. 7. The method of claim 1, wherein different resolutions are used for representing longitudes versus latitudes. 8. The method of claim 7, further comprising:
dividing a respective rectangular geometry space for a respective geometry in the indexed set of geometries into a respective lat-lon box; encoding the respective lat-lon box into a ternary string; and supporting storage of and queries on the ternary string using a hardware accelerated ternary content-addressable memory. 9. The method of claim 8, wherein the geohash representation is extensible to multiple dimensions with a heterogeneous resolution. 10. The method of claim 8, wherein the multiple dimensions comprise longitude, latitude, and at least one of time and altitude. 11. A computer readable storage medium comprising a computer readable program for discovering k-nearest-neighbors to a given point within a certain distance d, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
constructing an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries; calculating a geohash representation of the given point with a resolution equal to a magnitude value of the certain distance d; searching for a closest-prefix geometry from the indexed set of geometries using the geohash representation of the given point; identifying geometries from the indexed set of geometries that have a same prefix as the closest-prefix geometry; calculating distances between the given point and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry; and determining k geometries with respective shortest distances less than d from the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 12. A system for discovering k-nearest-neighbors to a given point within a certain distance d, the system comprising:
an index constructor constructs an index of geometries using geohashes of geometries as an indexing key to obtain an indexed set of geometries; a geohash representation calculator calculates a geohash representation of the given point with a resolution equal to a magnitude value of the certain distance d; a geohash-representation-based searcher searches for a closest-prefix geometry from the indexed set of geometries using the geohash representation of the given point, and identifies geometries from the indexed set of geometries that have a same prefix as the closest-prefix geometry; a prefix-based distance calculator calculates distances between the given point and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry; and a top-k nearest-neighbors determiner determines k geometries with respective shortest distances less than d from the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 13. The system of claim 12, wherein the index of geometries is formed as a data structure supporting prefix-based string matching. 14. The system of claim 12, wherein the index of geometries is formed as at least one of a patricia trie, a binary tree, and a ternary tree. 15. The system of claim 12, wherein the geohash representation of the given point is one of a string of bits or a vector of bits. 16. The system of claim 12, wherein the geohash-representation-based searcher uses respective prefix-matching string operations of a data structure supporting prefix-based string matching to find the closest-prefix geometry and the geometries identified from the indexed set of geometries that have the same prefix as the closest-prefix geometry. 17. The system of claim 16, wherein the data structure is at least one of a patricia trie, a binary tree, and a ternary tree. 18. The system of claim 12, wherein different resolutions are used for representing longitudes versus latitudes. 19. The system of claim 12, wherein the geohash representation is extensible to multiple dimensions with a heterogeneous resolution. 20. The system of claim 19, wherein the multiple dimensions comprise longitude, latitude, and at least one of time and altitude. | 2,100 |
5,865 | 5,865 | 14,279,691 | 2,193 | A method for data loading with a tablet includes receiving one or more software updates published by a ground station and storing the software updates on the tablet. The method also includes establishing communications between the tablet and a tablet interface module of an aircraft and determining if software on the aircraft needs to be updated. Based on determining that the software on the aircraft needs to be updated, the method includes transmitting at least one of the one or more software updates to the tablet interface module for loading into the aircraft and monitoring an installation process of the software updates in the aircraft via the tablet interface module. | 1. A method for a method for data loading with a tablet comprising:
receiving one or more software updates published by a ground station and storing the software updates on the tablet; establishing communications between the tablet and a tablet interface module of an aircraft; determining if a software on the aircraft needs to be updated; based on determining that the software on the aircraft needs to be updated, transmitting at least one of the one or more software updates to the tablet interface module for loading into the aircraft; and monitoring an installation process of the software updates in the aircraft via the tablet interface module. 2. The method of claim 1, further comprising transmitting an installation status to the ground station. 3. The method of claim 1, wherein determining if the software on the aircraft needs to be updated comprises receiving a version number of the software on the aircraft and comparing the version number to a version number of the one or more software updates. 4. The method of claim 1, wherein establishing communications between the tablet and the tablet interface module of the aircraft comprises receiving an indication of a type of the aircraft from the tablet interface module. 5. The method of claim 1, wherein establishing communications between the tablet and the tablet interface module of the aircraft comprises providing one or more security credentials that are verified by the tablet interface module. 6. The method of claim 1, wherein the communications between the tablet and the tablet interface module of the aircraft are wireless. 7. A tablet interface module comprising:
a first transceiver configured to communicate with one or more tablets; a second transceiver configured to communicate with an aircraft interface device; and a user interface module; wherein the tablet interface receives software updates for an aircraft from a tablet and transmits the software updates to the aircraft interface device for loading onto an avionics system of the aircraft. 8. The tablet interface module of claim 7, wherein the user interface is configured to establish a communications channel between the tablet interface module and the tablet via the first transceiver. 9. The tablet interface module of claim 8, wherein establishing communications between the tablet and the tablet interface module of the aircraft comprises transmitting an indication of a type of the aircraft to the tablet. 10. The tablet interface module of claim 9, wherein establishing communications between the tablet and the tablet interface module of the aircraft further comprises transmitting a version number of the software on the aircraft to the tablet. | A method for data loading with a tablet includes receiving one or more software updates published by a ground station and storing the software updates on the tablet. The method also includes establishing communications between the tablet and a tablet interface module of an aircraft and determining if software on the aircraft needs to be updated. Based on determining that the software on the aircraft needs to be updated, the method includes transmitting at least one of the one or more software updates to the tablet interface module for loading into the aircraft and monitoring an installation process of the software updates in the aircraft via the tablet interface module.1. A method for a method for data loading with a tablet comprising:
receiving one or more software updates published by a ground station and storing the software updates on the tablet; establishing communications between the tablet and a tablet interface module of an aircraft; determining if a software on the aircraft needs to be updated; based on determining that the software on the aircraft needs to be updated, transmitting at least one of the one or more software updates to the tablet interface module for loading into the aircraft; and monitoring an installation process of the software updates in the aircraft via the tablet interface module. 2. The method of claim 1, further comprising transmitting an installation status to the ground station. 3. The method of claim 1, wherein determining if the software on the aircraft needs to be updated comprises receiving a version number of the software on the aircraft and comparing the version number to a version number of the one or more software updates. 4. The method of claim 1, wherein establishing communications between the tablet and the tablet interface module of the aircraft comprises receiving an indication of a type of the aircraft from the tablet interface module. 5. The method of claim 1, wherein establishing communications between the tablet and the tablet interface module of the aircraft comprises providing one or more security credentials that are verified by the tablet interface module. 6. The method of claim 1, wherein the communications between the tablet and the tablet interface module of the aircraft are wireless. 7. A tablet interface module comprising:
a first transceiver configured to communicate with one or more tablets; a second transceiver configured to communicate with an aircraft interface device; and a user interface module; wherein the tablet interface receives software updates for an aircraft from a tablet and transmits the software updates to the aircraft interface device for loading onto an avionics system of the aircraft. 8. The tablet interface module of claim 7, wherein the user interface is configured to establish a communications channel between the tablet interface module and the tablet via the first transceiver. 9. The tablet interface module of claim 8, wherein establishing communications between the tablet and the tablet interface module of the aircraft comprises transmitting an indication of a type of the aircraft to the tablet. 10. The tablet interface module of claim 9, wherein establishing communications between the tablet and the tablet interface module of the aircraft further comprises transmitting a version number of the software on the aircraft to the tablet. | 2,100 |
5,866 | 5,866 | 15,184,401 | 2,154 | Some aspects of this disclosure include systems, methods, and/or computer programs that may be used to collect measurements of affective response of users and to utilize the collected measurements to generate a crowd-based result, such as a score for an experience which the users had. Some embodiments described herein involve sending requests for measurements of affective response to software agents operating on behalf of the users. The requests may provide details regarding the type of measurements requested and may also provide assurances. The assurances may relate to various aspects such as the number of users whose measurements are to be used to generate the crowd-based result, the disclosure of the crowd-based result (e.g., regarding the recipients of the crowd-based result), and the compensation for providing the measurements. Software agents that accept the assurances and have relevant measurements may provide the measurements, which are then utilized to generate the crowd-based result. | 1. A system configured to collect measurements of affective response for computation of a crowd-based score for an experience, comprising:
memory storing computer executable modules; and one or more processors configured to execute the computer executable modules; the computer executable modules comprising: a collection module configured to send, to software agents operating on behalf of users, requests for measurements of affective response of the users to the experience; wherein each request is associated with one or more assurances; wherein each measurement of a user is taken with a sensor coupled to the user while the user has the experience; the collection module is further configured to receive measurements of affective response to the experience, sent by at least some of the software agents, and to select a subset of the received measurements comprising measurements of at least three users; wherein for each request corresponding to a measurement in the subset, a disclosure of a score computed based on the subset does not violate any of the one or more assurances associated with the request; and a scoring module configured to compute the score for the experience based on the subset of the measurements of affective response and to disclose the score. 2. The system of claim 1, wherein the one or more assurances associated with a request, from among the requests, comprise an assurance regarding a value of a statistic of a set of measurements of affective response used to compute the score for the experience; and wherein the statistic is indicative of one or more of the following values: the number of users with measurements in the set, the variance of the measurements, a time-frame during which the measurements were collected, and an average amount of data comprised in measurements belonging to the set. 3. The system of claim 1, wherein the one or more assurances associated with a request, from among the requests, comprise an assurance regarding the disclosure of the score for the experience, which is related to at least one of the following: recipients of the disclosed score, information provided in the disclosure of the score, and an extent of a risk to privacy due to the disclosure of the score. 4. The system of claim 1, wherein the one or more assurances associated with a request, from among the requests, comprise an assurance regarding a compensation for contributing a measurement to the subset used to compute the score for the experience. 5. The system of claim 1, wherein the disclosure of the score for the experience does not violate any of the assurances associated with the requests corresponding to the measurements belonging to the subset. 6. The system of claim 1, wherein the measurement comprises first and second measurements of affective response of first and second users, respectively; and wherein a first request sent to a first software agent operating on behalf of the first users is indicative of different assurances than assurances indicated in a second request sent to a second software agent operating on behalf of the second user. 7. The system of claim 1, wherein the collection module selects all of the received measurements for the subset. 8. The system of claim 1, wherein the collection module is further configured to provide a compensation to one or more users who contributed measurements to the score for the experience. 9. A method for collecting measurements of affective response for computation of a crowd-based score for an experience, comprising:
sending, by a system comprising a processor and memory, to software agents operating on behalf of users, requests for measurements of affective response of the users to the experience; wherein each request is associated with one or more assurances; wherein each measurement of a user is taken with a sensor coupled to the user while the user has the experience; receiving measurements of affective response to the experience, sent by at least some of the software agents; selecting a subset of the received measurements comprising measurements of at least three users; wherein for each request corresponding to a measurement in the subset, a disclosure of a score computed based on the subset does not violate any of the one or more assurances associated with the request; computing the score for the experience based on the subset of the measurements of affective response; and disclosing the score. 10. The method of claim 9, further comprising evaluating multiple subsets of the measurements; wherein evaluation of each subset comprises determining whether the assurances associated with a request corresponding to each measurement in an evaluated subset are not violated by disclosing a score computed based on the evaluated subset. 11. The method of claim 9, further comprising receiving, prior to sending the requests, offers for measurements of affective response of users, sent by software agents operating on behalf of the users; wherein each offer is indicative of certain assurances; and further comprising basing at least some of the requests on the offers. 12. The method of claim 9, further comprising determining a risk to privacy due to disclosure of the score for the experience does not reach a threshold risk indicated in any of the assurances associated with requests corresponding to measurements in the subset. 13. The method of claim 9, further comprising disclosing the score for the experience in a manner that does not violate any of the assurances associated with the requests corresponding to the measurements belonging to the subset. 14. The method of claim 9, further comprising providing a compensation to one or more users who contributed measurements to the score for the experience. 15. A non-transitory computer-readable medium having instructions stored thereon that, in response to execution by a system including a processor and memory, causes the system to perform operations comprising:
sending, by a system comprising a processor and memory, to software agents operating on behalf of users, requests for measurements of affective response of the users to the experience; wherein each request is associated with one or more assurances; wherein each measurement of a user is taken with a sensor coupled to the user while the user has the experience; receiving measurements of affective response to the experience, sent by at least some of the software agents; selecting a subset of the received measurements comprising measurements of at least three users; wherein for each request corresponding to a measurement in the subset, a disclosure of a score computed based on the subset does not violate any of the one or more assurances associated with the request; computing the score for the experience based on the subset of the measurements of affective response; and disclosing the score. 16. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of evaluating multiple subsets of the measurements; wherein evaluation of each subset comprises determining whether the assurances associated with a request corresponding to each measurement in an evaluated subset are not violated by disclosing a score computed based on the evaluated subset. 17. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of receiving, prior to sending the requests, offers for measurements of affective response of users, sent by software agents operating on behalf of the users; wherein each offer is indicative of certain assurances; and further comprising basing at least some of the requests on the offers. 18. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of determining a risk to privacy due to disclosure of the score for the experience does not reach a threshold risk indicated in any of the assurances associated with requests corresponding to measurements in the subset. 19. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of disclosing the score for the experience in a manner that does not violate any of the assurances associated with the requests corresponding to the measurements belonging to the subset. 20. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of providing a compensation to one or more users who contributed measurements to the score for the experience. | Some aspects of this disclosure include systems, methods, and/or computer programs that may be used to collect measurements of affective response of users and to utilize the collected measurements to generate a crowd-based result, such as a score for an experience which the users had. Some embodiments described herein involve sending requests for measurements of affective response to software agents operating on behalf of the users. The requests may provide details regarding the type of measurements requested and may also provide assurances. The assurances may relate to various aspects such as the number of users whose measurements are to be used to generate the crowd-based result, the disclosure of the crowd-based result (e.g., regarding the recipients of the crowd-based result), and the compensation for providing the measurements. Software agents that accept the assurances and have relevant measurements may provide the measurements, which are then utilized to generate the crowd-based result.1. A system configured to collect measurements of affective response for computation of a crowd-based score for an experience, comprising:
memory storing computer executable modules; and one or more processors configured to execute the computer executable modules; the computer executable modules comprising: a collection module configured to send, to software agents operating on behalf of users, requests for measurements of affective response of the users to the experience; wherein each request is associated with one or more assurances; wherein each measurement of a user is taken with a sensor coupled to the user while the user has the experience; the collection module is further configured to receive measurements of affective response to the experience, sent by at least some of the software agents, and to select a subset of the received measurements comprising measurements of at least three users; wherein for each request corresponding to a measurement in the subset, a disclosure of a score computed based on the subset does not violate any of the one or more assurances associated with the request; and a scoring module configured to compute the score for the experience based on the subset of the measurements of affective response and to disclose the score. 2. The system of claim 1, wherein the one or more assurances associated with a request, from among the requests, comprise an assurance regarding a value of a statistic of a set of measurements of affective response used to compute the score for the experience; and wherein the statistic is indicative of one or more of the following values: the number of users with measurements in the set, the variance of the measurements, a time-frame during which the measurements were collected, and an average amount of data comprised in measurements belonging to the set. 3. The system of claim 1, wherein the one or more assurances associated with a request, from among the requests, comprise an assurance regarding the disclosure of the score for the experience, which is related to at least one of the following: recipients of the disclosed score, information provided in the disclosure of the score, and an extent of a risk to privacy due to the disclosure of the score. 4. The system of claim 1, wherein the one or more assurances associated with a request, from among the requests, comprise an assurance regarding a compensation for contributing a measurement to the subset used to compute the score for the experience. 5. The system of claim 1, wherein the disclosure of the score for the experience does not violate any of the assurances associated with the requests corresponding to the measurements belonging to the subset. 6. The system of claim 1, wherein the measurement comprises first and second measurements of affective response of first and second users, respectively; and wherein a first request sent to a first software agent operating on behalf of the first users is indicative of different assurances than assurances indicated in a second request sent to a second software agent operating on behalf of the second user. 7. The system of claim 1, wherein the collection module selects all of the received measurements for the subset. 8. The system of claim 1, wherein the collection module is further configured to provide a compensation to one or more users who contributed measurements to the score for the experience. 9. A method for collecting measurements of affective response for computation of a crowd-based score for an experience, comprising:
sending, by a system comprising a processor and memory, to software agents operating on behalf of users, requests for measurements of affective response of the users to the experience; wherein each request is associated with one or more assurances; wherein each measurement of a user is taken with a sensor coupled to the user while the user has the experience; receiving measurements of affective response to the experience, sent by at least some of the software agents; selecting a subset of the received measurements comprising measurements of at least three users; wherein for each request corresponding to a measurement in the subset, a disclosure of a score computed based on the subset does not violate any of the one or more assurances associated with the request; computing the score for the experience based on the subset of the measurements of affective response; and disclosing the score. 10. The method of claim 9, further comprising evaluating multiple subsets of the measurements; wherein evaluation of each subset comprises determining whether the assurances associated with a request corresponding to each measurement in an evaluated subset are not violated by disclosing a score computed based on the evaluated subset. 11. The method of claim 9, further comprising receiving, prior to sending the requests, offers for measurements of affective response of users, sent by software agents operating on behalf of the users; wherein each offer is indicative of certain assurances; and further comprising basing at least some of the requests on the offers. 12. The method of claim 9, further comprising determining a risk to privacy due to disclosure of the score for the experience does not reach a threshold risk indicated in any of the assurances associated with requests corresponding to measurements in the subset. 13. The method of claim 9, further comprising disclosing the score for the experience in a manner that does not violate any of the assurances associated with the requests corresponding to the measurements belonging to the subset. 14. The method of claim 9, further comprising providing a compensation to one or more users who contributed measurements to the score for the experience. 15. A non-transitory computer-readable medium having instructions stored thereon that, in response to execution by a system including a processor and memory, causes the system to perform operations comprising:
sending, by a system comprising a processor and memory, to software agents operating on behalf of users, requests for measurements of affective response of the users to the experience; wherein each request is associated with one or more assurances; wherein each measurement of a user is taken with a sensor coupled to the user while the user has the experience; receiving measurements of affective response to the experience, sent by at least some of the software agents; selecting a subset of the received measurements comprising measurements of at least three users; wherein for each request corresponding to a measurement in the subset, a disclosure of a score computed based on the subset does not violate any of the one or more assurances associated with the request; computing the score for the experience based on the subset of the measurements of affective response; and disclosing the score. 16. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of evaluating multiple subsets of the measurements; wherein evaluation of each subset comprises determining whether the assurances associated with a request corresponding to each measurement in an evaluated subset are not violated by disclosing a score computed based on the evaluated subset. 17. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of receiving, prior to sending the requests, offers for measurements of affective response of users, sent by software agents operating on behalf of the users; wherein each offer is indicative of certain assurances; and further comprising basing at least some of the requests on the offers. 18. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of determining a risk to privacy due to disclosure of the score for the experience does not reach a threshold risk indicated in any of the assurances associated with requests corresponding to measurements in the subset. 19. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of disclosing the score for the experience in a manner that does not violate any of the assurances associated with the requests corresponding to the measurements belonging to the subset. 20. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of providing a compensation to one or more users who contributed measurements to the score for the experience. | 2,100 |
5,867 | 5,867 | 14,698,220 | 2,142 | The present disclosure includes methods and systems for receiving an electronic signature in an electronic document utilizing an interface area. In particular, in response to a user interaction, one or more embodiments of an electronic signature system can provide a signature overlay for capturing a signature to provide within an electronic document. For instance, an electronic signature system can detect user input of an original signature on the signature overlay and modify the original signature entered on the signature overlay so that the modified signature fits within a bounded area of an electronic document. | 1. In a digital medium environment, a method of capturing a user's signature to include within a document, comprising:
detecting, by at least one processor, a user interaction that indicates a user's intent to provide an electronic signature in a bounded area; receiving user input both within and outside of the bounded area, wherein the user input is representative of the user's signature; generating, by the at least one processor, an original signature based on the user input; modifying, by the at least one processor, the original signature to generate an adjusted signature; and providing the adjusted signature within the bounded area. 2. The method of claim 1, wherein the detected user interaction is also a portion of the user input from which the original signature is generated. 3. The method of claim 1, further comprising:
providing, in response to detecting the user interaction, an interface area that is larger than the bounded area and positioned so that the interface area encompasses the bounded area; and wherein receiving user input comprises receiving user input with respect to the interface area. 4. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising rendering the signature overlay within a graphical user interface to be visually detectable to the user. 5. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising generating the signature overlay within a graphical user interface to be visually undetectable to the user. 6. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising determining a coverage area of the signature overlay to match a size and a position of a graphical user interface, wherein the electronic document is presented within the graphical user interface. 7. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising determining a coverage area of the signature overlay to cover an area larger than a graphical user interface area, wherein the electronic document is presented within the graphical user interface. 8. The method of claim 1, further comprising generating an image of the original signature to present to the user, wherein a portion of the image of the original signature exceeds the bounded area. 9. The method of claim 1, wherein receiving user input comprises receiving one or more separate user input events. 10. The method of claim 9, wherein the one or more separate user input events are based on one or more user interactions with a mouse, trackpad, or touchscreen. 11. The method of claim 1, further comprising detecting an indication that the original signature is complete. 12. The method of claim 11, wherein detecting the indication that the original signature is complete comprises determining an expiration of a time period within which no user input related to providing an electronic signature is received. 13. In a digital medium environment, a method of capturing an electronic signature using an interface area, comprising:
receiving, by at least one processor, user input with respect to a bounded area component located within an electronic document, wherein the user input is representative of a first portion of a user's signature; receiving additional user input provided with respect to an interface area, wherein the additional user input is representative of a second portion of the user's signature; generating, by the at least one processor, an original signature based on the user input and the additional user input; modifying, by the at least one processor, the original signature to generate an adjusted signature; and providing the adjusted signature within the bounded area located within the electronic document. 14. The method of claim 13, wherein the interface area comprises a signature overlay and further comprising determining a coverage area of the signature overlay to cover an area larger than a graphical user interface, wherein the electronic document is presented within the graphical user interface. 15. The method of claim 13, further comprising providing, to the user, a visual representation of the generated original signature wherein a portion of the visual representation exceeds the bounded area. 16. The method of claim 13, further comprising detecting an indication that the original signature is complete. 17. The method of claim 16, wherein the indication that the original signature is complete is a lack of user input of an original signature for a period of time. 18. A system for capturing an electronic signature to include within an electronic document, comprising:
at least one processor; and at least one non-transitory computer readable storage medium storing instructions thereon, that, when executed by the at least one processor, cause the system to:
receive, by the at least one processor, user input with regard to a first interface area;
receive additional user input with regard to a second interface area;
generate, by the at least one processor, an original signature based on the user input and the additional user input;
determine one or more required characteristics for a final signature; and
modify, by the at least one processor, the original signature based on the one or more required characteristics to generate the final signature. 19. The system of claim 18, wherein the first interface area comprises a bounded area and the second interface area comprises a signature overlay. 20. The system of claim 19, wherein the one or more required characteristics for the final signature are based on the size and location of the bounded area within an electronic document. | The present disclosure includes methods and systems for receiving an electronic signature in an electronic document utilizing an interface area. In particular, in response to a user interaction, one or more embodiments of an electronic signature system can provide a signature overlay for capturing a signature to provide within an electronic document. For instance, an electronic signature system can detect user input of an original signature on the signature overlay and modify the original signature entered on the signature overlay so that the modified signature fits within a bounded area of an electronic document.1. In a digital medium environment, a method of capturing a user's signature to include within a document, comprising:
detecting, by at least one processor, a user interaction that indicates a user's intent to provide an electronic signature in a bounded area; receiving user input both within and outside of the bounded area, wherein the user input is representative of the user's signature; generating, by the at least one processor, an original signature based on the user input; modifying, by the at least one processor, the original signature to generate an adjusted signature; and providing the adjusted signature within the bounded area. 2. The method of claim 1, wherein the detected user interaction is also a portion of the user input from which the original signature is generated. 3. The method of claim 1, further comprising:
providing, in response to detecting the user interaction, an interface area that is larger than the bounded area and positioned so that the interface area encompasses the bounded area; and wherein receiving user input comprises receiving user input with respect to the interface area. 4. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising rendering the signature overlay within a graphical user interface to be visually detectable to the user. 5. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising generating the signature overlay within a graphical user interface to be visually undetectable to the user. 6. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising determining a coverage area of the signature overlay to match a size and a position of a graphical user interface, wherein the electronic document is presented within the graphical user interface. 7. The method of claim 3, wherein the interface area comprises a signature overlay and further comprising determining a coverage area of the signature overlay to cover an area larger than a graphical user interface area, wherein the electronic document is presented within the graphical user interface. 8. The method of claim 1, further comprising generating an image of the original signature to present to the user, wherein a portion of the image of the original signature exceeds the bounded area. 9. The method of claim 1, wherein receiving user input comprises receiving one or more separate user input events. 10. The method of claim 9, wherein the one or more separate user input events are based on one or more user interactions with a mouse, trackpad, or touchscreen. 11. The method of claim 1, further comprising detecting an indication that the original signature is complete. 12. The method of claim 11, wherein detecting the indication that the original signature is complete comprises determining an expiration of a time period within which no user input related to providing an electronic signature is received. 13. In a digital medium environment, a method of capturing an electronic signature using an interface area, comprising:
receiving, by at least one processor, user input with respect to a bounded area component located within an electronic document, wherein the user input is representative of a first portion of a user's signature; receiving additional user input provided with respect to an interface area, wherein the additional user input is representative of a second portion of the user's signature; generating, by the at least one processor, an original signature based on the user input and the additional user input; modifying, by the at least one processor, the original signature to generate an adjusted signature; and providing the adjusted signature within the bounded area located within the electronic document. 14. The method of claim 13, wherein the interface area comprises a signature overlay and further comprising determining a coverage area of the signature overlay to cover an area larger than a graphical user interface, wherein the electronic document is presented within the graphical user interface. 15. The method of claim 13, further comprising providing, to the user, a visual representation of the generated original signature wherein a portion of the visual representation exceeds the bounded area. 16. The method of claim 13, further comprising detecting an indication that the original signature is complete. 17. The method of claim 16, wherein the indication that the original signature is complete is a lack of user input of an original signature for a period of time. 18. A system for capturing an electronic signature to include within an electronic document, comprising:
at least one processor; and at least one non-transitory computer readable storage medium storing instructions thereon, that, when executed by the at least one processor, cause the system to:
receive, by the at least one processor, user input with regard to a first interface area;
receive additional user input with regard to a second interface area;
generate, by the at least one processor, an original signature based on the user input and the additional user input;
determine one or more required characteristics for a final signature; and
modify, by the at least one processor, the original signature based on the one or more required characteristics to generate the final signature. 19. The system of claim 18, wherein the first interface area comprises a bounded area and the second interface area comprises a signature overlay. 20. The system of claim 19, wherein the one or more required characteristics for the final signature are based on the size and location of the bounded area within an electronic document. | 2,100 |
5,868 | 5,868 | 14,290,657 | 2,169 | A graph database is described for use in connection with a contact center. The graph database includes a plurality of nodes and relationships that describe the operations, entities, personnel, and attributes in the contact center. The graph database enables previously discrete contact center components such as work assignment components, reporting components, work force management components, forecasting components, and the like to operate in a seamless and integrated manner. | 1. A graph database, comprising:
a database interface that connects the graph database to a communication network; and a data storage medium comprising a plurality of data elements stored therein, the plurality of data elements including a first node and a second node, wherein both the first and second node represent at least one of an attribute, a work item, a contact, a resource, an entity, an event, and a component in a contact center and wherein the first node and the second node are connected to one another via at least one relationship. 2. The graph database of claim 1, wherein the at least one relationship comprises a relationship type defined in the graph database as well as one or more properties that describe the relationship between the first node and the second node. 3. The graph database of claim 1, wherein the graph database further comprises a dictionary of nodes and a dictionary of relationships, wherein the dictionary of nodes identifies each node type currently stored or capable of being stored in the data storage medium, and wherein the dictionary of relationships identifies each relationship type currently stored or capable of being stored in the data storage medium. 4. The graph database of claim 1, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a work force management module. 5. The graph database of claim 1, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a reporting module. 6. The graph database of claim 5, wherein the reporting module provides at least one node in the graph database that is connected to at least one of the first and second node such that a report can be generated to include information about at least one of the first node, the second node, and the at least one relationship that connects the first node with the second node. 7. The graph database of claim 1, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a forecasting module. 8. The graph database of claim 1, wherein at least one of the first node and second node represent an attribute and wherein the attribute is included in an attribute tree comprising a plurality of attribute nodes organized in a hierarchical manner. 9. The graph database of claim 1, wherein the first node corresponds to a contact node, wherein the second node corresponds to a resource node, and wherein the first node and second node are connected to one another via an intermediate node that is a conference node. 10. A contact center, comprising:
at least one server configured to execute one or more operations in the contact center; and a graph database, comprising:
a database interface that connects the graph database to the at least one server; and
a data storage medium comprising a plurality of data elements stored therein, the plurality of data elements including a first node and a second node, wherein both the first and second node represent at least one of an attribute, a work item, a contact, a resource, an entity, an event, and a component in a contact center and wherein the first node and the second node are connected to one another via at least one relationship. 11. The contact center of claim 10, wherein the at least one relationship comprises a relationship type defined in the graph database as well as one or more properties that describe the relationship between the first node and the second node. 12. The graph database of claim 10, wherein the graph database further comprises a dictionary of nodes and a dictionary of relationships, wherein the dictionary of nodes identifies each node type currently stored or capable of being stored in the data storage medium, and wherein the dictionary of relationships identifies each relationship type currently stored or capable of being stored in the data storage medium. 13. The contact center of claim 10, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a work force management module. 14. The contact center of claim 10, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a reporting module. 15. The contact center of claim 14, wherein the reporting module provides at least one node in the graph database that is connected to at least one of the first and second node such that a report can be generated to include information about at least one of the first node, the second node, and the at least one relationship that connects the first node with the second node. 16. The contact center of claim 10, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a forecasting module. 17. The contact center of claim 10, wherein at least one of the first node and second node represent an attribute and wherein the attribute is included in an attribute tree comprising a plurality of attribute nodes organized in a hierarchical manner. 18. The contact center of claim 10, wherein the first node corresponds to a contact node, wherein the second node corresponds to a resource node, and wherein the first node and second node are connected to one another via an intermediate node that is a conference node. 19. A non-transitory computer-readable medium comprising a data structure stored therein, the data structure comprising:
a plurality of data elements organized as a graph database, the plurality of data elements including a first node and a second node, wherein both the first and second node represent at least one of an attribute, a work item, a contact, a resource, an entity, an event, and a component in a contact center and wherein the first node and the second node are connected to one another via at least one relationship. 20. The method of claim 19, wherein at least one of the first node and second node represent an attribute and wherein the attribute is included in an attribute tree comprising a plurality of attribute nodes organized in a hierarchical manner. | A graph database is described for use in connection with a contact center. The graph database includes a plurality of nodes and relationships that describe the operations, entities, personnel, and attributes in the contact center. The graph database enables previously discrete contact center components such as work assignment components, reporting components, work force management components, forecasting components, and the like to operate in a seamless and integrated manner.1. A graph database, comprising:
a database interface that connects the graph database to a communication network; and a data storage medium comprising a plurality of data elements stored therein, the plurality of data elements including a first node and a second node, wherein both the first and second node represent at least one of an attribute, a work item, a contact, a resource, an entity, an event, and a component in a contact center and wherein the first node and the second node are connected to one another via at least one relationship. 2. The graph database of claim 1, wherein the at least one relationship comprises a relationship type defined in the graph database as well as one or more properties that describe the relationship between the first node and the second node. 3. The graph database of claim 1, wherein the graph database further comprises a dictionary of nodes and a dictionary of relationships, wherein the dictionary of nodes identifies each node type currently stored or capable of being stored in the data storage medium, and wherein the dictionary of relationships identifies each relationship type currently stored or capable of being stored in the data storage medium. 4. The graph database of claim 1, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a work force management module. 5. The graph database of claim 1, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a reporting module. 6. The graph database of claim 5, wherein the reporting module provides at least one node in the graph database that is connected to at least one of the first and second node such that a report can be generated to include information about at least one of the first node, the second node, and the at least one relationship that connects the first node with the second node. 7. The graph database of claim 1, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a forecasting module. 8. The graph database of claim 1, wherein at least one of the first node and second node represent an attribute and wherein the attribute is included in an attribute tree comprising a plurality of attribute nodes organized in a hierarchical manner. 9. The graph database of claim 1, wherein the first node corresponds to a contact node, wherein the second node corresponds to a resource node, and wherein the first node and second node are connected to one another via an intermediate node that is a conference node. 10. A contact center, comprising:
at least one server configured to execute one or more operations in the contact center; and a graph database, comprising:
a database interface that connects the graph database to the at least one server; and
a data storage medium comprising a plurality of data elements stored therein, the plurality of data elements including a first node and a second node, wherein both the first and second node represent at least one of an attribute, a work item, a contact, a resource, an entity, an event, and a component in a contact center and wherein the first node and the second node are connected to one another via at least one relationship. 11. The contact center of claim 10, wherein the at least one relationship comprises a relationship type defined in the graph database as well as one or more properties that describe the relationship between the first node and the second node. 12. The graph database of claim 10, wherein the graph database further comprises a dictionary of nodes and a dictionary of relationships, wherein the dictionary of nodes identifies each node type currently stored or capable of being stored in the data storage medium, and wherein the dictionary of relationships identifies each relationship type currently stored or capable of being stored in the data storage medium. 13. The contact center of claim 10, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a work force management module. 14. The contact center of claim 10, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a reporting module. 15. The contact center of claim 14, wherein the reporting module provides at least one node in the graph database that is connected to at least one of the first and second node such that a report can be generated to include information about at least one of the first node, the second node, and the at least one relationship that connects the first node with the second node. 16. The contact center of claim 10, wherein at least one of the first node and second node represent a component in the contact center and wherein the component represented by the at least one of the first node and second node includes a forecasting module. 17. The contact center of claim 10, wherein at least one of the first node and second node represent an attribute and wherein the attribute is included in an attribute tree comprising a plurality of attribute nodes organized in a hierarchical manner. 18. The contact center of claim 10, wherein the first node corresponds to a contact node, wherein the second node corresponds to a resource node, and wherein the first node and second node are connected to one another via an intermediate node that is a conference node. 19. A non-transitory computer-readable medium comprising a data structure stored therein, the data structure comprising:
a plurality of data elements organized as a graph database, the plurality of data elements including a first node and a second node, wherein both the first and second node represent at least one of an attribute, a work item, a contact, a resource, an entity, an event, and a component in a contact center and wherein the first node and the second node are connected to one another via at least one relationship. 20. The method of claim 19, wherein at least one of the first node and second node represent an attribute and wherein the attribute is included in an attribute tree comprising a plurality of attribute nodes organized in a hierarchical manner. | 2,100 |
5,869 | 5,869 | 13,568,630 | 2,177 | A translation method reduces the Lime required for display of the translation of a web page. Based on a translation request, a translation service server requests a translation engine translate an HTML document. The translation service server also extracts image tags from the HTML, and transmits the dummy tags to the browser based on the image tags. The browser requests image data based on the image tags, and obtains image data. The translation service server receives the translation from the translation engine, and transmits it to the browser. During the display rendering process for the HTML document based on the translation, the browser employs image data that has already been obtained. | 1-12. (canceled) 13. A method, performed within and by a translation server, comprising:
receiving, from a client, a translation request to translate an original document; transmitting a partial portion of the original document or the complete original document to a translation engine; extracting image data from the original document; returning, after extracting the image data and before receiving translation data from the translation engine, an incomplete portion of a results document to the client; and returning, after receiving the translation data from the translation engine, a remaining portion of the results document to the client. 14. The method of claim 13, further comprising:
receiving, from the client, an image request based upon the incomplete portion of the results document returned to the client; and transmitting, to the client and based upon the image request, image data. 15. The method of claim 13, wherein
the incomplete portion of the results document includes dummy tags based upon image tags extracted from the original document. 16. The method of claim 13, wherein
the image data within the original document is not transmitted to the client before the translation server terminates processing of the translation request. 17. The method of claim 13, wherein
the remaining portion of the results document includes the translation data. 18. A translation server, comprising:
at least one processor, wherein the at least one processor is configured to initiate and/or perform:
receiving, from a client, a translation request to translate an original document;
transmitting a partial portion of the original document or the complete original document to a translation engine;
extracting image data from the original document;
returning, after extracting the image data and before receiving translation data from the translation engine, an incomplete portion of a results document to the client; and
returning, after receiving the translation data from the translation engine, a remaining portion of the results document to the client. 19. The system of claim 18, wherein the at least one processor is further configured to initiate and/or perform:
receiving, from the client, an image request based upon the incomplete portion of the results document returned to the client; and transmitting, to the client and based upon the image request, image data. 20. The system of claim 18, wherein
the incomplete portion of the results document includes dummy tags based upon image tags extracted from the original document. 21. The system of claim 18, wherein
the image data within the original document is not transmitted to the client before the translation server terminates processing of the translation request. 22. The system of claim 18, wherein
the remaining portion of the results document includes the translation data. 23. A computer program product, comprising:
a computer usable storage medium having stored therein computer usage program code, which when executed by a translation server, causes the translation server to perform:
receiving, from a client, a translation request to translate an original document;
transmitting a partial portion of the original document or the complete original document to a translation engine;
extracting image data from the original document;
returning, after extracting the image data and before receiving translation data from the translation engine, an incomplete portion of a results document to the client; and
returning, after receiving the translation data from the translation engine, a remaining portion of the results document to the client. 24. The computer program product of claim 23, wherein the computer usable program code further causes the translation server to perform:
receiving, from the client, an image request based upon the incomplete portion of the results document returned to the client; and transmitting, to the client and based upon the image request, image data. 25. The computer program product of claim 23, wherein
the incomplete portion of the results document includes dummy tags based upon image tags extracted from the original document. 26. The computer program product of claim 23, wherein
the image data within the original document is not transmitted to the client before the translation server terminates processing of the translation request. 27. The computer program product of claim 23, wherein
the remaining portion of the results document includes the translation data. | A translation method reduces the Lime required for display of the translation of a web page. Based on a translation request, a translation service server requests a translation engine translate an HTML document. The translation service server also extracts image tags from the HTML, and transmits the dummy tags to the browser based on the image tags. The browser requests image data based on the image tags, and obtains image data. The translation service server receives the translation from the translation engine, and transmits it to the browser. During the display rendering process for the HTML document based on the translation, the browser employs image data that has already been obtained.1-12. (canceled) 13. A method, performed within and by a translation server, comprising:
receiving, from a client, a translation request to translate an original document; transmitting a partial portion of the original document or the complete original document to a translation engine; extracting image data from the original document; returning, after extracting the image data and before receiving translation data from the translation engine, an incomplete portion of a results document to the client; and returning, after receiving the translation data from the translation engine, a remaining portion of the results document to the client. 14. The method of claim 13, further comprising:
receiving, from the client, an image request based upon the incomplete portion of the results document returned to the client; and transmitting, to the client and based upon the image request, image data. 15. The method of claim 13, wherein
the incomplete portion of the results document includes dummy tags based upon image tags extracted from the original document. 16. The method of claim 13, wherein
the image data within the original document is not transmitted to the client before the translation server terminates processing of the translation request. 17. The method of claim 13, wherein
the remaining portion of the results document includes the translation data. 18. A translation server, comprising:
at least one processor, wherein the at least one processor is configured to initiate and/or perform:
receiving, from a client, a translation request to translate an original document;
transmitting a partial portion of the original document or the complete original document to a translation engine;
extracting image data from the original document;
returning, after extracting the image data and before receiving translation data from the translation engine, an incomplete portion of a results document to the client; and
returning, after receiving the translation data from the translation engine, a remaining portion of the results document to the client. 19. The system of claim 18, wherein the at least one processor is further configured to initiate and/or perform:
receiving, from the client, an image request based upon the incomplete portion of the results document returned to the client; and transmitting, to the client and based upon the image request, image data. 20. The system of claim 18, wherein
the incomplete portion of the results document includes dummy tags based upon image tags extracted from the original document. 21. The system of claim 18, wherein
the image data within the original document is not transmitted to the client before the translation server terminates processing of the translation request. 22. The system of claim 18, wherein
the remaining portion of the results document includes the translation data. 23. A computer program product, comprising:
a computer usable storage medium having stored therein computer usage program code, which when executed by a translation server, causes the translation server to perform:
receiving, from a client, a translation request to translate an original document;
transmitting a partial portion of the original document or the complete original document to a translation engine;
extracting image data from the original document;
returning, after extracting the image data and before receiving translation data from the translation engine, an incomplete portion of a results document to the client; and
returning, after receiving the translation data from the translation engine, a remaining portion of the results document to the client. 24. The computer program product of claim 23, wherein the computer usable program code further causes the translation server to perform:
receiving, from the client, an image request based upon the incomplete portion of the results document returned to the client; and transmitting, to the client and based upon the image request, image data. 25. The computer program product of claim 23, wherein
the incomplete portion of the results document includes dummy tags based upon image tags extracted from the original document. 26. The computer program product of claim 23, wherein
the image data within the original document is not transmitted to the client before the translation server terminates processing of the translation request. 27. The computer program product of claim 23, wherein
the remaining portion of the results document includes the translation data. | 2,100 |
5,870 | 5,870 | 14,397,069 | 2,115 | Examples disclose a controller with a meter interface to receive a first input power measurement provided from a meter. The meter delivers input power to a rectifier which delivers power to a load. Additionally, the examples disclose the controller with a rectifier interface to receive a second input power measurement provided from the rectifier. Further, the examples disclose the controller to manage the rectifier based on the first and the second input power measurements. | 1. A controller comprising:
a meter interface to receive a first input power measurement provided from a meter, the meter delivers input power to a rectifier, the rectifier delivers power to a load; and a rectifier interface to receive a second input power measurement provided from the rectifier, the controller manages the rectifier based on the first and the second input power measurements. 2. The controller of claim 1 further comprising:
a management interface to provide a notification associated with the input power measurements received by the controller to an administrator. 3. The controller of claim 2 further comprising:
a rack interface to track a physical location within a server rack of each component connected to each controller interface, the rack interface to communicate with the management interface to provide the notification to the administrator. 4. The controller of claim 1 further comprising:
a circuit protection interface to provide the power from the rectifier to the load and to protect the rectifier by preventing overdraw of the power by the load, the controller manages the circuit protection interface through a circuit breaker. 5. The controller of claim 1 wherein the rectifier further provides power to the controller for operation. 6. The controller of claim 1 wherein the meter interface is one type of communication interface and the rectifier interface is a second type of communication interface. 7. The controller of claim 1 wherein the controller manages the rectifier by performing at least one of: disabling the rectifier, adjusting the input power provided from the meter to the rectifier, detecting a power failure within the rectifier, and monitoring a status of the rectifier. 8. A power system comprising:
a meter to communicate a first input power measurement to a controller, the meter delivers an input power to a rectifier; the rectifier to communicate a second input power measurement to the controller, the rectifier delivers power to a load; and the controller to manage the rectifier and the meter based on the input power measurements. 9. The power system of claim 8 further comprising:
a management module to communicate with the controller and transmit a notification corresponding to the input power measurements to an administrator, the notification transmitted when one of the components within the power system is above or below a threshold amount of power. 10. The power system of claim 8 further comprising:
a protection module to communicate with the controller and to protect the power system, the protection module detects a fault within the power system and interrupts power to the load by the rectifier through a circuit breaker. 11. The power system of claim 8 wherein the power system is located in a shelf of a server rack and the load includes a server. 12. A method for a power distribution system comprising:
receiving a first input power measurement from a meter, the meter delivers input power to a rectifier; receiving a second input power measurement from the rectifier, the rectifier delivers output power to a server; based on the power measurements, managing the rectifier. 13. The method of claim 12 further comprising:
detecting a fault within the meter for further reliance on the second input power measurement from the rectifier to manage the rectifier. 14. The method of claim 12 further comprising:
setting a threshold amount of power on the meter;
determine whether the meter is above or below the threshold amount of power to transmit a notification to an administrator. 15. The method of claim 12 wherein managing the rectifier includes at least one of:
disabling the rectifier;
adjusting the input power to the rectifier from the meter;
detecting a power failure within the rectifier; and
monitoring a status of the rectifier. | Examples disclose a controller with a meter interface to receive a first input power measurement provided from a meter. The meter delivers input power to a rectifier which delivers power to a load. Additionally, the examples disclose the controller with a rectifier interface to receive a second input power measurement provided from the rectifier. Further, the examples disclose the controller to manage the rectifier based on the first and the second input power measurements.1. A controller comprising:
a meter interface to receive a first input power measurement provided from a meter, the meter delivers input power to a rectifier, the rectifier delivers power to a load; and a rectifier interface to receive a second input power measurement provided from the rectifier, the controller manages the rectifier based on the first and the second input power measurements. 2. The controller of claim 1 further comprising:
a management interface to provide a notification associated with the input power measurements received by the controller to an administrator. 3. The controller of claim 2 further comprising:
a rack interface to track a physical location within a server rack of each component connected to each controller interface, the rack interface to communicate with the management interface to provide the notification to the administrator. 4. The controller of claim 1 further comprising:
a circuit protection interface to provide the power from the rectifier to the load and to protect the rectifier by preventing overdraw of the power by the load, the controller manages the circuit protection interface through a circuit breaker. 5. The controller of claim 1 wherein the rectifier further provides power to the controller for operation. 6. The controller of claim 1 wherein the meter interface is one type of communication interface and the rectifier interface is a second type of communication interface. 7. The controller of claim 1 wherein the controller manages the rectifier by performing at least one of: disabling the rectifier, adjusting the input power provided from the meter to the rectifier, detecting a power failure within the rectifier, and monitoring a status of the rectifier. 8. A power system comprising:
a meter to communicate a first input power measurement to a controller, the meter delivers an input power to a rectifier; the rectifier to communicate a second input power measurement to the controller, the rectifier delivers power to a load; and the controller to manage the rectifier and the meter based on the input power measurements. 9. The power system of claim 8 further comprising:
a management module to communicate with the controller and transmit a notification corresponding to the input power measurements to an administrator, the notification transmitted when one of the components within the power system is above or below a threshold amount of power. 10. The power system of claim 8 further comprising:
a protection module to communicate with the controller and to protect the power system, the protection module detects a fault within the power system and interrupts power to the load by the rectifier through a circuit breaker. 11. The power system of claim 8 wherein the power system is located in a shelf of a server rack and the load includes a server. 12. A method for a power distribution system comprising:
receiving a first input power measurement from a meter, the meter delivers input power to a rectifier; receiving a second input power measurement from the rectifier, the rectifier delivers output power to a server; based on the power measurements, managing the rectifier. 13. The method of claim 12 further comprising:
detecting a fault within the meter for further reliance on the second input power measurement from the rectifier to manage the rectifier. 14. The method of claim 12 further comprising:
setting a threshold amount of power on the meter;
determine whether the meter is above or below the threshold amount of power to transmit a notification to an administrator. 15. The method of claim 12 wherein managing the rectifier includes at least one of:
disabling the rectifier;
adjusting the input power to the rectifier from the meter;
detecting a power failure within the rectifier; and
monitoring a status of the rectifier. | 2,100 |
5,871 | 5,871 | 14,077,748 | 2,127 | A method of predicting behavior of a drill bit includes: generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object as a combination of at least two two-dimensional polygons; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of one or both of axial load and a side load; determining whether the three-dimensional object is in contact with the borehole surface by determining if one of the nodes is within both of the two-dimensional polygons during the simulation; and estimating an amount of lateral motion of the drill bit during the simulation. | 1. A method of predicting behavior of a drill bit, comprising:
generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of an axial load and a side load; determining whether the three-dimensional object is in contact with the borehole surface by determining if one of the nodes is within both of the two-dimensional polygons during the simulation; and estimating an amount of lateral motion of the drill bit during the simulation. 2. The method of claim 1, wherein the representation is a combination of at least two two-dimensional polygons 3. The method of claim 1, wherein the at least one component is a gage pad disposed on a body portion of the drill bit. 4. The method of claim 3, further comprising estimating formation material removal caused by contact between the gage pad and the formation. 5. The method of claim 1, wherein the borehole surface includes:
a plurality of spokes arrayed along the borehole surface and arranged about a central axis corresponding to an initial axis of rotation of the drill bit; and a plurality of nodes arrayed along each of the plurality of spokes. 6. The method of claim 1, wherein the borehole surface includes a plurality of nodes arrayed thereon, and estimating contact includes determining whether one or more of the plurality of nodes falls within the three-dimensional object. 7. The method of claim 1, further comprising:
calibrating the simulation of the drill bit operation by comparing the estimated lateral motion to an actual lateral motion produced in a laboratory test operating under the same axial and side loads. 8. A method of selecting a drill bit for directional drilling, comprising:
generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object as a combination of at least two two-dimensional polygons; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of a weight on bit (WOB) the simulation including causing the drill bit to initially rotate about a drill bit axis that is coaxial with an axis of the borehole, the simulation including increasing one of the WOB and a rate of penetration (ROP) of the drill bit over time; and determining the WOB or ROP that results in the drill bit stabilizing in the borehole. 9. The method of claim 8, wherein the at least one component is a gage pad disposed on a body portion of the drill bit. 10. The method of claim 9, further comprising estimating formation material removal caused by contact between the gage pad and the formation. 11. The method of claim 8, wherein the borehole surface includes:
a plurality of spokes arrayed along the borehole surface and arranged about a central axis corresponding to an initial axis of rotation of the drill bit; and a plurality of nodes arrayed along each of the plurality of spokes. 12. The method of claim 8, wherein the borehole surface includes a plurality of nodes arrayed thereon, and estimating contact includes determining whether one or more of the plurality of nodes falls within the three-dimensional object. 13. The method of claim 8, wherein determining includes determining the displacement of the drill bit axis from the initial axis of the borehole over time. 14. A method of selecting a drill bit for directional drilling, comprising:
generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of a weight on bit (WOB) and a side load, the simulation including causing the drill bit to initially rotate about a drill bit axis that is coaxial with an axis of the borehole, the simulation including increasing one of the WOB and a rate of penetration (ROP) of the drill bit over time; and determining the WOB or ROP that results in the drill bit stabilizing in the borehole. 16. The method of claim 14, wherein determining includes determining the displacement of the drill bit axis from the initial axis of the borehole over time. 17. The method of claim 15, wherein the representation is a combination of at least two two-dimensional polygons. 18. A method of selecting between one of two drill bits for use in directional drilling, comprising:
generating, by a processor, a representation of at least one component of a first and a second drill bit; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the first drill bit and the second drill within the borehole with the application of an axial load, the simulation including causing the first and second drill bits to initially rotate about a drill bit axis, the simulation including increasing the side load of the first and second drill bit over time; determining the side load that results in the first and second drill bits stabilizing in the borehole; and selecting from the first and second drill bit for direction drilling the one stabilizes at the lower side load. 19. The method of claim 18, wherein the representation is a combination of at least two two-dimensional polygons. | A method of predicting behavior of a drill bit includes: generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object as a combination of at least two two-dimensional polygons; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of one or both of axial load and a side load; determining whether the three-dimensional object is in contact with the borehole surface by determining if one of the nodes is within both of the two-dimensional polygons during the simulation; and estimating an amount of lateral motion of the drill bit during the simulation.1. A method of predicting behavior of a drill bit, comprising:
generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of an axial load and a side load; determining whether the three-dimensional object is in contact with the borehole surface by determining if one of the nodes is within both of the two-dimensional polygons during the simulation; and estimating an amount of lateral motion of the drill bit during the simulation. 2. The method of claim 1, wherein the representation is a combination of at least two two-dimensional polygons 3. The method of claim 1, wherein the at least one component is a gage pad disposed on a body portion of the drill bit. 4. The method of claim 3, further comprising estimating formation material removal caused by contact between the gage pad and the formation. 5. The method of claim 1, wherein the borehole surface includes:
a plurality of spokes arrayed along the borehole surface and arranged about a central axis corresponding to an initial axis of rotation of the drill bit; and a plurality of nodes arrayed along each of the plurality of spokes. 6. The method of claim 1, wherein the borehole surface includes a plurality of nodes arrayed thereon, and estimating contact includes determining whether one or more of the plurality of nodes falls within the three-dimensional object. 7. The method of claim 1, further comprising:
calibrating the simulation of the drill bit operation by comparing the estimated lateral motion to an actual lateral motion produced in a laboratory test operating under the same axial and side loads. 8. A method of selecting a drill bit for directional drilling, comprising:
generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object as a combination of at least two two-dimensional polygons; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of a weight on bit (WOB) the simulation including causing the drill bit to initially rotate about a drill bit axis that is coaxial with an axis of the borehole, the simulation including increasing one of the WOB and a rate of penetration (ROP) of the drill bit over time; and determining the WOB or ROP that results in the drill bit stabilizing in the borehole. 9. The method of claim 8, wherein the at least one component is a gage pad disposed on a body portion of the drill bit. 10. The method of claim 9, further comprising estimating formation material removal caused by contact between the gage pad and the formation. 11. The method of claim 8, wherein the borehole surface includes:
a plurality of spokes arrayed along the borehole surface and arranged about a central axis corresponding to an initial axis of rotation of the drill bit; and a plurality of nodes arrayed along each of the plurality of spokes. 12. The method of claim 8, wherein the borehole surface includes a plurality of nodes arrayed thereon, and estimating contact includes determining whether one or more of the plurality of nodes falls within the three-dimensional object. 13. The method of claim 8, wherein determining includes determining the displacement of the drill bit axis from the initial axis of the borehole over time. 14. A method of selecting a drill bit for directional drilling, comprising:
generating, by a processor, a representation of at least one component of the drill bit, the representation representing a three-dimensional object; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the drill bit within the borehole with the application of a weight on bit (WOB) and a side load, the simulation including causing the drill bit to initially rotate about a drill bit axis that is coaxial with an axis of the borehole, the simulation including increasing one of the WOB and a rate of penetration (ROP) of the drill bit over time; and determining the WOB or ROP that results in the drill bit stabilizing in the borehole. 16. The method of claim 14, wherein determining includes determining the displacement of the drill bit axis from the initial axis of the borehole over time. 17. The method of claim 15, wherein the representation is a combination of at least two two-dimensional polygons. 18. A method of selecting between one of two drill bits for use in directional drilling, comprising:
generating, by a processor, a representation of at least one component of a first and a second drill bit; representing a borehole formed in an earth formation during a drilling operation by generating a mathematical representation of a borehole surface defined by a plurality of nodes; simulating operation of the first drill bit and the second drill within the borehole with the application of an axial load, the simulation including causing the first and second drill bits to initially rotate about a drill bit axis, the simulation including increasing the side load of the first and second drill bit over time; determining the side load that results in the first and second drill bits stabilizing in the borehole; and selecting from the first and second drill bit for direction drilling the one stabilizes at the lower side load. 19. The method of claim 18, wherein the representation is a combination of at least two two-dimensional polygons. | 2,100 |
5,872 | 5,872 | 14,530,561 | 2,185 | A system is disclosed that includes a first communication circuit that communicates data over a first data port using a first communication protocol. The system also includes a second communication circuit that communicates data over a second data port using a second communication protocol. The second communication protocol processes read and write requests in an order that the read and write requests are received. A bridge circuit is configured to communicate data between the first data port of the first communication circuit and the second data port of the second communication circuit. The bridge circuit is configured to communicate non-posted writes to the second communication circuit via a buffer circuit and communicate posted writes to the second communication circuit via a communication path that bypasses the buffer circuit. | 1. A system, comprising:
a first communication circuit configured to communicate data over a first data port using a first communication protocol; a second communication circuit configured to communicate data over a second data port using a second communication protocol that processes read and write requests in an order that the read and write requests are received; and a bridge circuit configured to communicate data between the first data port of the first communication circuit and the second data port of the second communication circuit, wherein the bridge circuit is configured to communicate non-posted writes to the second communication circuit via a buffer circuit and communicate posted writes to the second communication circuit via a communication path that bypasses the buffer circuit. 2. The system of claim 1, further comprising:
a memory connected to the first communication circuit; a processing circuit coupled to the first communication circuit and having a cache for caching data from the memory; and wherein:
the first communication circuit is further configure to, in response to receiving a read request on the first data port and indicating a memory address of the memory that is cached by the cache, retrieve a data value corresponding to the memory address from the cache; and
deadlock is prevented for a write-back of a data value from the cache being blocked by pending non-posted writes by the communicating of the non-posted writes to the second communication circuit via a buffer circuit. 3. The system of claim 1, wherein the bridge circuit is further configured to prioritize posted writes to the second communication circuit over non-posted writes to the second communication circuit. 4. The system of claim 1, wherein the buffer circuit is a first-in-first-out (FIFO) buffer. 5. The system of claim 1, wherein the bridge circuit is configured to communicate data with the first communication circuit using the first communication protocol and communicate data with the second communication circuit using the second communication protocol. 6. The system of claim 1, wherein the bridge circuit includes an address translation circuit configured and arranged to perform address translation for posted read and write transactions between the first communication circuit and the second communication circuit. 7. The system of claim 6, wherein the bridge circuit includes a direct memory access circuit configure to provide read and write transactions from one of the first or second communication circuits access to other another one of the first or second communication circuits on a data path that bypasses the address translation circuit. 8. The system of claim 1, wherein:
the bridge circuit and the second communication circuit are configured to, in response to receiving a non-posted write from the first communication circuit, provide an acknowledgement to the non-posted write within a first period of time; and the buffer circuit is configured to buffer at least a maximum number of non-posted write requests that may be issued by the first communication circuit in the first time period. 9. The system of claim 8, wherein:
the buffer circuit is configured to buffer less than the maximum number of non-posted and posted write requests that may be issued by the first communication circuit in the first time period. 10. The system of claim 1, wherein the bridge circuit includes a circuit configured to, in response to a write from the first communication circuit, determine if the write is a posted write or non-posted write. 11. The system of claim 1, wherein the bridge circuit includes a circuit configured to, in response to a write from the first communication circuit, determine if the write is a posted write or non-posted write based on a destination address. 12. A method for data communication, comprising:
using a first communication circuit, communicating data over a first data port using a first communication protocol; using a second communication circuit, communicating data over a second data port using a second communication protocol that processes read and write requests in an order that the read and write requests are received, communicating non-posted writes from the first communication circuit to the second communication circuit via a buffer circuit; communicating posted writes from the first communication circuit to the second communication circuit via a communication path that bypasses the buffer circuit. 13. The method of claim 12, wherein the communicating of posted writes from the first communication circuit to the second communication circuit includes communicating the posted write to the second communication circuit prior to communicating non-posted writes that are stored in the buffer circuit. 14. The method of claim 12, further comprising:
using the first communication circuit to maintain data coherency between data stored in a memory connected to the first communication circuit and a cache connected to the first communication circuit. 15. The method of claim 12, wherein the buffer circuit is a first-in-first-out (FIFO) buffer. 16. The method of claim 12, further comprising, performing address translation for posted read and write transactions between the first communication circuit and the second communication circuit. 17. The method of claim 12, further comprising in response to receiving a write from the first communication circuit, determining if the write is a posted write or non-posted write based on a destination address. 18. The method of claim 12, further comprising:
in response to determining that the write is a non-posted write, routing the non-posted write to the buffer circuit; and in response to determining that the write is a posted write, routing the posted write to the communication path that bypasses the buffer circuit. 19. A system, comprising:
a first communication circuit being configured to communicate data over a first data port using a first communication protocol; a second communication circuit configured to communicate data over a second data port using a second communication protocol that processes read and write requests in an order that the read and write requests are received; and a bridge circuit, including: a first communication path between the first and second data ports that include a buffer circuit; a second communication path between the first and second data ports that bypasses the buffer circuit; and an input circuit configured to:
determine if a write transaction received from the first communication circuit is a posted write or a non-posted write;
in response to determining the write transaction is a non-posted write, provide the non-posted write to the second communication circuit via the second communication path; and
in response to determining the write transaction is a posted write, provide the posted write to the second communication circuit via the second communication path. 20. The system of claim 19, wherein the input circuit is configured to determine if the write transaction is a posted write or a non-posted write based on a destination address indicated in the write transaction. | A system is disclosed that includes a first communication circuit that communicates data over a first data port using a first communication protocol. The system also includes a second communication circuit that communicates data over a second data port using a second communication protocol. The second communication protocol processes read and write requests in an order that the read and write requests are received. A bridge circuit is configured to communicate data between the first data port of the first communication circuit and the second data port of the second communication circuit. The bridge circuit is configured to communicate non-posted writes to the second communication circuit via a buffer circuit and communicate posted writes to the second communication circuit via a communication path that bypasses the buffer circuit.1. A system, comprising:
a first communication circuit configured to communicate data over a first data port using a first communication protocol; a second communication circuit configured to communicate data over a second data port using a second communication protocol that processes read and write requests in an order that the read and write requests are received; and a bridge circuit configured to communicate data between the first data port of the first communication circuit and the second data port of the second communication circuit, wherein the bridge circuit is configured to communicate non-posted writes to the second communication circuit via a buffer circuit and communicate posted writes to the second communication circuit via a communication path that bypasses the buffer circuit. 2. The system of claim 1, further comprising:
a memory connected to the first communication circuit; a processing circuit coupled to the first communication circuit and having a cache for caching data from the memory; and wherein:
the first communication circuit is further configure to, in response to receiving a read request on the first data port and indicating a memory address of the memory that is cached by the cache, retrieve a data value corresponding to the memory address from the cache; and
deadlock is prevented for a write-back of a data value from the cache being blocked by pending non-posted writes by the communicating of the non-posted writes to the second communication circuit via a buffer circuit. 3. The system of claim 1, wherein the bridge circuit is further configured to prioritize posted writes to the second communication circuit over non-posted writes to the second communication circuit. 4. The system of claim 1, wherein the buffer circuit is a first-in-first-out (FIFO) buffer. 5. The system of claim 1, wherein the bridge circuit is configured to communicate data with the first communication circuit using the first communication protocol and communicate data with the second communication circuit using the second communication protocol. 6. The system of claim 1, wherein the bridge circuit includes an address translation circuit configured and arranged to perform address translation for posted read and write transactions between the first communication circuit and the second communication circuit. 7. The system of claim 6, wherein the bridge circuit includes a direct memory access circuit configure to provide read and write transactions from one of the first or second communication circuits access to other another one of the first or second communication circuits on a data path that bypasses the address translation circuit. 8. The system of claim 1, wherein:
the bridge circuit and the second communication circuit are configured to, in response to receiving a non-posted write from the first communication circuit, provide an acknowledgement to the non-posted write within a first period of time; and the buffer circuit is configured to buffer at least a maximum number of non-posted write requests that may be issued by the first communication circuit in the first time period. 9. The system of claim 8, wherein:
the buffer circuit is configured to buffer less than the maximum number of non-posted and posted write requests that may be issued by the first communication circuit in the first time period. 10. The system of claim 1, wherein the bridge circuit includes a circuit configured to, in response to a write from the first communication circuit, determine if the write is a posted write or non-posted write. 11. The system of claim 1, wherein the bridge circuit includes a circuit configured to, in response to a write from the first communication circuit, determine if the write is a posted write or non-posted write based on a destination address. 12. A method for data communication, comprising:
using a first communication circuit, communicating data over a first data port using a first communication protocol; using a second communication circuit, communicating data over a second data port using a second communication protocol that processes read and write requests in an order that the read and write requests are received, communicating non-posted writes from the first communication circuit to the second communication circuit via a buffer circuit; communicating posted writes from the first communication circuit to the second communication circuit via a communication path that bypasses the buffer circuit. 13. The method of claim 12, wherein the communicating of posted writes from the first communication circuit to the second communication circuit includes communicating the posted write to the second communication circuit prior to communicating non-posted writes that are stored in the buffer circuit. 14. The method of claim 12, further comprising:
using the first communication circuit to maintain data coherency between data stored in a memory connected to the first communication circuit and a cache connected to the first communication circuit. 15. The method of claim 12, wherein the buffer circuit is a first-in-first-out (FIFO) buffer. 16. The method of claim 12, further comprising, performing address translation for posted read and write transactions between the first communication circuit and the second communication circuit. 17. The method of claim 12, further comprising in response to receiving a write from the first communication circuit, determining if the write is a posted write or non-posted write based on a destination address. 18. The method of claim 12, further comprising:
in response to determining that the write is a non-posted write, routing the non-posted write to the buffer circuit; and in response to determining that the write is a posted write, routing the posted write to the communication path that bypasses the buffer circuit. 19. A system, comprising:
a first communication circuit being configured to communicate data over a first data port using a first communication protocol; a second communication circuit configured to communicate data over a second data port using a second communication protocol that processes read and write requests in an order that the read and write requests are received; and a bridge circuit, including: a first communication path between the first and second data ports that include a buffer circuit; a second communication path between the first and second data ports that bypasses the buffer circuit; and an input circuit configured to:
determine if a write transaction received from the first communication circuit is a posted write or a non-posted write;
in response to determining the write transaction is a non-posted write, provide the non-posted write to the second communication circuit via the second communication path; and
in response to determining the write transaction is a posted write, provide the posted write to the second communication circuit via the second communication path. 20. The system of claim 19, wherein the input circuit is configured to determine if the write transaction is a posted write or a non-posted write based on a destination address indicated in the write transaction. | 2,100 |
5,873 | 5,873 | 15,168,223 | 2,169 | A framework for memory optimization of database indexes, and in particular for aging full-text index data, is described herein. In one embodiment, if, while a database table is aged, there are index tables associated with the database table, the associated index tables are automatically aged. This way, the system memory footprint will be reduced, leading to reduced cost as less system memory is required to perform remaining operations, and leading to increased performance as more system memory is available for other operations. | 1. A computer-implemented method of aging database index data, comprising:
receiving a command to unload a database table, wherein the database table is associated with a database index, and wherein the database index is stored in a database index table; and in response to the command, unloading the database table and the database index table. 2. The computer-implemented method of claim 1, wherein the database table is stored in a relational database. 3. The computer-implemented method of claim 1, wherein the database table is stored in a NoSQL database. 4. The computer-implemented method of claim 1, wherein the database index includes a full-text index. 5. The computer-implemented method of claim 1, wherein unloading the database index table is performed using a database UNLOAD command. 6. The computer-implemented method of claim 1, wherein the database table is associated with a plurality of database indexes, and wherein unloading the database table and the database index table includes unloading the plurality of database indexes. 7. The computer-implemented method of claim 1, further comprising:
receiving a command to load the database table; and loading the database table and the database index table from a secondary storage medium into a system memory. 8. A computing apparatus facilitating aging of database index data, the computing apparatus comprising:
a processor; and a memory storing instructions that, when executed by the processor, configures the apparatus to:
receive a command to unload a database table, wherein the database table is associated with a database index, and wherein the database index is stored in a database index table, and
in response to the command, unload the database table and the database index table. 9. The computing apparatus of claim 8, wherein the database table is stored in an object database. 10. The computing apparatus of claim 8, wherein unloading the database index table includes copying data contained in the database index table from a system memory to a secondary storage. 11. The computing apparatus of claim 8, wherein the database index includes a clustered index. 12. The computing apparatus of claim 8, wherein unloading the database table is performed using a database UNLOAD command. 13. The computing apparatus of claim 8, wherein the database table is associated with a plurality of database indexes, and wherein unloading the database table and the database index table includes unloading the plurality of database indexes. 14. The computing apparatus of claim 8, wherein the database table is associated with a database index based on an entry stored in a table-index association table, wherein the entry includes an identifier of the database table and an identifier of the database index. 15. A non-transitory computer-readable storage medium facilitating aging of database index data, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to:
receive a command to unload a database table, wherein the database table is associated with a database index, and wherein the database index is stored in a database index table; and in response to the command, unload the database table and the database index table. 16. The non-transitory computer-readable storage medium of claim 15, wherein the database table is stored in an in-memory database. 17. The non-transitory computer-readable storage medium of claim 15, wherein unloading the database index table includes copying data contained in the database index table from a system memory to a secondary storage. 18. The non-transitory computer-readable storage medium of claim 17, wherein the secondary storage includes a disc based storage medium. 19. The non-transitory computer-readable storage medium of claim 15, wherein, before being unloaded, the database table and the database table index are stored in system memory. 20. The non-transitory computer-readable storage medium of claim 15, wherein the database index includes a full-text index. | A framework for memory optimization of database indexes, and in particular for aging full-text index data, is described herein. In one embodiment, if, while a database table is aged, there are index tables associated with the database table, the associated index tables are automatically aged. This way, the system memory footprint will be reduced, leading to reduced cost as less system memory is required to perform remaining operations, and leading to increased performance as more system memory is available for other operations.1. A computer-implemented method of aging database index data, comprising:
receiving a command to unload a database table, wherein the database table is associated with a database index, and wherein the database index is stored in a database index table; and in response to the command, unloading the database table and the database index table. 2. The computer-implemented method of claim 1, wherein the database table is stored in a relational database. 3. The computer-implemented method of claim 1, wherein the database table is stored in a NoSQL database. 4. The computer-implemented method of claim 1, wherein the database index includes a full-text index. 5. The computer-implemented method of claim 1, wherein unloading the database index table is performed using a database UNLOAD command. 6. The computer-implemented method of claim 1, wherein the database table is associated with a plurality of database indexes, and wherein unloading the database table and the database index table includes unloading the plurality of database indexes. 7. The computer-implemented method of claim 1, further comprising:
receiving a command to load the database table; and loading the database table and the database index table from a secondary storage medium into a system memory. 8. A computing apparatus facilitating aging of database index data, the computing apparatus comprising:
a processor; and a memory storing instructions that, when executed by the processor, configures the apparatus to:
receive a command to unload a database table, wherein the database table is associated with a database index, and wherein the database index is stored in a database index table, and
in response to the command, unload the database table and the database index table. 9. The computing apparatus of claim 8, wherein the database table is stored in an object database. 10. The computing apparatus of claim 8, wherein unloading the database index table includes copying data contained in the database index table from a system memory to a secondary storage. 11. The computing apparatus of claim 8, wherein the database index includes a clustered index. 12. The computing apparatus of claim 8, wherein unloading the database table is performed using a database UNLOAD command. 13. The computing apparatus of claim 8, wherein the database table is associated with a plurality of database indexes, and wherein unloading the database table and the database index table includes unloading the plurality of database indexes. 14. The computing apparatus of claim 8, wherein the database table is associated with a database index based on an entry stored in a table-index association table, wherein the entry includes an identifier of the database table and an identifier of the database index. 15. A non-transitory computer-readable storage medium facilitating aging of database index data, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to:
receive a command to unload a database table, wherein the database table is associated with a database index, and wherein the database index is stored in a database index table; and in response to the command, unload the database table and the database index table. 16. The non-transitory computer-readable storage medium of claim 15, wherein the database table is stored in an in-memory database. 17. The non-transitory computer-readable storage medium of claim 15, wherein unloading the database index table includes copying data contained in the database index table from a system memory to a secondary storage. 18. The non-transitory computer-readable storage medium of claim 17, wherein the secondary storage includes a disc based storage medium. 19. The non-transitory computer-readable storage medium of claim 15, wherein, before being unloaded, the database table and the database table index are stored in system memory. 20. The non-transitory computer-readable storage medium of claim 15, wherein the database index includes a full-text index. | 2,100 |
5,874 | 5,874 | 14,292,841 | 2,178 | Determining interactions between scripts and elements of a markup language document includes loading a markup language document into a browser. The markup language document includes a plurality of markup language elements. A call from within the markup language document to a method specified by a script is detected. The markup language element of the plurality of markup language elements that is modified by execution of the method is determined using the processor. Log data is stored that includes a name of the modified markup language element in association with a name of the method. | 1. A method, comprising:
loading a markup language document into a browser, wherein the markup language document comprises a plurality of markup language elements; detecting, using a processor, a call from within the markup language document to a method specified by a script; determining, using the processor, a markup language element of the plurality of markup language elements that is modified by execution of the method; and storing log data comprising a name of the modified markup language element in association with a name of the method. 2. The method of claim 1, wherein storing log data is performed only responsive to determining that the markup language element is selected for monitoring. 3. The method of claim 1, further comprising:
storing an image comprising the markup language element. 4. The method of claim 1, further comprising:
storing a first state of the markup language element prior to execution of the method; and storing a second state of the markup language element subsequent to execution of the method. 5. The method of claim 4, further comprising:
determining a data item of the markup language element that changed from the first state to the second state. 6. The method of claim 5, wherein the first state and the second state are determined during loading of the markup language document into the browser. 7. The method of claim 5, wherein the first state and the second state are determined subsequent to loading the markup language document into the browser. 8. The method of claim 1, further comprising:
detecting a marker condition; and responsive to detecting the marker condition, inserting a marker into the log data. 9-20. (canceled) | Determining interactions between scripts and elements of a markup language document includes loading a markup language document into a browser. The markup language document includes a plurality of markup language elements. A call from within the markup language document to a method specified by a script is detected. The markup language element of the plurality of markup language elements that is modified by execution of the method is determined using the processor. Log data is stored that includes a name of the modified markup language element in association with a name of the method.1. A method, comprising:
loading a markup language document into a browser, wherein the markup language document comprises a plurality of markup language elements; detecting, using a processor, a call from within the markup language document to a method specified by a script; determining, using the processor, a markup language element of the plurality of markup language elements that is modified by execution of the method; and storing log data comprising a name of the modified markup language element in association with a name of the method. 2. The method of claim 1, wherein storing log data is performed only responsive to determining that the markup language element is selected for monitoring. 3. The method of claim 1, further comprising:
storing an image comprising the markup language element. 4. The method of claim 1, further comprising:
storing a first state of the markup language element prior to execution of the method; and storing a second state of the markup language element subsequent to execution of the method. 5. The method of claim 4, further comprising:
determining a data item of the markup language element that changed from the first state to the second state. 6. The method of claim 5, wherein the first state and the second state are determined during loading of the markup language document into the browser. 7. The method of claim 5, wherein the first state and the second state are determined subsequent to loading the markup language document into the browser. 8. The method of claim 1, further comprising:
detecting a marker condition; and responsive to detecting the marker condition, inserting a marker into the log data. 9-20. (canceled) | 2,100 |
5,875 | 5,875 | 14,492,512 | 2,173 | Progressive functionality command and object access for object and other content insertion and modification are provided. In a software application user interface, when a given command is selected, where the command is a parent command having one or more child commands, a subset of all available child commands under the selected parent command may be provided in the user interface in proximity to the selected parent command. If a user needs more or different commands than are presented in the subset, a contextual pane may be selectively presented in the user interface having a number of additional available commands for selection by the user. Once the contextual pane is displayed, it may stay displayed until it is manually or automatically dismissed. | 1. A method for providing progressive functionality access, the method comprising:
in a computer-generated application user interface, providing a parent functionality for application to a content item being generated or edited in the application user interface; receiving a selection for accessing additional functionalities in addition to the parent functionality, the additional functionalities for application to the content item; and providing in the application user interface a contextual functionalities pane in which is provided one or more additional functionalities. 2. The method of claim 1, prior to providing a contextual functionalities pane, further comprising providing an intermediary array of additional functionalities to the parent functionality, the intermediary array of additional functionalities being a subset of functionalities available under the parent functionality and the one or more functionalities displayed in the contextual functionalities pane being in addition to the subset of functionalities provided in the intermediary array. 3. The method of claim 2, wherein the subset of functionalities available under the parent functionality is provided based on an historical usage of one or more functionalities available in the application user interface. 4. The method of claim 3, wherein if no logical subset of functionalities is determined for provision in the intermediary array, then forgoing a provision of the intermediary array and providing in the contextual functionalities pane access to all functionalities available under the parent functionality. 5. The method of claim 2, wherein the subset of functionalities available under the parent functionality include functionalities most recently used by a user of the application user interface. 6. The method of claim 1, wherein the contextual functionalities pane is displayed in the application user interface in proximity to a workspace in the application user interface in which one or more content items are generated or edited for allowing application of the one or more functionalities in the contextual functionalities pane to content items in the workspace. 7. The method of claim 6, wherein the one or more functionalities provided in the contextual functionalities pane are displayed in an order based on an historical usage of the one or more functionalities. 8. The method of claim 6, wherein the one or more functionalities provided in the contextual functionalities pane are displayed in an order based on a context of a content item in the workspace to which the one or more functionalities may be applied. 9. The method of claim 8, wherein one or more functionalities that may be used in association with one or more components of the content item are provided in the contextual functionalities pane. 10. The method of claim 8, wherein one or more functionalities that may be used in association with a selected component of the content item in the workspace are provided in the contextual functionalities pane. 11. The method of claim 6, wherein if a given component of the content item is associated with a given functionality in the contextual functionalities pane, highlighting the given functionality in the contextual functionalities pane. 12. The method of claim 1, wherein providing the contextual functionalities pane in the application user interface is in response to receiving a selection of a functionalities pane control displayed in association with the parent functionality. 13. The method of claim 1, wherein providing the contextual functionalities pane in the application user interface is in response to receiving a selection in a display space of the application user interface where the contextual functionalities pane is displayed when provided. 14. The method of claim 1, wherein providing the contextual functionalities pane in the application user interface is in response to receiving a selection on a component of the content item to which one of the one or more functionalities of the contextual functionalities pane may be applied. 15. The method of claim 1, wherein a display of the contextual functionalities pane is maintained in the application user interface until a context of the content item for which the contextual functionalities pane is provided changes. 16. The method of claim 1, wherein a display of the contextual functionalities pane is maintained in the application user interface until one of a manual dismissal of the contextual functionalities pane, a selection in the application user interface outside the contextual functionalities pane, or a timeout period in which no functionality is selected from the contextual functionalities pane. 17. The method of claim 1, wherein the one or more functionalities provided in the contextual functionalities pane include one or more of an object insertion function, an object formatting function, an object layout function, and an object structuring function. 18. The method of claim 17, wherein in response to selection of one of the one or more functionalities provided in the contextual functionalities pane, applying the selected functionality to a designated content item in the application user interface. 19. A method for providing progressive functionality access, the method comprising:
in a computer-generated application user interface, providing a parent functionality for application to a content item being generated or edited in the application user interface; in response to a selection of the parent functionality, providing an intermediary array of additional functionalities including a subset of functionalities available under the parent functionality; receiving a selection for accessing additional functionalities in addition to the parent functionality and in addition to the subset of functionalities available under the parent functionality; and displaying a contextual functionalities pane in the application user interface in proximity to a workspace in the application user interface in which the content item is generated or edited for allowing application of one or more additional functionalities provided in the contextual functionalities pane to the content item. 20. A computer-readable medium containing computer executable instructions, which when executed by a computer perform a method for providing progressive functionality access, the method comprising:
in a computer-generated application user interface, providing a parent functionality for application to a content item being generated or edited in the application user interface; providing an intermediary array of additional functionalities to the parent functionality, the intermediary array of additional functionalities being a determined subset of functionalities available under the parent functionality; if no subset of functionalities is determined for provision in the intermediary array, then forgoing a provision of the intermediary array and then providing in the application user interface a contextual functionalities pane in which is provided access to all functionalities available under the parent functionality; and
wherein a provision of the contextual functionalities pane is maintained in the application user interface until a context of the content item for which the contextual functionalities pane is provided changes. | Progressive functionality command and object access for object and other content insertion and modification are provided. In a software application user interface, when a given command is selected, where the command is a parent command having one or more child commands, a subset of all available child commands under the selected parent command may be provided in the user interface in proximity to the selected parent command. If a user needs more or different commands than are presented in the subset, a contextual pane may be selectively presented in the user interface having a number of additional available commands for selection by the user. Once the contextual pane is displayed, it may stay displayed until it is manually or automatically dismissed.1. A method for providing progressive functionality access, the method comprising:
in a computer-generated application user interface, providing a parent functionality for application to a content item being generated or edited in the application user interface; receiving a selection for accessing additional functionalities in addition to the parent functionality, the additional functionalities for application to the content item; and providing in the application user interface a contextual functionalities pane in which is provided one or more additional functionalities. 2. The method of claim 1, prior to providing a contextual functionalities pane, further comprising providing an intermediary array of additional functionalities to the parent functionality, the intermediary array of additional functionalities being a subset of functionalities available under the parent functionality and the one or more functionalities displayed in the contextual functionalities pane being in addition to the subset of functionalities provided in the intermediary array. 3. The method of claim 2, wherein the subset of functionalities available under the parent functionality is provided based on an historical usage of one or more functionalities available in the application user interface. 4. The method of claim 3, wherein if no logical subset of functionalities is determined for provision in the intermediary array, then forgoing a provision of the intermediary array and providing in the contextual functionalities pane access to all functionalities available under the parent functionality. 5. The method of claim 2, wherein the subset of functionalities available under the parent functionality include functionalities most recently used by a user of the application user interface. 6. The method of claim 1, wherein the contextual functionalities pane is displayed in the application user interface in proximity to a workspace in the application user interface in which one or more content items are generated or edited for allowing application of the one or more functionalities in the contextual functionalities pane to content items in the workspace. 7. The method of claim 6, wherein the one or more functionalities provided in the contextual functionalities pane are displayed in an order based on an historical usage of the one or more functionalities. 8. The method of claim 6, wherein the one or more functionalities provided in the contextual functionalities pane are displayed in an order based on a context of a content item in the workspace to which the one or more functionalities may be applied. 9. The method of claim 8, wherein one or more functionalities that may be used in association with one or more components of the content item are provided in the contextual functionalities pane. 10. The method of claim 8, wherein one or more functionalities that may be used in association with a selected component of the content item in the workspace are provided in the contextual functionalities pane. 11. The method of claim 6, wherein if a given component of the content item is associated with a given functionality in the contextual functionalities pane, highlighting the given functionality in the contextual functionalities pane. 12. The method of claim 1, wherein providing the contextual functionalities pane in the application user interface is in response to receiving a selection of a functionalities pane control displayed in association with the parent functionality. 13. The method of claim 1, wherein providing the contextual functionalities pane in the application user interface is in response to receiving a selection in a display space of the application user interface where the contextual functionalities pane is displayed when provided. 14. The method of claim 1, wherein providing the contextual functionalities pane in the application user interface is in response to receiving a selection on a component of the content item to which one of the one or more functionalities of the contextual functionalities pane may be applied. 15. The method of claim 1, wherein a display of the contextual functionalities pane is maintained in the application user interface until a context of the content item for which the contextual functionalities pane is provided changes. 16. The method of claim 1, wherein a display of the contextual functionalities pane is maintained in the application user interface until one of a manual dismissal of the contextual functionalities pane, a selection in the application user interface outside the contextual functionalities pane, or a timeout period in which no functionality is selected from the contextual functionalities pane. 17. The method of claim 1, wherein the one or more functionalities provided in the contextual functionalities pane include one or more of an object insertion function, an object formatting function, an object layout function, and an object structuring function. 18. The method of claim 17, wherein in response to selection of one of the one or more functionalities provided in the contextual functionalities pane, applying the selected functionality to a designated content item in the application user interface. 19. A method for providing progressive functionality access, the method comprising:
in a computer-generated application user interface, providing a parent functionality for application to a content item being generated or edited in the application user interface; in response to a selection of the parent functionality, providing an intermediary array of additional functionalities including a subset of functionalities available under the parent functionality; receiving a selection for accessing additional functionalities in addition to the parent functionality and in addition to the subset of functionalities available under the parent functionality; and displaying a contextual functionalities pane in the application user interface in proximity to a workspace in the application user interface in which the content item is generated or edited for allowing application of one or more additional functionalities provided in the contextual functionalities pane to the content item. 20. A computer-readable medium containing computer executable instructions, which when executed by a computer perform a method for providing progressive functionality access, the method comprising:
in a computer-generated application user interface, providing a parent functionality for application to a content item being generated or edited in the application user interface; providing an intermediary array of additional functionalities to the parent functionality, the intermediary array of additional functionalities being a determined subset of functionalities available under the parent functionality; if no subset of functionalities is determined for provision in the intermediary array, then forgoing a provision of the intermediary array and then providing in the application user interface a contextual functionalities pane in which is provided access to all functionalities available under the parent functionality; and
wherein a provision of the contextual functionalities pane is maintained in the application user interface until a context of the content item for which the contextual functionalities pane is provided changes. | 2,100 |
5,876 | 5,876 | 15,260,104 | 2,175 | Systems and methods for providing tablet web visual browsing are provided. In example embodiments, an identity of a user of a mobile device is determined and user specific information is accessed based on the identity. A landing page having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest is provided. The landing page displays a plurality of categories without displaying sub-categories of the plurality of categories and includes the user specific information. A first touch input that indicates a selection of a category is received from the mobile device. A plurality of subcategories of the selected category and a search result a plurality of item selections within the selected category are determined. A user interface is presented on the mobile device that displays the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. | 1. A method comprising:
determining an identity of a user of a mobile device; accessing user specific information for the user based on the identity; causing presentation of a landing page having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest, the landing page displaying a plurality of categories without displaying subcategories of the plurality of categories, the providing the landing page further comprising presenting the user specific information on the landing page; receiving a first touch input via a touchscreen of the mobile device, the first touch input indicating a selection of a category from the plurality of categories; based on the selected category, determining, using a processor of a machine, a plurality of subcategories of the selected category and a plurality of item selections within the selected category; and causing presentation of a user interface on the mobile device that presents the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. 2. The method of claim 1, wherein the user specific information comprises alerts and status for previously selected items of interest. 3. The method of claim 1, further comprising:
receiving at least one further touch input applied to the user interface that is presenting the selected category, the plurality of subcategories, and the plurality of item selections available within the selected category that causes the user interface to be adjusted; and causing the adjusted user interface to be displayed on the touchscreen of the mobile device. 4. The method of claim 3, wherein the at least one further touch input comprises a slider bar input and the causing the adjusted user interface to be displayed comprises:
reducing a number of item selections of the search result displayed on the visualization; enlarging a display of one or more image selections remaining on the visualization after the reducing; and providing additional information on the enlarged display of the one or more image selections. 5. The method of claim 3, wherein the at least one further touch input comprises a selection of a subcategory from the plurality of subcategories, the method further comprising:
refining the search result for item selections within the selected subcategory; and based on a further set of subcategories within the selected subcategory being available, presenting the further set of subcategories for user selection. 6. The method of claim 5, wherein the further set of subcategories is displayed horizontally on a text bar that includes the selected category and selected subcategory. 7. The method of claim 5, wherein the plurality of subcategories and the further set of subcategories are displayed within a plurality of text bars below a category bar, whereby each successive text bar of the plurality of text bars represents a lower subcategory within a category tree. 8. The method of claim 3, wherein the at least one further touch input comprises a selection of a slideshow button, the causing the adjusted user interface to be displayed comprising causing display of a slideshow whereby each slide is an item selection indicating the item available for purchase. 9. The method of claim 3, wherein the at least one further touch input comprises a selection of an item selection, the causing the adjusted user interface to be displayed comprising causing display of a pop-up window comprising an enlarged image of the item selection in response to the selection of the item selection. 10. The method of claim 3, wherein the at least one further touch input comprises a selection of a seller badge icon displayed in association with an item selection, the causing the adjusted user interface to be displayed comprising causing a display of seller information including a seller rating to be presented in a pop-up window in response to the selection of the seller badge. 11. The method of claim 3, wherein the at least one further touch input comprises a selection of a watch icon displayed in association with the item of interest, the method further comprising adding the item of interest to a watch list of items that the user is watching. 12. A machine-readable storage device storing instructions which, when executed by the at least one processor of a machine, causes the machine to perform operations comprising:
determining an identity of a user of a mobile device; accessing user specific information for the user based on the identity; causing presentation of a landing page having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest, the landing page displaying a plurality of categories without displaying subcategories of the plurality of categories, the providing the landing page further comprising presenting the user specific information on the landing page; receiving a first touch input via a touchscreen of the mobile device, the first touch input indicating a selection of a category from the plurality of categories; based on the selected category, determining a plurality of subcategories of the selected category and a plurality of item selections within the selected category; and causing presentation of a user interface on the mobile device that presents the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. 13. The machine-readable storage device of claim 12, wherein the operations further comprise:
receiving at least one further touch input applied to the user interface that is presenting the selected category, the plurality of subcategories, and the plurality of item selections available within the selected category that causes the user interface to be adjusted; and causing the adjusted user interface to be displayed on the touchscreen of the mobile device. 14. The machine-readable storage device of claim 13, wherein the at least one further touch input comprises a slider bar input and the causing the adjusted user interface to be displayed comprises:
reducing a number of item selections of the search result displayed on the visualization; enlarging a display of one or more image selections remaining on the visualization after the reducing; and providing additional information on the enlarged display of the one or more image selections. 15. The machine-readable storage device of claim 13, wherein the at least one further touch input comprises a selection of a subcategory from the plurality of subcategories, the operations further comprising:
refining the search result for item selections within the selected subcategory; and based on a further set of subcategories within the selected subcategory being available, presenting the further set of subcategories for user selection. 16. The machine-readable storage device of claim 15, wherein the plurality of subcategories and the further set of subcategories are displayed within a plurality of text bars below a category bar, whereby each successive text bar of the plurality of text bars represents a lower subcategory within a category tree. 17. A system comprising:
one or more hardware processors configured to perform operations comprising: determining an identity of a user of a mobile device; accessing user specific information for the user based on the identity; causing presentation of a landing webpage having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest, the landing page displaying a plurality of categories without displaying subcategories of the plurality of categories, the providing the landing page further comprising presenting the user specific information on the landing page; receiving a first touch input via a touchscreen of the mobile device, the first touch input indicating a selection of a category from the plurality of categories; based on the selected category, determining, using a processor of a machine, a plurality of subcategories of the selected category and a plurality of item selections within the selected category; and causing presentation of a user interface on the mobile device that presents the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. 18. The system of claim 17, wherein the operations further comprise:
receiving at least one further touch input applied to the user interface that is presenting the selected category, the plurality of subcategories, and the plurality of item selections available within the selected category that causes the user interface to be adjusted; and causing the adjusted user interface to be displayed on the touchscreen of the mobile device. 19. The system of claim 18, wherein the at least one further touch input comprises a selection of a slideshow button, the causing the adjusted user interface to be displayed comprising causing display of a slideshow whereby each slide is an item selection indicating the item available for purchase. 20. The system of claim 18, wherein the at least one further touch input comprises a selection of an item selection, the causing the adjusted user interface to be displayed comprising causing display of a pop-up window comprising an enlarged image of the item selection in response to the selection of the item selection. | Systems and methods for providing tablet web visual browsing are provided. In example embodiments, an identity of a user of a mobile device is determined and user specific information is accessed based on the identity. A landing page having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest is provided. The landing page displays a plurality of categories without displaying sub-categories of the plurality of categories and includes the user specific information. A first touch input that indicates a selection of a category is received from the mobile device. A plurality of subcategories of the selected category and a search result a plurality of item selections within the selected category are determined. A user interface is presented on the mobile device that displays the selected category, the plurality of subcategories, and the plurality of item selections within the selected category.1. A method comprising:
determining an identity of a user of a mobile device; accessing user specific information for the user based on the identity; causing presentation of a landing page having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest, the landing page displaying a plurality of categories without displaying subcategories of the plurality of categories, the providing the landing page further comprising presenting the user specific information on the landing page; receiving a first touch input via a touchscreen of the mobile device, the first touch input indicating a selection of a category from the plurality of categories; based on the selected category, determining, using a processor of a machine, a plurality of subcategories of the selected category and a plurality of item selections within the selected category; and causing presentation of a user interface on the mobile device that presents the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. 2. The method of claim 1, wherein the user specific information comprises alerts and status for previously selected items of interest. 3. The method of claim 1, further comprising:
receiving at least one further touch input applied to the user interface that is presenting the selected category, the plurality of subcategories, and the plurality of item selections available within the selected category that causes the user interface to be adjusted; and causing the adjusted user interface to be displayed on the touchscreen of the mobile device. 4. The method of claim 3, wherein the at least one further touch input comprises a slider bar input and the causing the adjusted user interface to be displayed comprises:
reducing a number of item selections of the search result displayed on the visualization; enlarging a display of one or more image selections remaining on the visualization after the reducing; and providing additional information on the enlarged display of the one or more image selections. 5. The method of claim 3, wherein the at least one further touch input comprises a selection of a subcategory from the plurality of subcategories, the method further comprising:
refining the search result for item selections within the selected subcategory; and based on a further set of subcategories within the selected subcategory being available, presenting the further set of subcategories for user selection. 6. The method of claim 5, wherein the further set of subcategories is displayed horizontally on a text bar that includes the selected category and selected subcategory. 7. The method of claim 5, wherein the plurality of subcategories and the further set of subcategories are displayed within a plurality of text bars below a category bar, whereby each successive text bar of the plurality of text bars represents a lower subcategory within a category tree. 8. The method of claim 3, wherein the at least one further touch input comprises a selection of a slideshow button, the causing the adjusted user interface to be displayed comprising causing display of a slideshow whereby each slide is an item selection indicating the item available for purchase. 9. The method of claim 3, wherein the at least one further touch input comprises a selection of an item selection, the causing the adjusted user interface to be displayed comprising causing display of a pop-up window comprising an enlarged image of the item selection in response to the selection of the item selection. 10. The method of claim 3, wherein the at least one further touch input comprises a selection of a seller badge icon displayed in association with an item selection, the causing the adjusted user interface to be displayed comprising causing a display of seller information including a seller rating to be presented in a pop-up window in response to the selection of the seller badge. 11. The method of claim 3, wherein the at least one further touch input comprises a selection of a watch icon displayed in association with the item of interest, the method further comprising adding the item of interest to a watch list of items that the user is watching. 12. A machine-readable storage device storing instructions which, when executed by the at least one processor of a machine, causes the machine to perform operations comprising:
determining an identity of a user of a mobile device; accessing user specific information for the user based on the identity; causing presentation of a landing page having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest, the landing page displaying a plurality of categories without displaying subcategories of the plurality of categories, the providing the landing page further comprising presenting the user specific information on the landing page; receiving a first touch input via a touchscreen of the mobile device, the first touch input indicating a selection of a category from the plurality of categories; based on the selected category, determining a plurality of subcategories of the selected category and a plurality of item selections within the selected category; and causing presentation of a user interface on the mobile device that presents the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. 13. The machine-readable storage device of claim 12, wherein the operations further comprise:
receiving at least one further touch input applied to the user interface that is presenting the selected category, the plurality of subcategories, and the plurality of item selections available within the selected category that causes the user interface to be adjusted; and causing the adjusted user interface to be displayed on the touchscreen of the mobile device. 14. The machine-readable storage device of claim 13, wherein the at least one further touch input comprises a slider bar input and the causing the adjusted user interface to be displayed comprises:
reducing a number of item selections of the search result displayed on the visualization; enlarging a display of one or more image selections remaining on the visualization after the reducing; and providing additional information on the enlarged display of the one or more image selections. 15. The machine-readable storage device of claim 13, wherein the at least one further touch input comprises a selection of a subcategory from the plurality of subcategories, the operations further comprising:
refining the search result for item selections within the selected subcategory; and based on a further set of subcategories within the selected subcategory being available, presenting the further set of subcategories for user selection. 16. The machine-readable storage device of claim 15, wherein the plurality of subcategories and the further set of subcategories are displayed within a plurality of text bars below a category bar, whereby each successive text bar of the plurality of text bars represents a lower subcategory within a category tree. 17. A system comprising:
one or more hardware processors configured to perform operations comprising: determining an identity of a user of a mobile device; accessing user specific information for the user based on the identity; causing presentation of a landing webpage having a plurality of categories from which the user at the mobile device may begin a navigation to search for an item of interest, the landing page displaying a plurality of categories without displaying subcategories of the plurality of categories, the providing the landing page further comprising presenting the user specific information on the landing page; receiving a first touch input via a touchscreen of the mobile device, the first touch input indicating a selection of a category from the plurality of categories; based on the selected category, determining, using a processor of a machine, a plurality of subcategories of the selected category and a plurality of item selections within the selected category; and causing presentation of a user interface on the mobile device that presents the selected category, the plurality of subcategories, and the plurality of item selections within the selected category. 18. The system of claim 17, wherein the operations further comprise:
receiving at least one further touch input applied to the user interface that is presenting the selected category, the plurality of subcategories, and the plurality of item selections available within the selected category that causes the user interface to be adjusted; and causing the adjusted user interface to be displayed on the touchscreen of the mobile device. 19. The system of claim 18, wherein the at least one further touch input comprises a selection of a slideshow button, the causing the adjusted user interface to be displayed comprising causing display of a slideshow whereby each slide is an item selection indicating the item available for purchase. 20. The system of claim 18, wherein the at least one further touch input comprises a selection of an item selection, the causing the adjusted user interface to be displayed comprising causing display of a pop-up window comprising an enlarged image of the item selection in response to the selection of the item selection. | 2,100 |
5,877 | 5,877 | 15,192,949 | 2,199 | Various aspects described herein are directed to a system that develops and manages releases of software applications. The system includes a server-side branch management module to automatically create one or more branches for deployment of a software application release, a deployment repository to store one or more box sets for a plurality of artifacts for the software release, and a code repository to store the plurality of artifacts. The system may further include a release management module configured to manage continuing releases of the software application, a continuous deployment dashboard module configured to receive the plurality of box sets from the deployment repository, and one or more development modules configured to create or modify at least some artifacts of the plurality of artifacts. The plurality of artifacts are automatically tagged with respective packaging types for automatic generation of the plurality of box sets. | 1. A system for implementing software development and releases, comprising:
one or more server computers connected to a plurality of client computing systems via one or more computer networks; a branch management module operatively coupled to the release management module and configured at least to automatically create one or more branches for deployment of a software application release; at least one persistent deployment repository accessible by at least the branch management module and the release management module and configured to store link structures corresponding to a plurality of artifacts for the software application release; and at least one persistent code repository accessible by at least the branch management module and the release management module and configured to store the plurality of artifacts. 2. The system of claim 1, further comprising:
a release management module hosted on at least one server computer of the one or more server computers. 3. The system of claim 2, wherein the branch management module is further configured to generate a first box set and to identify link structures corresponding to the plurality of artifacts for the software application release. 4. The system of claim 3, wherein the branch management module is further configured to generate a plurality of box sets from the first box set and to identify respective link structures corresponding to artifacts in each of the plurality of box sets based in part or in whole upon one or more integration platforms or environments for the deployment of the software application release. 5. The system of claim 4, further comprising:
a continuous deployment dashboard module configured to receive the plurality of box sets from the at least one deployment repository; and an enterprise continuous deployment module operatively coupled with the at least one persistent code repository and configured to receive the plurality of box sets based in part or in whole upon one or more acts performed by the continuous deployment dashboard module. 6. The system of claim 5, wherein the enterprise continuous deployment module is further configured to deploy the plurality of box sets to one or more enterprise services environments comprising at least one of a development environment, a quality check environment, a system environment, a Web environment, a manufacturing environment, or a performance test environment. 7. The system of claim 1, the release management module comprising at least one of:
a release builder module that is configured to generate one or more models or packages for the software application release; a package identifying module that is configured to identify the plurality of artifacts with their respective packaging types; a resource generator module that is configured to generate software resources for the software application release; a software resource processing module that is configured to process at least some of the software resources; a data access module that is configured to provide one or more common data access mechanisms to access data or information related to the software application release; or a dependency module that is configured to generate and track dependencies among at least some of the plurality of artifacts. 8. The system of claim 1, the branch management module comprising at least one of:
a snapshot module that is configured to take one or more snapshots of a state of a branch for the software application release upon an invocation of a commit command received from one or more modules operating on the branch; a data verification module that is configured to verify at least a newly created artifact or a modified artifact in the plurality of artifacts upon an invocation of the commit command received from the one or more modules operating on the branch and before storing the newly created artifact or the modified artifact in the at least one persistent code repository; a branching module that is configured to generate a project for the software application release, to create a branch with a common branch identifier, and to initiate a build process for the project with a project object model; a merge module that is configured to merge the newly created artifact or the modified artifact back into the one or more server computers; or an automatic tagging module that is configured to automatically tag at least some artifacts of the plurality artifacts with respective identifiers or package types. 9. The system of claim 1, further comprising:
one or more code development modules that are configured to reside on or to interact with the plurality of client computing systems and are operatively coupled with at least the branch management module. 10. The system of claim 9, a code development module of the one or more code development modules comprising at least one of:
a packaging identification module that is configured to associate a packaging type with the box set or a newly created artifact of the plurality of artifacts; a project object model module that is configured to generate a project and initiate a build process for the project with a project object model; an information generation and retrieval module that is configured to generate or retrieve object information and build information for the project object model; a build module that is configured to generate a build process and to perform version control, one or more code or program analyses, compilation, or interpretation for at least some artifacts of the plurality of artifacts for the build process; one or more test modules that are configured to automatically generate one or more tests and to set up one or more testing environments without relying on customizing the build process for the one or more tests; or a code hierarchy module that is configured to generate and maintain hierarchies indicating parent-child relationships among at least some artifacts of the plurality of artifacts. 11. A computer implemented method for implementing software development and releases, comprising:
one or more server computers connected to a plurality of client computing devices via one or more computer networks and comprising at least a branch management module and a release management module that are stored at least partially in memory of the one or more server computers, the one or more server performing a process, and the processing comprising: initiating a software application release for a software application at least by creating a branch, at the branch management module, for the software application release; automatically identifying a plurality of artifacts for the software application release based in part or in whole upon a plurality of packaging types associated with the plurality of artifacts; automatically packaging the plurality of artifacts into one or more box sets for deployment into one or more corresponding environments for the software application release; and deploying the one or more box sets into the one or more corresponding environments to complete the software application release. 12. The machine implemented method of claim 11, the act of initiating a software application release comprising:
identifying the branch with a common branch identifier visible to the plurality of client computing systems; generating a project for the software application release; initiating a build process for the project by using a project object model; generating a snapshot by performing a database query in response to a commit command to store a state of at least some artifacts of the plurality of artifacts; and verifying the at least some artifacts at least by performing an error detection process prior to completion of the commit command. 13. The computer implemented method of claim 12, the act of initiating a software application release comprising:
automatically creating one or more branches for the software application release in response to one or more requests from the plurality of client computing systems; and automatically tagging at least one newly created artifact of the plurality of artifacts with a packaging type. 14. The computer implemented method of claim 11, the process further comprising:
managing, at the release management module, the software application release by using at least the one or more box sets. 15. The computer implemented method of claim 14, the process further comprising:
performing a model driven deployment for the software application release at least by generating one or more release models or one or more release packages; identifying at least one artifact of the plurality of artifacts or at least one box set of the one or more box sets with a packaging type; generating software resources for the software application release; and processing, at the release management module, the software resources for the software application release. 16. The computer implemented method of claim 15, the process further comprising:
accessing, at a common data access mechanism, data or information for the software application release; and generating and tracking dependencies among at least some artifacts of the plurality of artifacts. 17. The computer implemented method of claim 11, the process further comprising:
developing, at one or more code development modules coupled to the plurality of client computing systems, the software application at least by creating one or more artifacts in the plurality of artifacts in a development environment. 18. The computer implemented method of claim 17, the process further comprising:
associating one or more packaging types with the one or more artifacts created in the development environment; generating a project for at least the one or more artifacts using a project object model; initiating a build process for the project; setting up one or more testing environments; identifying one or more tests; executing the one or more tests in the one or more testing environments; and generating and maintaining hierarchies for at least the one or more artifacts. 19. The computer implemented method of claim 11, the process further comprising:
performing software testing in one or more testing environments, comprising: identifying one or more requirements for the software application; and identifying one or more changes from a previous software application release of the software application prior to the software application release. 20. The computer implemented method of claim 19, the process further comprising:
determining a test strategy and a test plan; determining one or more tests based in whole or in part upon the test strategy and the test plan; determining a plurality of test cases and a plurality of test procedures for the one or more tests; executing the one or more tests in the one or more testing environment; analyzing results of executing the one or more tests; and fixing one or more bugs and closing the one or more tests. 21. A computer program product comprising a non-transitory machine readable storage medium having stored thereupon at least a branch management module and a release management module which, when executed by a mobile communication device, causes one or more servers to perform a set of acts for implementing software development and releases, the set of acts comprising:
one or more server computers initiating a software application release for a software application at least by creating a branch, at the branch management module, for the software application release, the one or more server computers that are connected to a plurality of client computing devices via one or more computer networks and comprise at least a branch management module and a release management module; the one or more computer servers automatically identifying a plurality of artifacts for the software application release based in part or in whole upon a plurality of packaging types associated with the plurality of artifacts; the one or more computer servers automatically packaging the plurality of artifacts into one or more box sets for deployment into one or more corresponding environments for the software application release; and the one or more computer servers deploying the one or more box sets into the one or more corresponding environments to complete the software application release. 22. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers identifying the branch with a common branch identifier visible to the plurality of client computing systems; the one or more computer servers generating a project for the software application release; the one or more computer servers initiating a build process for the project by using a project object model; the one or more computer servers generating a snapshot by performing a database query in response to a commit command to store a state of at least some artifacts of the plurality of artifacts; and the one or more computer servers verifying the at least some artifacts at least by performing an error detection process prior to completion of the commit command. 23. The computer program product of claim 22, the set of acts further comprising:
the one or more computer servers automatically creating one or more branches for the software application release in response to one or more requests from the plurality of client computing systems; and the one or more computer servers automatically tagging at least one newly created artifact of the plurality of artifacts with a packaging type. 24. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers managing, at the release management module, the software application release by using at least the one or more box sets. 25. The computer program product of claim 24, the set of acts further comprising:
the one or more computer servers performing a model driven deployment for the software application release at least by generating one or more release models or one or more release packages; the one or more computer servers identifying at least one artifact of the plurality of artifacts or at least one box set of the one or more box sets with a packaging type; the one or more computer servers generating software resources for the software application release; and the one or more computer servers processing, at the release management module, the software resources for the software application release. 26. The computer program product of claim 25, the set of acts further comprising:
the one or more computer servers accessing, at a common data access mechanism, data or information for the software application release; and the one or more computer servers generating and tracking dependencies among at least some artifacts of the plurality of artifacts. 27. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers developing, at one or more code development modules coupled to the plurality of client computing systems, the software application at least by creating one or more artifacts in the plurality of artifacts in a development environment. 28. The computer program product of claim 27, the set of acts further comprising:
the one or more computer servers associating one or more packaging types with the one or more artifacts created in the development environment; the one or more computer servers generating a project for at least the one or more artifacts using a project object model; the one or more computer servers initiating a build process for the project; the one or more computer servers setting up one or more testing environments; the one or more computer servers identifying one or more tests; the one or more computer servers executing the one or more tests in the one or more testing environments; and the one or more computer servers generating and maintaining hierarchies for at least the one or more artifacts. 29. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers performing software testing in one or more testing environments, comprising: the one or more computer servers identifying one or more requirements for the software application; and the one or more computer servers identifying one or more changes from a previous software application release of the software application prior to the software application release. 30. The computer program product of claim 29, the set of acts further comprising:
the one or more computer servers determining a test strategy and a test plan; the one or more computer servers determining one or more tests based in whole or in part upon the test strategy and the test plan; the one or more computer servers determining a plurality of test cases and a plurality of test procedures for the one or more tests; the one or more computer servers executing the one or more tests in the one or more testing environment; the one or more computer servers analyzing results of executing the one or more tests; and the one or more computer servers fixing one or more bugs and closing the one or more tests. | Various aspects described herein are directed to a system that develops and manages releases of software applications. The system includes a server-side branch management module to automatically create one or more branches for deployment of a software application release, a deployment repository to store one or more box sets for a plurality of artifacts for the software release, and a code repository to store the plurality of artifacts. The system may further include a release management module configured to manage continuing releases of the software application, a continuous deployment dashboard module configured to receive the plurality of box sets from the deployment repository, and one or more development modules configured to create or modify at least some artifacts of the plurality of artifacts. The plurality of artifacts are automatically tagged with respective packaging types for automatic generation of the plurality of box sets.1. A system for implementing software development and releases, comprising:
one or more server computers connected to a plurality of client computing systems via one or more computer networks; a branch management module operatively coupled to the release management module and configured at least to automatically create one or more branches for deployment of a software application release; at least one persistent deployment repository accessible by at least the branch management module and the release management module and configured to store link structures corresponding to a plurality of artifacts for the software application release; and at least one persistent code repository accessible by at least the branch management module and the release management module and configured to store the plurality of artifacts. 2. The system of claim 1, further comprising:
a release management module hosted on at least one server computer of the one or more server computers. 3. The system of claim 2, wherein the branch management module is further configured to generate a first box set and to identify link structures corresponding to the plurality of artifacts for the software application release. 4. The system of claim 3, wherein the branch management module is further configured to generate a plurality of box sets from the first box set and to identify respective link structures corresponding to artifacts in each of the plurality of box sets based in part or in whole upon one or more integration platforms or environments for the deployment of the software application release. 5. The system of claim 4, further comprising:
a continuous deployment dashboard module configured to receive the plurality of box sets from the at least one deployment repository; and an enterprise continuous deployment module operatively coupled with the at least one persistent code repository and configured to receive the plurality of box sets based in part or in whole upon one or more acts performed by the continuous deployment dashboard module. 6. The system of claim 5, wherein the enterprise continuous deployment module is further configured to deploy the plurality of box sets to one or more enterprise services environments comprising at least one of a development environment, a quality check environment, a system environment, a Web environment, a manufacturing environment, or a performance test environment. 7. The system of claim 1, the release management module comprising at least one of:
a release builder module that is configured to generate one or more models or packages for the software application release; a package identifying module that is configured to identify the plurality of artifacts with their respective packaging types; a resource generator module that is configured to generate software resources for the software application release; a software resource processing module that is configured to process at least some of the software resources; a data access module that is configured to provide one or more common data access mechanisms to access data or information related to the software application release; or a dependency module that is configured to generate and track dependencies among at least some of the plurality of artifacts. 8. The system of claim 1, the branch management module comprising at least one of:
a snapshot module that is configured to take one or more snapshots of a state of a branch for the software application release upon an invocation of a commit command received from one or more modules operating on the branch; a data verification module that is configured to verify at least a newly created artifact or a modified artifact in the plurality of artifacts upon an invocation of the commit command received from the one or more modules operating on the branch and before storing the newly created artifact or the modified artifact in the at least one persistent code repository; a branching module that is configured to generate a project for the software application release, to create a branch with a common branch identifier, and to initiate a build process for the project with a project object model; a merge module that is configured to merge the newly created artifact or the modified artifact back into the one or more server computers; or an automatic tagging module that is configured to automatically tag at least some artifacts of the plurality artifacts with respective identifiers or package types. 9. The system of claim 1, further comprising:
one or more code development modules that are configured to reside on or to interact with the plurality of client computing systems and are operatively coupled with at least the branch management module. 10. The system of claim 9, a code development module of the one or more code development modules comprising at least one of:
a packaging identification module that is configured to associate a packaging type with the box set or a newly created artifact of the plurality of artifacts; a project object model module that is configured to generate a project and initiate a build process for the project with a project object model; an information generation and retrieval module that is configured to generate or retrieve object information and build information for the project object model; a build module that is configured to generate a build process and to perform version control, one or more code or program analyses, compilation, or interpretation for at least some artifacts of the plurality of artifacts for the build process; one or more test modules that are configured to automatically generate one or more tests and to set up one or more testing environments without relying on customizing the build process for the one or more tests; or a code hierarchy module that is configured to generate and maintain hierarchies indicating parent-child relationships among at least some artifacts of the plurality of artifacts. 11. A computer implemented method for implementing software development and releases, comprising:
one or more server computers connected to a plurality of client computing devices via one or more computer networks and comprising at least a branch management module and a release management module that are stored at least partially in memory of the one or more server computers, the one or more server performing a process, and the processing comprising: initiating a software application release for a software application at least by creating a branch, at the branch management module, for the software application release; automatically identifying a plurality of artifacts for the software application release based in part or in whole upon a plurality of packaging types associated with the plurality of artifacts; automatically packaging the plurality of artifacts into one or more box sets for deployment into one or more corresponding environments for the software application release; and deploying the one or more box sets into the one or more corresponding environments to complete the software application release. 12. The machine implemented method of claim 11, the act of initiating a software application release comprising:
identifying the branch with a common branch identifier visible to the plurality of client computing systems; generating a project for the software application release; initiating a build process for the project by using a project object model; generating a snapshot by performing a database query in response to a commit command to store a state of at least some artifacts of the plurality of artifacts; and verifying the at least some artifacts at least by performing an error detection process prior to completion of the commit command. 13. The computer implemented method of claim 12, the act of initiating a software application release comprising:
automatically creating one or more branches for the software application release in response to one or more requests from the plurality of client computing systems; and automatically tagging at least one newly created artifact of the plurality of artifacts with a packaging type. 14. The computer implemented method of claim 11, the process further comprising:
managing, at the release management module, the software application release by using at least the one or more box sets. 15. The computer implemented method of claim 14, the process further comprising:
performing a model driven deployment for the software application release at least by generating one or more release models or one or more release packages; identifying at least one artifact of the plurality of artifacts or at least one box set of the one or more box sets with a packaging type; generating software resources for the software application release; and processing, at the release management module, the software resources for the software application release. 16. The computer implemented method of claim 15, the process further comprising:
accessing, at a common data access mechanism, data or information for the software application release; and generating and tracking dependencies among at least some artifacts of the plurality of artifacts. 17. The computer implemented method of claim 11, the process further comprising:
developing, at one or more code development modules coupled to the plurality of client computing systems, the software application at least by creating one or more artifacts in the plurality of artifacts in a development environment. 18. The computer implemented method of claim 17, the process further comprising:
associating one or more packaging types with the one or more artifacts created in the development environment; generating a project for at least the one or more artifacts using a project object model; initiating a build process for the project; setting up one or more testing environments; identifying one or more tests; executing the one or more tests in the one or more testing environments; and generating and maintaining hierarchies for at least the one or more artifacts. 19. The computer implemented method of claim 11, the process further comprising:
performing software testing in one or more testing environments, comprising: identifying one or more requirements for the software application; and identifying one or more changes from a previous software application release of the software application prior to the software application release. 20. The computer implemented method of claim 19, the process further comprising:
determining a test strategy and a test plan; determining one or more tests based in whole or in part upon the test strategy and the test plan; determining a plurality of test cases and a plurality of test procedures for the one or more tests; executing the one or more tests in the one or more testing environment; analyzing results of executing the one or more tests; and fixing one or more bugs and closing the one or more tests. 21. A computer program product comprising a non-transitory machine readable storage medium having stored thereupon at least a branch management module and a release management module which, when executed by a mobile communication device, causes one or more servers to perform a set of acts for implementing software development and releases, the set of acts comprising:
one or more server computers initiating a software application release for a software application at least by creating a branch, at the branch management module, for the software application release, the one or more server computers that are connected to a plurality of client computing devices via one or more computer networks and comprise at least a branch management module and a release management module; the one or more computer servers automatically identifying a plurality of artifacts for the software application release based in part or in whole upon a plurality of packaging types associated with the plurality of artifacts; the one or more computer servers automatically packaging the plurality of artifacts into one or more box sets for deployment into one or more corresponding environments for the software application release; and the one or more computer servers deploying the one or more box sets into the one or more corresponding environments to complete the software application release. 22. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers identifying the branch with a common branch identifier visible to the plurality of client computing systems; the one or more computer servers generating a project for the software application release; the one or more computer servers initiating a build process for the project by using a project object model; the one or more computer servers generating a snapshot by performing a database query in response to a commit command to store a state of at least some artifacts of the plurality of artifacts; and the one or more computer servers verifying the at least some artifacts at least by performing an error detection process prior to completion of the commit command. 23. The computer program product of claim 22, the set of acts further comprising:
the one or more computer servers automatically creating one or more branches for the software application release in response to one or more requests from the plurality of client computing systems; and the one or more computer servers automatically tagging at least one newly created artifact of the plurality of artifacts with a packaging type. 24. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers managing, at the release management module, the software application release by using at least the one or more box sets. 25. The computer program product of claim 24, the set of acts further comprising:
the one or more computer servers performing a model driven deployment for the software application release at least by generating one or more release models or one or more release packages; the one or more computer servers identifying at least one artifact of the plurality of artifacts or at least one box set of the one or more box sets with a packaging type; the one or more computer servers generating software resources for the software application release; and the one or more computer servers processing, at the release management module, the software resources for the software application release. 26. The computer program product of claim 25, the set of acts further comprising:
the one or more computer servers accessing, at a common data access mechanism, data or information for the software application release; and the one or more computer servers generating and tracking dependencies among at least some artifacts of the plurality of artifacts. 27. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers developing, at one or more code development modules coupled to the plurality of client computing systems, the software application at least by creating one or more artifacts in the plurality of artifacts in a development environment. 28. The computer program product of claim 27, the set of acts further comprising:
the one or more computer servers associating one or more packaging types with the one or more artifacts created in the development environment; the one or more computer servers generating a project for at least the one or more artifacts using a project object model; the one or more computer servers initiating a build process for the project; the one or more computer servers setting up one or more testing environments; the one or more computer servers identifying one or more tests; the one or more computer servers executing the one or more tests in the one or more testing environments; and the one or more computer servers generating and maintaining hierarchies for at least the one or more artifacts. 29. The computer program product of claim 21, the set of acts further comprising:
the one or more computer servers performing software testing in one or more testing environments, comprising: the one or more computer servers identifying one or more requirements for the software application; and the one or more computer servers identifying one or more changes from a previous software application release of the software application prior to the software application release. 30. The computer program product of claim 29, the set of acts further comprising:
the one or more computer servers determining a test strategy and a test plan; the one or more computer servers determining one or more tests based in whole or in part upon the test strategy and the test plan; the one or more computer servers determining a plurality of test cases and a plurality of test procedures for the one or more tests; the one or more computer servers executing the one or more tests in the one or more testing environment; the one or more computer servers analyzing results of executing the one or more tests; and the one or more computer servers fixing one or more bugs and closing the one or more tests. | 2,100 |
5,878 | 5,878 | 15,638,094 | 2,178 | A system and method for automated customization are disclosed herein. The system includes a content distribution network formed of a content network, an end-user network, and one or several customization networks. The end-user network includes a local data server and an end-user server. The end-user server can be programmed to receive a document, identify one or several customizations for insertion into that document; identify one or several insertion points designated to receive the one or several customizations, and to insert the one or several customizations into the designated one or several insertion points. | 1. A method of injecting content into a document comprising:
identifying a presence of at least one insertion point within a document; identifying a customization comprising a metadata file, a customization name, and a customization file comprising a page fragment for insertion into the document; determining a customization location from a parsing of the customization name, wherein determining the customization location comprises:
identifying a designated insertion point for the customization; and
identifying a destination location at which the customization appears to a user accessing the document in displayed digital content, wherein the destination location is not at the insertion point; and
digitally outputting the document including the customization to a user. 2. The method of claim 1, wherein identifying the presence of the at least one insertion point within the document comprises: receiving data identifying one or several indicators of an insertion point; and searching the document for indicators of the insertion point. 3. The method of claim 2, wherein the document is searched for indicators of the insertion point with a search engine. 4. The method of claim 1, further comprising inserting the customization into the document at the insertion point. 5. The method of claim 1, wherein digitally outputting the document including the customization to the user includes directing the display of the document including the customization at the destination location to the user via a user device. 6. The method of claim 1, wherein receiving data identifying one or several indicators of the insertion point comprises receiving an electrical signal containing information identifying coding creating the insertion point, wherein the electrical signal is received at an end-user server of an end-user network from a content network. 7. The method of claim 6, further comprising searching for the customization, wherein searching for the customization comprises retrieving data identifying a plurality of customization repositories, wherein at least one of the customization repositories is part of the end-user network and at least one of the customization repositories is outside of the end-user network but communicatively connected with the end-user network. 8. The method of claim 7, wherein searching for the customization comprises:
retrieving customization rules, wherein the customization rules identify categories of customizations applicable to the document; and generating and sending a customization request, wherein generating and sending a customization request comprises generating a portion of a customization name according to a naming convention, wherein the portion of the customization name identifies customization for the document. 9. The method of claim 8, wherein generating a portion of the customization name comprises:
retrieving a naming convention from a convention database; retrieving information relating to the document for use in generating the portion of the customization name; and applying the naming convention to the information for use in generating the portion of the customization name to generate the portion of the customization name. 10. The method of claim 9, wherein the destination location is within the insertion point. 11. The method of claim 9, wherein the destination location is outside of the insertion point. 12. An end-user system comprising:
a plurality of user devices each configured to display a document to a user; a local data server comprising a plurality of databases comprising:
a post database, wherein the post database contains the document that is displayed to a user via at least one of the user devices; and
a customization database comprising a customization including a customization file comprising a page fragment for insertion into the document and a metadata file; and
at least one server configured to:
identify a presence of at least one insertion point within the document;
identify the customization from the customization database, wherein the customization has a customization name;
determine a customization location from a parsing of the customization name, wherein determining the customization location comprises:
identifying a designated insertion point for the customization; and
identifying a destination location at which the customization appears to a user accessing the document, wherein the destination location is not at the insertion point; and
digitally output the document including the customization to at least one of the user devices. 13. The system of claim 12, wherein identifying the presence of the at least one insertion point within the document comprises: receiving data identifying one or several indicators of an insertion point; and searching the document for indicators of the insertion point. 14. The system of claim 12, further comprising inserting the customization into the document at the insertion point. 15. The system of claim 12, wherein digitally outputting the document including the customization to the user includes directing the display of the document including the customization at the destination location to the user via a user device 16. The system of claim 12, wherein receiving data identifying one or several indicators of the insertion point comprises receiving an electrical signal containing information identifying coding creating the insertion point, wherein the electrical signal is received at the at least one server from a content network. 17. The system of claim 16, wherein the at least one server is further configured to search for the customization, wherein searching for the customization comprises retrieving data identifying a plurality of customization repositories, wherein at least one of the customization repositories is outside of the local data server. 18. The system of claim 17, wherein searching for the customization comprises:
retrieving customization rules identifying categories of customizations applicable to the document; and generating and sending a customization request, wherein generating and sending a customization request comprises generating a portion of a customization name according to a naming convention, wherein the portion of the customization name identifies customization for the document. 19. The system of claim 18, wherein generating a portion of the customization name comprises:
retrieving a naming convention; retrieving information relating to the document for use in generating the portion of the customization name; and applying the naming convention to the information for use in generating the portion of the customization name to generate the portion of the customization name. | A system and method for automated customization are disclosed herein. The system includes a content distribution network formed of a content network, an end-user network, and one or several customization networks. The end-user network includes a local data server and an end-user server. The end-user server can be programmed to receive a document, identify one or several customizations for insertion into that document; identify one or several insertion points designated to receive the one or several customizations, and to insert the one or several customizations into the designated one or several insertion points.1. A method of injecting content into a document comprising:
identifying a presence of at least one insertion point within a document; identifying a customization comprising a metadata file, a customization name, and a customization file comprising a page fragment for insertion into the document; determining a customization location from a parsing of the customization name, wherein determining the customization location comprises:
identifying a designated insertion point for the customization; and
identifying a destination location at which the customization appears to a user accessing the document in displayed digital content, wherein the destination location is not at the insertion point; and
digitally outputting the document including the customization to a user. 2. The method of claim 1, wherein identifying the presence of the at least one insertion point within the document comprises: receiving data identifying one or several indicators of an insertion point; and searching the document for indicators of the insertion point. 3. The method of claim 2, wherein the document is searched for indicators of the insertion point with a search engine. 4. The method of claim 1, further comprising inserting the customization into the document at the insertion point. 5. The method of claim 1, wherein digitally outputting the document including the customization to the user includes directing the display of the document including the customization at the destination location to the user via a user device. 6. The method of claim 1, wherein receiving data identifying one or several indicators of the insertion point comprises receiving an electrical signal containing information identifying coding creating the insertion point, wherein the electrical signal is received at an end-user server of an end-user network from a content network. 7. The method of claim 6, further comprising searching for the customization, wherein searching for the customization comprises retrieving data identifying a plurality of customization repositories, wherein at least one of the customization repositories is part of the end-user network and at least one of the customization repositories is outside of the end-user network but communicatively connected with the end-user network. 8. The method of claim 7, wherein searching for the customization comprises:
retrieving customization rules, wherein the customization rules identify categories of customizations applicable to the document; and generating and sending a customization request, wherein generating and sending a customization request comprises generating a portion of a customization name according to a naming convention, wherein the portion of the customization name identifies customization for the document. 9. The method of claim 8, wherein generating a portion of the customization name comprises:
retrieving a naming convention from a convention database; retrieving information relating to the document for use in generating the portion of the customization name; and applying the naming convention to the information for use in generating the portion of the customization name to generate the portion of the customization name. 10. The method of claim 9, wherein the destination location is within the insertion point. 11. The method of claim 9, wherein the destination location is outside of the insertion point. 12. An end-user system comprising:
a plurality of user devices each configured to display a document to a user; a local data server comprising a plurality of databases comprising:
a post database, wherein the post database contains the document that is displayed to a user via at least one of the user devices; and
a customization database comprising a customization including a customization file comprising a page fragment for insertion into the document and a metadata file; and
at least one server configured to:
identify a presence of at least one insertion point within the document;
identify the customization from the customization database, wherein the customization has a customization name;
determine a customization location from a parsing of the customization name, wherein determining the customization location comprises:
identifying a designated insertion point for the customization; and
identifying a destination location at which the customization appears to a user accessing the document, wherein the destination location is not at the insertion point; and
digitally output the document including the customization to at least one of the user devices. 13. The system of claim 12, wherein identifying the presence of the at least one insertion point within the document comprises: receiving data identifying one or several indicators of an insertion point; and searching the document for indicators of the insertion point. 14. The system of claim 12, further comprising inserting the customization into the document at the insertion point. 15. The system of claim 12, wherein digitally outputting the document including the customization to the user includes directing the display of the document including the customization at the destination location to the user via a user device 16. The system of claim 12, wherein receiving data identifying one or several indicators of the insertion point comprises receiving an electrical signal containing information identifying coding creating the insertion point, wherein the electrical signal is received at the at least one server from a content network. 17. The system of claim 16, wherein the at least one server is further configured to search for the customization, wherein searching for the customization comprises retrieving data identifying a plurality of customization repositories, wherein at least one of the customization repositories is outside of the local data server. 18. The system of claim 17, wherein searching for the customization comprises:
retrieving customization rules identifying categories of customizations applicable to the document; and generating and sending a customization request, wherein generating and sending a customization request comprises generating a portion of a customization name according to a naming convention, wherein the portion of the customization name identifies customization for the document. 19. The system of claim 18, wherein generating a portion of the customization name comprises:
retrieving a naming convention; retrieving information relating to the document for use in generating the portion of the customization name; and applying the naming convention to the information for use in generating the portion of the customization name to generate the portion of the customization name. | 2,100 |
5,879 | 5,879 | 15,008,724 | 2,132 | One or more techniques and/or computing devices are provided for resilient replication of storage operations. For example, a first storage controller may host first storage having a replication relationship with second storage hosted by a second storage controller. To improve resiliency against transient network issues of a network between the storage controllers, the first storage controller may implement a queue and retry mechanism to retry replication operations not acknowledge back by the second storage controller within a threshold time. The second storage controller may maintain a cumulative sequence number of a latest replication operation performed in order, an operation response map of replication operations performed out of order, and an operation finder map identifying currently implemented replication operations, which may be used to process incoming replication operations. Single write semantics, write order consistency, and reduction of write amplification may be provided. | 1. A method comprising:
receiving, by a second storage controller, a replication operation from a first storage controller, the replication operation corresponding to a replication of a storage operation received by the first storage controller for implementation upon first storage associated with the first storage controller, the replication operation targeting second storage, associated with the second storage controller, based upon a replication relationship between the first storage and the second storage; responsive to a sequence number, assigned to the replication operation, being less than or equal to a cumulative sequence number, terminating the replication operation and responding to the first storage controller that replication operation implementation for the sequence number succeeded; and responsive to the sequence number exceeding the cumulative sequence number:
responsive to the sequence number being specified within an operation response map, terminating the replication operation and responding to the first storage controller that replication operation implementation for the sequence number succeeded; and
responsive to the sequence number not being specified within the operation response map:
responsive to the sequence number being associated with an entry within an operation finder map, adding a context of the replication operation to the entry; and
responsive to the sequence number not being associated with at least one entry within the operation finder map, adding a new entry of the sequence number into the operation finder map and implementing the replication operation upon the second storage. 2. The method of claim 1, wherein the cumulative sequence number corresponds to a latest replication operation implemented in sequence by the second storage controller. 3. The method of claim 1, wherein the operation response map corresponds to replication operations implemented by the second storage controller out of sequence with respect to the cumulative sequence number. 4. The method of claim 1, wherein the operation finder map corresponds to replication operations currently being implemented by the second storage controller. 5. The method of claim 1, comprising:
utilizing the cumulative sequence number, the operation response map, and the operation finder map to enforce a single write semantic for the second storage. 6. The method of claim 1, comprising:
utilizing the cumulative sequence number to enforce a write order consistency for replication operations. 7. The method of claim 1, comprising:
responsive to the sequence number being less than or equal to the cumulative sequence number, determining that the replication operation is a retry operation, by the first storage controller, of an original replication operation already implemented by the second storage controller in sequential order. 8. The method of claim 1, comprising:
responsive to the sequence number being specified within the operation response map, determining that the replication operation is a retry operation, by the first storage controller, of an original replication operation already implemented by the second storage controller out of sequence with respect to the cumulative sequence number. 9. The method of claim 1, comprising:
responsive to the sequence number being associated with the entry within the operation finder map, determining that the replication operation is a retry operation, by the first storage controller, of an original replication operation currently being implemented by the second storage controller. 10. The method of claim 1, wherein the context specifies that the replication operation is a retry operation, by the first storage controller, of an original replication operation currently being implemented by the second storage controller, and method comprising:
responsive to the original replication operation completing, responding to the first storage controller that replication operation implementation, corresponding to the replication operation and the original replication operation, for the sequence number succeeded; and removing the entry from the operation finder map. 11. The method of claim 1, comprising:
determining that a current replication operation was completed by the second storage controller upon the second storage; and responsive to a current sequence number of the current replication operation being next in sequence to the cumulative sequence number, incrementing the cumulative sequence number. 12. The method of claim 1, comprising:
determining that a current replication operation was completed by the second storage controller upon the second storage; and responsive to a current sequence number of the current replication operation not being next in sequence to the cumulative sequence number, adding the current sequence number to the operation response map. 13. The method of claim 1, comprising:
identifying a gap between a latest sequentially processed sequence number, of a latest in-order processed replication operation by the second storage controller, and a maximum sequence number of replication operations processed by the second storage controller. 14. The method of claim 13, comprising:
identifying a memory footprint utilized for replication operations based upon the gap. 15. The method of claim 13, comprising:
adjusting resources, provisioned for implementing replication operations, based upon the gap. 16. The method of claim 13, comprising:
responsive to the gap exceeding a threshold, implementing a cleanup action or performing erroring handling. 17. A non-transitory machine readable medium having stored thereon instructions for performing a method comprising machine executable code which when executed by at least one machine, causes the machine to:
maintain a queue for pending storage operations that are to be locally implemented by a first storage controller upon first storage and remotely replicated to a second storage controller for implementation upon second storage based upon a replication relationship between the first storage and the second storage; receive a storage operation from a client; assign a sequence number to the storage operation; insert the sequence number into the queue; generate a replication operation based upon the storage operation; assign the sequence number to the replication operation; send the replication operation to the second storage controller for remote implementation upon the second storage; start a retry timer for the replication operation; and responsive to the retry timer timing out before an acknowledgment is received from the second storage controller that the replication operation succeeded, send a retry operation, assigned to the sequence number, of the replication operation to the second storage controller. 18. The non-transitory machine readable medium of claim 17, wherein the machine executable code causes the machine to:
utilize a reference, to data associated with the storage operation, to associate the data with the replication operation utilizing a non-copy operation. 19. The non-transitory machine readable medium of claim 17, wherein the machine executable code causes the machine to:
start a protocol timer for the replication operation; and responsive to the protocol timer timing out before a success acknowledgement is received from the second storage controller for the sequence number, respond with a failure message to the client that sent the storage operation to the first storage controller. 20. A computing device comprising:
a memory containing machine readable medium comprising machine executable code having stored thereon instructions for performing a method of resilient replication of storage operations; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to:
receive a replication operation from a first storage controller;
evaluate a sequence number, assigned to the replication operation, against a cumulative sequence number, an operation finder map, and an operation finder map to determine whether the replication operation is a retry replication operation;
responsive to the replication operation being the retry replication operation associated with an already completed replication operation, terminate the replication operation and respond to the first storage controller that replication operation implementation for the sequence number succeeded;
responsive to the replication operation being the retry replication operation associated with a currently processed replication operation, add a context of the replication operation to an entry, within the operation finder map, for the currently processed replication operation; and
responsive to the replication operation not being the retry replication operation, add a new entry of the sequence number into the operation finder map and implement the replication operation upon the second storage. | One or more techniques and/or computing devices are provided for resilient replication of storage operations. For example, a first storage controller may host first storage having a replication relationship with second storage hosted by a second storage controller. To improve resiliency against transient network issues of a network between the storage controllers, the first storage controller may implement a queue and retry mechanism to retry replication operations not acknowledge back by the second storage controller within a threshold time. The second storage controller may maintain a cumulative sequence number of a latest replication operation performed in order, an operation response map of replication operations performed out of order, and an operation finder map identifying currently implemented replication operations, which may be used to process incoming replication operations. Single write semantics, write order consistency, and reduction of write amplification may be provided.1. A method comprising:
receiving, by a second storage controller, a replication operation from a first storage controller, the replication operation corresponding to a replication of a storage operation received by the first storage controller for implementation upon first storage associated with the first storage controller, the replication operation targeting second storage, associated with the second storage controller, based upon a replication relationship between the first storage and the second storage; responsive to a sequence number, assigned to the replication operation, being less than or equal to a cumulative sequence number, terminating the replication operation and responding to the first storage controller that replication operation implementation for the sequence number succeeded; and responsive to the sequence number exceeding the cumulative sequence number:
responsive to the sequence number being specified within an operation response map, terminating the replication operation and responding to the first storage controller that replication operation implementation for the sequence number succeeded; and
responsive to the sequence number not being specified within the operation response map:
responsive to the sequence number being associated with an entry within an operation finder map, adding a context of the replication operation to the entry; and
responsive to the sequence number not being associated with at least one entry within the operation finder map, adding a new entry of the sequence number into the operation finder map and implementing the replication operation upon the second storage. 2. The method of claim 1, wherein the cumulative sequence number corresponds to a latest replication operation implemented in sequence by the second storage controller. 3. The method of claim 1, wherein the operation response map corresponds to replication operations implemented by the second storage controller out of sequence with respect to the cumulative sequence number. 4. The method of claim 1, wherein the operation finder map corresponds to replication operations currently being implemented by the second storage controller. 5. The method of claim 1, comprising:
utilizing the cumulative sequence number, the operation response map, and the operation finder map to enforce a single write semantic for the second storage. 6. The method of claim 1, comprising:
utilizing the cumulative sequence number to enforce a write order consistency for replication operations. 7. The method of claim 1, comprising:
responsive to the sequence number being less than or equal to the cumulative sequence number, determining that the replication operation is a retry operation, by the first storage controller, of an original replication operation already implemented by the second storage controller in sequential order. 8. The method of claim 1, comprising:
responsive to the sequence number being specified within the operation response map, determining that the replication operation is a retry operation, by the first storage controller, of an original replication operation already implemented by the second storage controller out of sequence with respect to the cumulative sequence number. 9. The method of claim 1, comprising:
responsive to the sequence number being associated with the entry within the operation finder map, determining that the replication operation is a retry operation, by the first storage controller, of an original replication operation currently being implemented by the second storage controller. 10. The method of claim 1, wherein the context specifies that the replication operation is a retry operation, by the first storage controller, of an original replication operation currently being implemented by the second storage controller, and method comprising:
responsive to the original replication operation completing, responding to the first storage controller that replication operation implementation, corresponding to the replication operation and the original replication operation, for the sequence number succeeded; and removing the entry from the operation finder map. 11. The method of claim 1, comprising:
determining that a current replication operation was completed by the second storage controller upon the second storage; and responsive to a current sequence number of the current replication operation being next in sequence to the cumulative sequence number, incrementing the cumulative sequence number. 12. The method of claim 1, comprising:
determining that a current replication operation was completed by the second storage controller upon the second storage; and responsive to a current sequence number of the current replication operation not being next in sequence to the cumulative sequence number, adding the current sequence number to the operation response map. 13. The method of claim 1, comprising:
identifying a gap between a latest sequentially processed sequence number, of a latest in-order processed replication operation by the second storage controller, and a maximum sequence number of replication operations processed by the second storage controller. 14. The method of claim 13, comprising:
identifying a memory footprint utilized for replication operations based upon the gap. 15. The method of claim 13, comprising:
adjusting resources, provisioned for implementing replication operations, based upon the gap. 16. The method of claim 13, comprising:
responsive to the gap exceeding a threshold, implementing a cleanup action or performing erroring handling. 17. A non-transitory machine readable medium having stored thereon instructions for performing a method comprising machine executable code which when executed by at least one machine, causes the machine to:
maintain a queue for pending storage operations that are to be locally implemented by a first storage controller upon first storage and remotely replicated to a second storage controller for implementation upon second storage based upon a replication relationship between the first storage and the second storage; receive a storage operation from a client; assign a sequence number to the storage operation; insert the sequence number into the queue; generate a replication operation based upon the storage operation; assign the sequence number to the replication operation; send the replication operation to the second storage controller for remote implementation upon the second storage; start a retry timer for the replication operation; and responsive to the retry timer timing out before an acknowledgment is received from the second storage controller that the replication operation succeeded, send a retry operation, assigned to the sequence number, of the replication operation to the second storage controller. 18. The non-transitory machine readable medium of claim 17, wherein the machine executable code causes the machine to:
utilize a reference, to data associated with the storage operation, to associate the data with the replication operation utilizing a non-copy operation. 19. The non-transitory machine readable medium of claim 17, wherein the machine executable code causes the machine to:
start a protocol timer for the replication operation; and responsive to the protocol timer timing out before a success acknowledgement is received from the second storage controller for the sequence number, respond with a failure message to the client that sent the storage operation to the first storage controller. 20. A computing device comprising:
a memory containing machine readable medium comprising machine executable code having stored thereon instructions for performing a method of resilient replication of storage operations; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to:
receive a replication operation from a first storage controller;
evaluate a sequence number, assigned to the replication operation, against a cumulative sequence number, an operation finder map, and an operation finder map to determine whether the replication operation is a retry replication operation;
responsive to the replication operation being the retry replication operation associated with an already completed replication operation, terminate the replication operation and respond to the first storage controller that replication operation implementation for the sequence number succeeded;
responsive to the replication operation being the retry replication operation associated with a currently processed replication operation, add a context of the replication operation to an entry, within the operation finder map, for the currently processed replication operation; and
responsive to the replication operation not being the retry replication operation, add a new entry of the sequence number into the operation finder map and implement the replication operation upon the second storage. | 2,100 |
5,880 | 5,880 | 14,085,908 | 2,168 | At least one of the embodiments described herein relate generally to a method of communicating between a first repository and a second repository. The method can be performed at a second repository, and may include the acts of: identifying a content object stored in the first repository; identifying metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieving the metadata from the first repository; and storing a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. | 1. A method of communicating between a first repository and a second repository, the method to be performed at a second repository, the method comprising:
identifying a content object stored in the first repository; identifying metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieving the metadata from the first repository; and storing a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. 2. The method of claim 1, wherein the interface comprises an Application Programming Interface (API) provided by the first repository. 3. The method of claim 2, wherein the API comprises a retrieval API that allows the harvested content object stored at the second repository to link to the newest version of the content object stored in the first repository, when accessed. 4. The method of claim 2, wherein when the API comprises a usage data API that, when accessed by the second repository, allows the second repository to communicate usage data about the harvested content object, as generated at the second repository, to the first repository. 5. The method of claim 4, wherein the usage data comprises at least one of: reviews about the harvested content object, feedback for the harvested content object, a ratings value for the harvested content object, and a times accessed value for the harvested content object. 6. The method of claim 4, wherein the usage data comprises at least one of: information indicating an instructor using the harvested content object; information about a student who is able to access the harvested content object; information indicating a course using the harvested content object; and information indicating an institution using the harvested content object. 7. The method of claim 4, further comprising:
providing the harvested content object to a third repository;
wherein, when the usage data API is accessed by the third repository, the third repository communicates usage data about the harvested content object, as generated at the third repository, to the first repository. 8. The method of claim 1, wherein the retrieving of the metadata from the first repository is performed using a modified version of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol, the modified version comprising an Extensible Markup Language (XML) schema that extends metadata items provided in the OAI-PMH protocol to include the link to the interface associated with the content object. 9. A computer-readable medium storing instructions for enabling communication between a first repository and a second repository, wherein when the instructions are executed by a processor of a server hosting a second repository, the processor is configured to:
identify a content object stored in the first repository; identify metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieve the metadata from the first repository; and store a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. 10. A server comprising:
a memory that is configured to store instructions for hosting a second repository that communicates with a first repository; and a processor that is coupled to the memory, the processor being configured to execute the instructions; identify a content object stored in the first repository; identify metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieve the metadata from the first repository; and store a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. 11. The server of claim 10, wherein the interface comprises an Application Programming Interface (API) provided by the first repository. 12. The server of claim 11, wherein the API comprises a retrieval API that allows the harvested content object stored at the second repository to link to the newest version of the content object stored in the first repository, when accessed. 13. The server of claim 11, wherein when the API comprises a usage data API that, when accessed by the second repository, allows the second repository to communicate usage data about the harvested content object, as generated at the second repository, to the first repository. 14. The server of claim 13, wherein the usage data comprises at least one of: reviews about the harvested content object, feedback for the harvested content object, a ratings value for the harvested content object, and a times accessed value for the harvested content object. 15. The server of claim 13, wherein the usage data comprises at least one of: information indicating an instructor using the harvested content object; information about a student who is able to access the harvested content object; information indicating a course using the harvested content object; and information indicating an institution using the harvested content object. 16. The server of claim 10, wherein the processor is further configured to:
provide the harvested content object to a third repository; wherein, when the usage data API is accessed by the third repository, the third repository communicates usage data about the harvested content object, as generated at the third repository, to the first repository. 17. The server of claim 10, wherein the retrieving the metadata from the first repository is performed using a modified version of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol, the modified version comprising an Extensible Markup Language (XML) schema that extends metadata items provided in the OAI-PMH protocol to include the link to the interface associated with the content object. 18. A method of communicating between a first repository and a second repository, the method to be performed at the first repository, the method comprising:
providing a content object at the first repository; providing metadata for the content object at the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; and transmitting the metadata to a second repository, wherein the second repository stores a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to allow the first repository to receive information related to the harvested content object from the second repository or another repository. 19. The method of claim 18, wherein the interface comprises an Application Programming Interface (API) provided by the first repository. 20. The method of claim 19, wherein the API comprises a retrieval API that allows the harvested content object stored at the second repository to link to the newest version of the content object stored on in the first repository, when accessed. 21. The method of claim 19, wherein the API comprises a usage data API, and when the usage data API is accessed, the method further comprises:
receiving usage data about the harvested content object from another repository; and updating usage information for the content object corresponding to the harvested content object with the received usage data. 22. The method of claim 21, wherein the usage data is generated at, and received from, the second repository. 23. The method of claim 21, wherein the usage data is generated at, and received from, a third repository, the third repository having retrieved the harvested content object from the second repository. 24. The method of claim 18, wherein the transmitting of the metadata to the second repository is performed using a modified version of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol, the modified version comprising an Extensible Markup Language (XML) schema that extends metadata items provided in the OAI-PMH protocol to include the link to the interface associated with the content object. | At least one of the embodiments described herein relate generally to a method of communicating between a first repository and a second repository. The method can be performed at a second repository, and may include the acts of: identifying a content object stored in the first repository; identifying metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieving the metadata from the first repository; and storing a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository.1. A method of communicating between a first repository and a second repository, the method to be performed at a second repository, the method comprising:
identifying a content object stored in the first repository; identifying metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieving the metadata from the first repository; and storing a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. 2. The method of claim 1, wherein the interface comprises an Application Programming Interface (API) provided by the first repository. 3. The method of claim 2, wherein the API comprises a retrieval API that allows the harvested content object stored at the second repository to link to the newest version of the content object stored in the first repository, when accessed. 4. The method of claim 2, wherein when the API comprises a usage data API that, when accessed by the second repository, allows the second repository to communicate usage data about the harvested content object, as generated at the second repository, to the first repository. 5. The method of claim 4, wherein the usage data comprises at least one of: reviews about the harvested content object, feedback for the harvested content object, a ratings value for the harvested content object, and a times accessed value for the harvested content object. 6. The method of claim 4, wherein the usage data comprises at least one of: information indicating an instructor using the harvested content object; information about a student who is able to access the harvested content object; information indicating a course using the harvested content object; and information indicating an institution using the harvested content object. 7. The method of claim 4, further comprising:
providing the harvested content object to a third repository;
wherein, when the usage data API is accessed by the third repository, the third repository communicates usage data about the harvested content object, as generated at the third repository, to the first repository. 8. The method of claim 1, wherein the retrieving of the metadata from the first repository is performed using a modified version of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol, the modified version comprising an Extensible Markup Language (XML) schema that extends metadata items provided in the OAI-PMH protocol to include the link to the interface associated with the content object. 9. A computer-readable medium storing instructions for enabling communication between a first repository and a second repository, wherein when the instructions are executed by a processor of a server hosting a second repository, the processor is configured to:
identify a content object stored in the first repository; identify metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieve the metadata from the first repository; and store a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. 10. A server comprising:
a memory that is configured to store instructions for hosting a second repository that communicates with a first repository; and a processor that is coupled to the memory, the processor being configured to execute the instructions; identify a content object stored in the first repository; identify metadata for the content object stored in the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; retrieve the metadata from the first repository; and store a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to communicate information related to the harvested content object to the first repository. 11. The server of claim 10, wherein the interface comprises an Application Programming Interface (API) provided by the first repository. 12. The server of claim 11, wherein the API comprises a retrieval API that allows the harvested content object stored at the second repository to link to the newest version of the content object stored in the first repository, when accessed. 13. The server of claim 11, wherein when the API comprises a usage data API that, when accessed by the second repository, allows the second repository to communicate usage data about the harvested content object, as generated at the second repository, to the first repository. 14. The server of claim 13, wherein the usage data comprises at least one of: reviews about the harvested content object, feedback for the harvested content object, a ratings value for the harvested content object, and a times accessed value for the harvested content object. 15. The server of claim 13, wherein the usage data comprises at least one of: information indicating an instructor using the harvested content object; information about a student who is able to access the harvested content object; information indicating a course using the harvested content object; and information indicating an institution using the harvested content object. 16. The server of claim 10, wherein the processor is further configured to:
provide the harvested content object to a third repository; wherein, when the usage data API is accessed by the third repository, the third repository communicates usage data about the harvested content object, as generated at the third repository, to the first repository. 17. The server of claim 10, wherein the retrieving the metadata from the first repository is performed using a modified version of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol, the modified version comprising an Extensible Markup Language (XML) schema that extends metadata items provided in the OAI-PMH protocol to include the link to the interface associated with the content object. 18. A method of communicating between a first repository and a second repository, the method to be performed at the first repository, the method comprising:
providing a content object at the first repository; providing metadata for the content object at the first repository, the metadata comprising a link to an interface associated with the content object, the interface being provided by the first repository; and transmitting the metadata to a second repository, wherein the second repository stores a harvested content object corresponding to the content object, the harvested content object comprising the metadata that includes the link to the interface, wherein the interface is accessible by the second repository to allow the first repository to receive information related to the harvested content object from the second repository or another repository. 19. The method of claim 18, wherein the interface comprises an Application Programming Interface (API) provided by the first repository. 20. The method of claim 19, wherein the API comprises a retrieval API that allows the harvested content object stored at the second repository to link to the newest version of the content object stored on in the first repository, when accessed. 21. The method of claim 19, wherein the API comprises a usage data API, and when the usage data API is accessed, the method further comprises:
receiving usage data about the harvested content object from another repository; and updating usage information for the content object corresponding to the harvested content object with the received usage data. 22. The method of claim 21, wherein the usage data is generated at, and received from, the second repository. 23. The method of claim 21, wherein the usage data is generated at, and received from, a third repository, the third repository having retrieved the harvested content object from the second repository. 24. The method of claim 18, wherein the transmitting of the metadata to the second repository is performed using a modified version of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol, the modified version comprising an Extensible Markup Language (XML) schema that extends metadata items provided in the OAI-PMH protocol to include the link to the interface associated with the content object. | 2,100 |
5,881 | 5,881 | 15,853,619 | 2,177 | Systems and methods for automated local story generation and curation are described. In one example embodiment, a server computer receives content from client devices, and processes the content to identify content characteristics. Stories are then generated based on the characteristics of the received content, and the stories are communicated to client devices. In certain embodiments, selection at a client device of an individual piece of content within a story may further be used by the system to provide the client device with a sub-story that includes pieces of content sharing content characteristics with the characteristics of the selected image or video. | 1. A method comprising:
receiving, at a server system, a plurality of content communications from a plurality of client devices, each content communication comprising content, a location associated with the content, and a time associated with the content; processing, by the server system, each content communication from the plurality of content communications to determine a set of content characteristics for each piece of content; and automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of content of the first plurality of pieces of content. 2. The method of claim 1 wherein the set of content characteristics comprises one or more of:
a local content geolocation area;
a content time period;
one or more content quality metrics; and
one or more content categories. 3. The method of claim 2 further comprising:
associating a visibility of the first story with a first visibility area; and
communicating the first story to a plurality of client devices within the first visibility area. 4. The method of claim 3 further comprising:
analyzing a plurality of incoming content messages to determine system trends associated with the first story; and
adjusting the visibility of the first story to a second visibility area. 5. The method of claim 4 wherein first visibility area is a local geographic area, the second visibility area is a regional geographic area comprising a plurality of local geographic areas, and the first visibility area is a first local geographic area of the plurality of local geographic areas within the regional geographic area. 6. The method of claim 4 wherein the second visibility area is a local geographic area, the first visibility area is a regional geographic area comprising a plurality of local geographic areas, and the second visibility area is a first local geographic area of the plurality of local geographic areas within the regional geographic area. 7. The method of claim 3 further comprising:
receiving, from a first client device, a first client device location;
communicating at least two stories to the first client device, wherein the at least two stories comprise the first story, wherein each of the at least two stories is associated with a visibility area, and wherein the visibility area for each of the at least two stories encompasses the first client device location. 8. The method of claim 2 further comprising, prior to generating the first story:
determining, by the server system, an baseline content receipt rate for a first set of content characteristics;
determining, by the server system, that a current content receipt rate associated with the first set of content characteristics has deviated from the baseline content receipt rate by more than a threshold amount; and
adjusting a story visibility area for the first story based on the determination that the current content receipt rate for the first set of content characteristics has deviated from the baseline content receipt rate by more than the threshold amount. 9. The method of claim 8 further comprising:
communicating the first story to a first client device based, at least in part, on a location of the first client device within the story visibility area;
receiving, at the server system from the first client device, a selection communication associated with a second piece of content of the first story;
communicating a second story comprising pieces of content sharing at least a portion of a set of content characteristics of the second piece of content; and
communicating the second story to the first client device. 10. The method of claim 9 wherein the second story is generated in response to receipt of the selection communication at the server system. 11. The method of claim 9 wherein the second story is generated and associated with the second piece of content based on content characteristics of the second piece of content prior to receipt of the selection communication. 12. The method of claim 2 wherein the one or more content categories are determined using machine vision processes operating as part of the server system to analyze each received content communication. 13. The method of claim 12 wherein the machine vision processes generate one or more content characteristic values for each piece of content from a content dictionary; and
wherein the one or more content categories are determined using the content characteristic values for each piece of content. 14. A server system comprising:
a memory; and one or more processors coupled to the memory and configured to: receive a plurality of content communications from a plurality of client devices, each content communication comprising content, a location associated with the content, and a time associated with the content; process, each content communication from the plurality of content communications using, at least in part, machine vision to determine a set of content characteristics for each piece of content; and automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of content of the first plurality of pieces of content. 15. The server system of claim 14 wherein the one or more processors are further configured to:
determine a first visibility area for the first story based on a content origin area associated with the first plurality of pieces of content;
receive a location communication from a first client device identifying a location of the first client device;
determine that the location of the first client device is within the first visibility area; and
communicate a first story message associated with the first story to the first client device in response to the determination that the first client device is within the first visibility area. 16. The server system of claim 15 wherein the one or more processors are further configured to:
transmit an application to a first client device of the plurality of client devices prior to receiving the plurality of content communications; and.
stream the pieces of content of the first story to the first client device in response to an input command received at a user interface of the application operating on the first client device. 17. The server system of claim 15 wherein the input command comprises a continuous touch input received at a touchscreen display of the first client device selecting the first story. 18. A non-transitory computer readable medium comprising computer readable instructions that, when executed by one or more processors cause a server system to:
receive a plurality of content communications from a plurality of client devices, each content communication comprising at least one piece of content, a location associated with the at least one piece of content, and a time associated with the at least one piece of content; process, each content communication from the plurality of content communications using, at least in part, machine vision to determine a set of content characteristics for each piece of content; and automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of content of the first plurality of pieces of content. 19. The non-transitory computer readable medium of claim 18 wherein the one or more processors further cause the server system to:
associate a visibility of the first story with a first visibility area; and
communicating the first story to a plurality of client devices within the first visibility area;
analyze a plurality of incoming pieces of content to determine system trends associated with the first story; and
adjust the visibility of the first story to a second visibility area. 20. The non-transitory computer readable medium of claim 19 wherein the
set of content characteristics for each piece of content comprises:
a local content geolocation area;
a content time period; and
one or more content categories determined from a machine vision analysis of each piece of content. | Systems and methods for automated local story generation and curation are described. In one example embodiment, a server computer receives content from client devices, and processes the content to identify content characteristics. Stories are then generated based on the characteristics of the received content, and the stories are communicated to client devices. In certain embodiments, selection at a client device of an individual piece of content within a story may further be used by the system to provide the client device with a sub-story that includes pieces of content sharing content characteristics with the characteristics of the selected image or video.1. A method comprising:
receiving, at a server system, a plurality of content communications from a plurality of client devices, each content communication comprising content, a location associated with the content, and a time associated with the content; processing, by the server system, each content communication from the plurality of content communications to determine a set of content characteristics for each piece of content; and automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of content of the first plurality of pieces of content. 2. The method of claim 1 wherein the set of content characteristics comprises one or more of:
a local content geolocation area;
a content time period;
one or more content quality metrics; and
one or more content categories. 3. The method of claim 2 further comprising:
associating a visibility of the first story with a first visibility area; and
communicating the first story to a plurality of client devices within the first visibility area. 4. The method of claim 3 further comprising:
analyzing a plurality of incoming content messages to determine system trends associated with the first story; and
adjusting the visibility of the first story to a second visibility area. 5. The method of claim 4 wherein first visibility area is a local geographic area, the second visibility area is a regional geographic area comprising a plurality of local geographic areas, and the first visibility area is a first local geographic area of the plurality of local geographic areas within the regional geographic area. 6. The method of claim 4 wherein the second visibility area is a local geographic area, the first visibility area is a regional geographic area comprising a plurality of local geographic areas, and the second visibility area is a first local geographic area of the plurality of local geographic areas within the regional geographic area. 7. The method of claim 3 further comprising:
receiving, from a first client device, a first client device location;
communicating at least two stories to the first client device, wherein the at least two stories comprise the first story, wherein each of the at least two stories is associated with a visibility area, and wherein the visibility area for each of the at least two stories encompasses the first client device location. 8. The method of claim 2 further comprising, prior to generating the first story:
determining, by the server system, an baseline content receipt rate for a first set of content characteristics;
determining, by the server system, that a current content receipt rate associated with the first set of content characteristics has deviated from the baseline content receipt rate by more than a threshold amount; and
adjusting a story visibility area for the first story based on the determination that the current content receipt rate for the first set of content characteristics has deviated from the baseline content receipt rate by more than the threshold amount. 9. The method of claim 8 further comprising:
communicating the first story to a first client device based, at least in part, on a location of the first client device within the story visibility area;
receiving, at the server system from the first client device, a selection communication associated with a second piece of content of the first story;
communicating a second story comprising pieces of content sharing at least a portion of a set of content characteristics of the second piece of content; and
communicating the second story to the first client device. 10. The method of claim 9 wherein the second story is generated in response to receipt of the selection communication at the server system. 11. The method of claim 9 wherein the second story is generated and associated with the second piece of content based on content characteristics of the second piece of content prior to receipt of the selection communication. 12. The method of claim 2 wherein the one or more content categories are determined using machine vision processes operating as part of the server system to analyze each received content communication. 13. The method of claim 12 wherein the machine vision processes generate one or more content characteristic values for each piece of content from a content dictionary; and
wherein the one or more content categories are determined using the content characteristic values for each piece of content. 14. A server system comprising:
a memory; and one or more processors coupled to the memory and configured to: receive a plurality of content communications from a plurality of client devices, each content communication comprising content, a location associated with the content, and a time associated with the content; process, each content communication from the plurality of content communications using, at least in part, machine vision to determine a set of content characteristics for each piece of content; and automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of content of the first plurality of pieces of content. 15. The server system of claim 14 wherein the one or more processors are further configured to:
determine a first visibility area for the first story based on a content origin area associated with the first plurality of pieces of content;
receive a location communication from a first client device identifying a location of the first client device;
determine that the location of the first client device is within the first visibility area; and
communicate a first story message associated with the first story to the first client device in response to the determination that the first client device is within the first visibility area. 16. The server system of claim 15 wherein the one or more processors are further configured to:
transmit an application to a first client device of the plurality of client devices prior to receiving the plurality of content communications; and.
stream the pieces of content of the first story to the first client device in response to an input command received at a user interface of the application operating on the first client device. 17. The server system of claim 15 wherein the input command comprises a continuous touch input received at a touchscreen display of the first client device selecting the first story. 18. A non-transitory computer readable medium comprising computer readable instructions that, when executed by one or more processors cause a server system to:
receive a plurality of content communications from a plurality of client devices, each content communication comprising at least one piece of content, a location associated with the at least one piece of content, and a time associated with the at least one piece of content; process, each content communication from the plurality of content communications using, at least in part, machine vision to determine a set of content characteristics for each piece of content; and automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of content of the first plurality of pieces of content. 19. The non-transitory computer readable medium of claim 18 wherein the one or more processors further cause the server system to:
associate a visibility of the first story with a first visibility area; and
communicating the first story to a plurality of client devices within the first visibility area;
analyze a plurality of incoming pieces of content to determine system trends associated with the first story; and
adjust the visibility of the first story to a second visibility area. 20. The non-transitory computer readable medium of claim 19 wherein the
set of content characteristics for each piece of content comprises:
a local content geolocation area;
a content time period; and
one or more content categories determined from a machine vision analysis of each piece of content. | 2,100 |
5,882 | 5,882 | 13,632,642 | 2,165 | A method of modeling a scenario for use with live data in a production database may include selecting the scenario. The live data can be stored in the production database on a first computing resource, and production scenarios can be stored and executed on the live data using the first computing resource. The method may also include identifying a subset of the live data that are affected by the scenario, copying the subset to a second computing resource to create modeling data, running the scenario on the modeling data using the second computing resource, causing a display device to provide an output comprising a result of the scenario on the modeling data, receiving an input indicating that the scenario is approved, and storing the scenario with the plurality of production scenarios for use on the first computing resource. | 1. A method of efficiently modeling a scenario for use with live data in a production database, the method comprising:
defining or selecting the scenario, wherein:
the live data is stored in the production database on a first computing resource; and
a plurality of production scenarios are stored and executed on the live data using the first computing resource;
identifying a subset of the live data that are affected by the scenario; copying the subset of the live data to a second computing resource to create modeling data, wherein the second computing resource is configured to run the scenario faster than the first computing resource; running the scenario on the modeling data using the second computing resource; causing a display device to provide an output comprising a result of the scenario on the modeling data; receiving an input indicating that the scenario is approved to be run on the first computing resource; and storing the scenario with the plurality of production scenarios for use on the first computing resource. 2. The method of claim 1, wherein the scenario comprises an allocation rule comprising a basis selected from the live data. 3. The method of claim 1, wherein the scenario comprises a business process comprising a plurality of allocation rules, wherein one or more of the plurality of allocation rules comprises a basis selected from the live data. 4. The method of claim 1, wherein the first computing resource and the second computing resource operate using difference processors. 5. The method of claim 1, wherein:
the first computing resource comprises a first one or more memories; the second computing resource comprises a second one or more memories, and the second one or more memories are faster than the first one or more memories. 6. The method of claim 1, wherein the first computing resource and the second computing resource comprise physically separate computer systems. 7. The method of claim 1, wherein:
running the scenario on the modeling data using the first computing resource takes a first amount of time; running the scenario on the modeling data using the second computing resource takes a second amount of time; and the first amount of time is a least five times greater than the second amount of time. 8. The method of claim 1, wherein the second computing resource comprises a modeling entry in the production database. 9. The method of claim 1, wherein the scenario comprises a first scenario, the method further comprising:
defining or selecting a second scenario to be modeled on the live data, wherein:
the second scenario alters one or more aspects of the first scenario; and
the second scenario uses the at least a portion of the modeling data;
running the second scenario on the modeling data using the second computing resource, wherein:
the output further comprises:
a result of the second scenario on the modeling data; and
a comparison to the result of the first scenario on the modeling data;
the input further indicates that the first scenario is preferred to the second scenario. 10. The method of claim 1, wherein the result of the scenario on the modeling data comprises a revenue for a department. 11. The method of claim 1, further comprising overwriting a portion of the live data with the result of the scenario on the modeling data. 12. A computer-readable memory having stored thereon a sequence of instructions which, when executed by one or more processors, causes the one or more processors to efficiently model a scenario for use with live data in a production database by:
defining or selecting the scenario, wherein:
the live data is stored in the production database on a first computing resource; and
a plurality of production scenarios are stored and executed on the live data using the first computing resource;
identifying a subset of the live data that are affected by the scenario; copying the subset of the live data to a second computing resource to create modeling data, wherein the second computing resource is configured to run the scenario faster than the first computing resource; running the scenario on the modeling data using the second computing resource; causing a display device to provide an output comprising a result of the scenario on the modeling data; receiving an input indicating that the scenario is approved to be run on the first computing resource; and storing the scenario with the plurality of production scenarios for use on the first computing resource. 13. The computer-readable memory according to claim 12, wherein the first computing resource and the second computing resource operate using difference processors. 14. The computer-readable memory according to claim 12, wherein:
the first computing resource comprises a first one or more memories; the second computing resource comprises a second one or more memories, and the second one or more memories are faster than the first one or more memories. 15. The computer-readable memory according to claim 12, wherein:
running the scenario on the modeling data using the first computing resource takes a first amount of time; running the scenario on the modeling data using the second computing resource takes a second amount of time; and the first amount of time is a least five times greater than the second amount of time. 16. The computer-readable memory according to claim 12, wherein the scenario comprises a first scenario, the instructions further causing the one or more processors to operate by:
defining or selecting a second scenario to be modeled on the live data, wherein:
the second scenario alters one or more aspects of the first scenario; and
the second scenario uses the at least a portion of the modeling data;
running the second scenario on the modeling data using the second computing resource, wherein:
the output further comprises:
a result of the second scenario on the modeling data; and
a comparison to the result of the first scenario on the modeling data;
the input further indicates that the first scenario is preferred to the second scenario. 17. A system comprising:
one or more processors; and a memory communicatively coupled with and readable by the one or more processors and having stored therein a sequence of instructions which, when executed by the one or more processors, cause the one or more processors to efficiently model a scenario for use with live data in a production database by: defining or selecting the scenario, wherein:
the live data is stored in the production database on a first computing resource; and
a plurality of production scenarios are stored and executed on the live data using the first computing resource;
identifying a subset of the live data that are affected by the scenario; copying the subset of the live data to a second computing resource to create modeling data, wherein the second computing resource is configured to run the scenario faster than the first computing resource; running the scenario on the modeling data using the second computing resource; causing a display device to provide an output comprising a result of the scenario on the modeling data; receiving an input indicating that the scenario is approved to be run on the first computing resource; and storing the scenario with the plurality of production scenarios for use on the first computing resource. 18. The system of claim 17 wherein the result of the scenario on the modeling data comprises a revenue for a department. 19. The system of claim 17 wherein the scenario comprises an allocation rule comprising a basis selected from the live data. 20. The system of claim 17 wherein the first computing resource and the second computing resource comprise physically separate computer systems. | A method of modeling a scenario for use with live data in a production database may include selecting the scenario. The live data can be stored in the production database on a first computing resource, and production scenarios can be stored and executed on the live data using the first computing resource. The method may also include identifying a subset of the live data that are affected by the scenario, copying the subset to a second computing resource to create modeling data, running the scenario on the modeling data using the second computing resource, causing a display device to provide an output comprising a result of the scenario on the modeling data, receiving an input indicating that the scenario is approved, and storing the scenario with the plurality of production scenarios for use on the first computing resource.1. A method of efficiently modeling a scenario for use with live data in a production database, the method comprising:
defining or selecting the scenario, wherein:
the live data is stored in the production database on a first computing resource; and
a plurality of production scenarios are stored and executed on the live data using the first computing resource;
identifying a subset of the live data that are affected by the scenario; copying the subset of the live data to a second computing resource to create modeling data, wherein the second computing resource is configured to run the scenario faster than the first computing resource; running the scenario on the modeling data using the second computing resource; causing a display device to provide an output comprising a result of the scenario on the modeling data; receiving an input indicating that the scenario is approved to be run on the first computing resource; and storing the scenario with the plurality of production scenarios for use on the first computing resource. 2. The method of claim 1, wherein the scenario comprises an allocation rule comprising a basis selected from the live data. 3. The method of claim 1, wherein the scenario comprises a business process comprising a plurality of allocation rules, wherein one or more of the plurality of allocation rules comprises a basis selected from the live data. 4. The method of claim 1, wherein the first computing resource and the second computing resource operate using difference processors. 5. The method of claim 1, wherein:
the first computing resource comprises a first one or more memories; the second computing resource comprises a second one or more memories, and the second one or more memories are faster than the first one or more memories. 6. The method of claim 1, wherein the first computing resource and the second computing resource comprise physically separate computer systems. 7. The method of claim 1, wherein:
running the scenario on the modeling data using the first computing resource takes a first amount of time; running the scenario on the modeling data using the second computing resource takes a second amount of time; and the first amount of time is a least five times greater than the second amount of time. 8. The method of claim 1, wherein the second computing resource comprises a modeling entry in the production database. 9. The method of claim 1, wherein the scenario comprises a first scenario, the method further comprising:
defining or selecting a second scenario to be modeled on the live data, wherein:
the second scenario alters one or more aspects of the first scenario; and
the second scenario uses the at least a portion of the modeling data;
running the second scenario on the modeling data using the second computing resource, wherein:
the output further comprises:
a result of the second scenario on the modeling data; and
a comparison to the result of the first scenario on the modeling data;
the input further indicates that the first scenario is preferred to the second scenario. 10. The method of claim 1, wherein the result of the scenario on the modeling data comprises a revenue for a department. 11. The method of claim 1, further comprising overwriting a portion of the live data with the result of the scenario on the modeling data. 12. A computer-readable memory having stored thereon a sequence of instructions which, when executed by one or more processors, causes the one or more processors to efficiently model a scenario for use with live data in a production database by:
defining or selecting the scenario, wherein:
the live data is stored in the production database on a first computing resource; and
a plurality of production scenarios are stored and executed on the live data using the first computing resource;
identifying a subset of the live data that are affected by the scenario; copying the subset of the live data to a second computing resource to create modeling data, wherein the second computing resource is configured to run the scenario faster than the first computing resource; running the scenario on the modeling data using the second computing resource; causing a display device to provide an output comprising a result of the scenario on the modeling data; receiving an input indicating that the scenario is approved to be run on the first computing resource; and storing the scenario with the plurality of production scenarios for use on the first computing resource. 13. The computer-readable memory according to claim 12, wherein the first computing resource and the second computing resource operate using difference processors. 14. The computer-readable memory according to claim 12, wherein:
the first computing resource comprises a first one or more memories; the second computing resource comprises a second one or more memories, and the second one or more memories are faster than the first one or more memories. 15. The computer-readable memory according to claim 12, wherein:
running the scenario on the modeling data using the first computing resource takes a first amount of time; running the scenario on the modeling data using the second computing resource takes a second amount of time; and the first amount of time is a least five times greater than the second amount of time. 16. The computer-readable memory according to claim 12, wherein the scenario comprises a first scenario, the instructions further causing the one or more processors to operate by:
defining or selecting a second scenario to be modeled on the live data, wherein:
the second scenario alters one or more aspects of the first scenario; and
the second scenario uses the at least a portion of the modeling data;
running the second scenario on the modeling data using the second computing resource, wherein:
the output further comprises:
a result of the second scenario on the modeling data; and
a comparison to the result of the first scenario on the modeling data;
the input further indicates that the first scenario is preferred to the second scenario. 17. A system comprising:
one or more processors; and a memory communicatively coupled with and readable by the one or more processors and having stored therein a sequence of instructions which, when executed by the one or more processors, cause the one or more processors to efficiently model a scenario for use with live data in a production database by: defining or selecting the scenario, wherein:
the live data is stored in the production database on a first computing resource; and
a plurality of production scenarios are stored and executed on the live data using the first computing resource;
identifying a subset of the live data that are affected by the scenario; copying the subset of the live data to a second computing resource to create modeling data, wherein the second computing resource is configured to run the scenario faster than the first computing resource; running the scenario on the modeling data using the second computing resource; causing a display device to provide an output comprising a result of the scenario on the modeling data; receiving an input indicating that the scenario is approved to be run on the first computing resource; and storing the scenario with the plurality of production scenarios for use on the first computing resource. 18. The system of claim 17 wherein the result of the scenario on the modeling data comprises a revenue for a department. 19. The system of claim 17 wherein the scenario comprises an allocation rule comprising a basis selected from the live data. 20. The system of claim 17 wherein the first computing resource and the second computing resource comprise physically separate computer systems. | 2,100 |
5,883 | 5,883 | 15,790,297 | 2,139 | A cache management mechanism is provided having a size that is independent of an overall storage capacity of a non-volatile memory (NVM). The cache management mechanism includes a first level map data structure arranged as a first-in-first-out (FIFO) buffer to list a plurality of host access commands sequentially received from a host device. Each command has an associated host tag value. A cache memory stores user data blocks associated with the commands. A second level map of the cache management mechanism correlates cache addresses with the host tag values. A processing core searches the FIFO buffer in an effort to match a logical address of an existing command to the logical address for a new command. If a match is found, the host tag value is used to locate the cache address for the requested data. If a cache miss occurs, the new command is forwarded to the NVM. | 1. A data storage device, comprising:
a non-volatile memory (NVM); a first level map stored as a data structure in a first memory and arranged as a first-in-first-out (FIFO) buffer to list a plurality of host access commands in an order corresponding to an order in which the host access commands were received from a host device, the FIFO buffer storing a different host tag value for each of the host access commands; a cache memory configured to store user data blocks associated with the host access commands listed in the FIFO buffer, each of the user data blocks having a logical address; a second level map stored as a data structure in a second memory and arranged as a cache map to correlate cache addresses in the cache memory at which the user data blocks are stored to the host tag values stored in the FIFO buffer, the first memory, the second memory, and the cache memory comprise on-chip local volatile memory that is incorporated into a system on chip (SOC) integrated circuit device; and a control circuit configured to, responsive to receipt of a new host access command from the host device, search the FIFO buffer to identify a selected host access command from the plurality of host access commands listed in the FIFO buffer having a logical address that corresponds to a logical address associated with the new host access command, to use the host tag value from the FIFO buffer for the selected host access command as an input value to the second level map to locate a selected cache address in the cache memory, and to transfer a selected user data block stored at the selected cache address to the host device to service the new host access command. 2. The data storage device of claim 1, wherein control circuit comprises a processing core of the system on chip (SOC) integrated circuit device, the processing core comprising at least one programmable processor having associated programming in a processor memory. 3. The data storage device of claim 2, wherein the processing core comprising at least one programmable processor having associated programming in a processor memory. 4. The data storage device of claim 1, further comprising an NVM controller circuit associated with the NVM, wherein the processing core is further configured to sequentially transfer at least selected ones of the host access commands listed in the FIFO buffer to the NVM controller circuit to transfer at least selected ones of the user data blocks stored in the cache memory to the NVM. 5. The data storage device of claim 1, wherein the processing core is further configured to establish a first pointer that identifies a first selected entry in the FIFO buffer and a second pointer that identifies a second selected entry in the FIFO buffer separated from the first selected entry by a predetermined number of entries to define a valid region, and wherein the processing core limits the searching for the selected host access command from the plurality of host access commands listed in the FIFO buffer having a logical address that corresponds to a logical address associated with the new host access command to the valid region. 6. The data storage device of claim 5, wherein the processing core is further configured to advance the first pointer from the first selected entry in the FIFO buffer to an immediately following entry in the FIFO buffer to adjust the valid region and to forward the host access command listed in the first selected entry to the NVM to transfer a selected number of user data blocks between the NVM and the cache memory. 7. The data storage device of claim 6, wherein the processing core is further configured to advance the second pointer from the second selected entry in the FIFO buffer to a second immediately following entry in the FIFO buffer and to format the second immediately following entry to list the new host access command and a new host tag value. 8. The data storage device of claim 1, wherein the FIFO buffer of the first level map is a wraparound buffer having a total number N entries from a top entry to a bottom entry, and wherein the processing core is configured to, upon the generation of N entries corresponding to N sequentially received host access commands, generate additional entries by overwriting the FIFO buffer beginning with the top entry. 9. The data storage device of claim 1, further comprising a third level map as a data structure stored in the NVM that associates logical addresses of the user data blocks with physical addresses in the NVM at which the user data blocks are stored. 10. The data storage device of claim 1, wherein the processing core is further configured to append a new entry to the FIFO buffer for the new host access command. 11. The data storage device of claim 1, wherein the NVM comprises at least one rotatable magnetic recording disc. 12. The data storage device of claim 1, wherein the NVM comprises solid state semiconductor memory. 13. A method comprising:
servicing a sequence of host access commands supplied to a data storage device from a host device to transfer user data blocks associated with the host access commands between the host device and a non-volatile memory (NVM); accumulating the host access commands in a first level map as a data structure in a first memory arranged as a first-in-first-out (FIFO) buffer to list the host access commands in an order corresponding to an order in which the host access commands were received, the FIFO buffer further identifying each of the host access commands by a unique host tag value; storing user data blocks associated with the host access commands in a cache memory, the first memory, the second memory, and the cache memory comprise on-chip local volatile memory that is incorporated into a system on chip (SOC) integrated circuit device; generating a second level map as a data structure in a second memory arranged as a cache map to correlate cache addresses in the cache memory at which the user data blocks are stored to the host tag values stored in the FIFO buffer; searching, responsive to receipt of a new host access command from the host device, the FIFO buffer to identify a selected host access command having a logical address that corresponds to a logical address associated with the new host access command; using the host tag value for the selected host access command as an input value to the second level map to locate a selected cache address in the cache memory; and transferring a selected user data block stored at the selected cache address to the host device to service the new host access command. 14. The method of claim 13, further comprising appending the FIFO buffer with a new entry corresponding to the new host access command. 15. The method of claim 13, further comprising sequentially transferring at least selected ones of the host access commands listed in the FIFO buffer to an NVM controller circuit to transfer at least selected ones of the user data blocks stored in the cache memory to the NVM. 16. The method of claim 13, further comprising using first and second pointers to identify a valid range of entries in the FIFO buffer for commands having user data blocks stored in the cache memory, wherein remaining entries in the FIFO buffer outside the valid range list invalid commands that do not store user data blocks in the cache memory. 17. The method of claim 13, wherein the FIFO buffer of the first level map is a wraparound buffer having a total number N entries from a top entry to a bottom entry, and wherein the method further comprises generating additional entries overwriting the FIFO buffer beginning with the top entry. 18. The method of claim 13, further comprising storing a third level map as a data structure in the NVM that associates logical addresses of the user data blocks with physical addresses in the NVM at which the user data blocks are stored, and accessing the third level map to service the new host access command. 19. The method of claim 13, wherein the NVM comprises at least at selected one of a rotatable magnetic recording disc or a NAND flash memory. 20. The method of claim 13, wherein the first level map data structure is arranged as a first-in-first-out (FIFO) address lookup table (ALT) and is characterized as a cache management mechanism having an overall size that is independent of the overall data storage capacity of the NVM. | A cache management mechanism is provided having a size that is independent of an overall storage capacity of a non-volatile memory (NVM). The cache management mechanism includes a first level map data structure arranged as a first-in-first-out (FIFO) buffer to list a plurality of host access commands sequentially received from a host device. Each command has an associated host tag value. A cache memory stores user data blocks associated with the commands. A second level map of the cache management mechanism correlates cache addresses with the host tag values. A processing core searches the FIFO buffer in an effort to match a logical address of an existing command to the logical address for a new command. If a match is found, the host tag value is used to locate the cache address for the requested data. If a cache miss occurs, the new command is forwarded to the NVM.1. A data storage device, comprising:
a non-volatile memory (NVM); a first level map stored as a data structure in a first memory and arranged as a first-in-first-out (FIFO) buffer to list a plurality of host access commands in an order corresponding to an order in which the host access commands were received from a host device, the FIFO buffer storing a different host tag value for each of the host access commands; a cache memory configured to store user data blocks associated with the host access commands listed in the FIFO buffer, each of the user data blocks having a logical address; a second level map stored as a data structure in a second memory and arranged as a cache map to correlate cache addresses in the cache memory at which the user data blocks are stored to the host tag values stored in the FIFO buffer, the first memory, the second memory, and the cache memory comprise on-chip local volatile memory that is incorporated into a system on chip (SOC) integrated circuit device; and a control circuit configured to, responsive to receipt of a new host access command from the host device, search the FIFO buffer to identify a selected host access command from the plurality of host access commands listed in the FIFO buffer having a logical address that corresponds to a logical address associated with the new host access command, to use the host tag value from the FIFO buffer for the selected host access command as an input value to the second level map to locate a selected cache address in the cache memory, and to transfer a selected user data block stored at the selected cache address to the host device to service the new host access command. 2. The data storage device of claim 1, wherein control circuit comprises a processing core of the system on chip (SOC) integrated circuit device, the processing core comprising at least one programmable processor having associated programming in a processor memory. 3. The data storage device of claim 2, wherein the processing core comprising at least one programmable processor having associated programming in a processor memory. 4. The data storage device of claim 1, further comprising an NVM controller circuit associated with the NVM, wherein the processing core is further configured to sequentially transfer at least selected ones of the host access commands listed in the FIFO buffer to the NVM controller circuit to transfer at least selected ones of the user data blocks stored in the cache memory to the NVM. 5. The data storage device of claim 1, wherein the processing core is further configured to establish a first pointer that identifies a first selected entry in the FIFO buffer and a second pointer that identifies a second selected entry in the FIFO buffer separated from the first selected entry by a predetermined number of entries to define a valid region, and wherein the processing core limits the searching for the selected host access command from the plurality of host access commands listed in the FIFO buffer having a logical address that corresponds to a logical address associated with the new host access command to the valid region. 6. The data storage device of claim 5, wherein the processing core is further configured to advance the first pointer from the first selected entry in the FIFO buffer to an immediately following entry in the FIFO buffer to adjust the valid region and to forward the host access command listed in the first selected entry to the NVM to transfer a selected number of user data blocks between the NVM and the cache memory. 7. The data storage device of claim 6, wherein the processing core is further configured to advance the second pointer from the second selected entry in the FIFO buffer to a second immediately following entry in the FIFO buffer and to format the second immediately following entry to list the new host access command and a new host tag value. 8. The data storage device of claim 1, wherein the FIFO buffer of the first level map is a wraparound buffer having a total number N entries from a top entry to a bottom entry, and wherein the processing core is configured to, upon the generation of N entries corresponding to N sequentially received host access commands, generate additional entries by overwriting the FIFO buffer beginning with the top entry. 9. The data storage device of claim 1, further comprising a third level map as a data structure stored in the NVM that associates logical addresses of the user data blocks with physical addresses in the NVM at which the user data blocks are stored. 10. The data storage device of claim 1, wherein the processing core is further configured to append a new entry to the FIFO buffer for the new host access command. 11. The data storage device of claim 1, wherein the NVM comprises at least one rotatable magnetic recording disc. 12. The data storage device of claim 1, wherein the NVM comprises solid state semiconductor memory. 13. A method comprising:
servicing a sequence of host access commands supplied to a data storage device from a host device to transfer user data blocks associated with the host access commands between the host device and a non-volatile memory (NVM); accumulating the host access commands in a first level map as a data structure in a first memory arranged as a first-in-first-out (FIFO) buffer to list the host access commands in an order corresponding to an order in which the host access commands were received, the FIFO buffer further identifying each of the host access commands by a unique host tag value; storing user data blocks associated with the host access commands in a cache memory, the first memory, the second memory, and the cache memory comprise on-chip local volatile memory that is incorporated into a system on chip (SOC) integrated circuit device; generating a second level map as a data structure in a second memory arranged as a cache map to correlate cache addresses in the cache memory at which the user data blocks are stored to the host tag values stored in the FIFO buffer; searching, responsive to receipt of a new host access command from the host device, the FIFO buffer to identify a selected host access command having a logical address that corresponds to a logical address associated with the new host access command; using the host tag value for the selected host access command as an input value to the second level map to locate a selected cache address in the cache memory; and transferring a selected user data block stored at the selected cache address to the host device to service the new host access command. 14. The method of claim 13, further comprising appending the FIFO buffer with a new entry corresponding to the new host access command. 15. The method of claim 13, further comprising sequentially transferring at least selected ones of the host access commands listed in the FIFO buffer to an NVM controller circuit to transfer at least selected ones of the user data blocks stored in the cache memory to the NVM. 16. The method of claim 13, further comprising using first and second pointers to identify a valid range of entries in the FIFO buffer for commands having user data blocks stored in the cache memory, wherein remaining entries in the FIFO buffer outside the valid range list invalid commands that do not store user data blocks in the cache memory. 17. The method of claim 13, wherein the FIFO buffer of the first level map is a wraparound buffer having a total number N entries from a top entry to a bottom entry, and wherein the method further comprises generating additional entries overwriting the FIFO buffer beginning with the top entry. 18. The method of claim 13, further comprising storing a third level map as a data structure in the NVM that associates logical addresses of the user data blocks with physical addresses in the NVM at which the user data blocks are stored, and accessing the third level map to service the new host access command. 19. The method of claim 13, wherein the NVM comprises at least at selected one of a rotatable magnetic recording disc or a NAND flash memory. 20. The method of claim 13, wherein the first level map data structure is arranged as a first-in-first-out (FIFO) address lookup table (ALT) and is characterized as a cache management mechanism having an overall size that is independent of the overall data storage capacity of the NVM. | 2,100 |
5,884 | 5,884 | 15,670,830 | 2,132 | A data storage system comprises physical storage, cache memory and a processor connected to the physical storage and the cache memory. The processor is arranged to maintain a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage, where the integer could be 1. The processor receives requests for one or more blocks of the cache memory from components within the storage system and allocates one or more blocks from an active region in response to a received request. If the processor determines that all blocks in an active region have been allocated and that all allocated blocks within this region have been written to, then the processor destages the content of this region to the physical storage. | 1. A method of operating a data storage system comprising physical storage, cache memory, and a processor connected to the physical storage and the cache memory, the method comprising:
maintaining a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage; receiving requests for at least one block of the cache memory; allocating at least one block from an active region in response to a received request; determining that all blocks in an active region have been allocated and that all allocated blocks within this active region have been written to; and destaging content of this active region to the physical storage. 2. The method according to claim 1, further comprising determining that no further blocks can be allocated from any active region, selecting a target region from the regions, instructing all components within the data storage system that have allocated blocks for the target region to stop writing to their allocated blocks for the target region, and destaging content of the target region to the physical storage. 3. The method according to claim 2, wherein selecting the target region from the regions comprises operating a fitness function on each of the regions to determine a most suitable region as the target region. 4. The method according to claim 3, wherein operating the fitness function comprises determining a region with a lowest number of blocks yet to be written to amongst all regions and defining the target region as the region with the lowest number of blocks yet to be written to amongst all regions. 5. The method according to claim 2, further comprising, before destaging the content of the target region to the physical storage, instructing all components within the data storage system maintaining free lists including at least one block from the target region to remove the at least one block from their free lists. 6. A data storage system comprising physical storage, cache memory, and a processor connected to the physical storage and the cache memory, the processor arranged to:
maintain a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage; receive requests for at least one block of the cache memory; allocate at least one block from an active region in response to a received request; determine that all blocks in an active region have been allocated and that all allocated blocks within this active region have been written to; and destage content of this active region to the physical storage. 7. The system according to claim 6, wherein the processor is further configured to determine that no further blocks can be allocated from any active region, select a target region from the regions, instruct all components within the data storage system that have allocated blocks for the target region to stop writing to their allocated blocks for the target region, and destage content of the target region to the physical storage. 8. The system according to claim 7, wherein the processor is configured to, when selecting the target region from the regions, operate a fitness function on each of the regions to determine a most suitable region as the target region. 9. The system according to claim 8, wherein the processor is configured to, when operating the fitness function, determine a region with a lowest number of blocks yet to be written to amongst all regions and define the target region as the region with the lowest number of blocks yet to be written to amongst all regions. 10. The system according to claim 7, wherein the processor is further configured to, before destaging the content of the target region to the physical storage, instruct all components within the data storage system maintaining free lists including at least one block from the target region to remove the at least one block from their free lists. 11. A computer program product for controlling a data storage system comprising physical storage, cache memory, and a processor connected to the physical storage and the cache memory, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
maintain a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage; receive requests for at least one block of the cache memory; allocate at least one block from an active region in response to a received request; determine that all blocks in an active region have been allocated and that all allocated blocks within this active region have been written to; and destage content of this active region to the physical storage. 12. The computer program product according to claim 11, wherein the program instructions further cause the processor to determine that no further blocks can be allocated from any active region, select a target region from the regions, instruct all components within the data storage system that have allocated blocks for the target region to stop writing to their allocated blocks for the target region, and destage content of the target region to the physical storage. 13. The computer program product according to claim 12, wherein the program instructions further cause the processor to operate a fitness function on each of the regions to determine a most suitable region as the target region. 14. The computer program product according to claim 13, wherein the program instructions further cause the processor to determine a region with a lowest number of blocks yet to be written to amongst all regions and define the target region as the region with the lowest number of blocks yet to be written to amongst all regions. 15. The computer program product according to claim 12, wherein the program instructions further cause the processor to, before destaging the content of the target region to the physical storage, instruct all components within the data storage system maintaining free lists including at least one block from the target region to remove the at least one block from their free lists. | A data storage system comprises physical storage, cache memory and a processor connected to the physical storage and the cache memory. The processor is arranged to maintain a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage, where the integer could be 1. The processor receives requests for one or more blocks of the cache memory from components within the storage system and allocates one or more blocks from an active region in response to a received request. If the processor determines that all blocks in an active region have been allocated and that all allocated blocks within this region have been written to, then the processor destages the content of this region to the physical storage.1. A method of operating a data storage system comprising physical storage, cache memory, and a processor connected to the physical storage and the cache memory, the method comprising:
maintaining a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage; receiving requests for at least one block of the cache memory; allocating at least one block from an active region in response to a received request; determining that all blocks in an active region have been allocated and that all allocated blocks within this active region have been written to; and destaging content of this active region to the physical storage. 2. The method according to claim 1, further comprising determining that no further blocks can be allocated from any active region, selecting a target region from the regions, instructing all components within the data storage system that have allocated blocks for the target region to stop writing to their allocated blocks for the target region, and destaging content of the target region to the physical storage. 3. The method according to claim 2, wherein selecting the target region from the regions comprises operating a fitness function on each of the regions to determine a most suitable region as the target region. 4. The method according to claim 3, wherein operating the fitness function comprises determining a region with a lowest number of blocks yet to be written to amongst all regions and defining the target region as the region with the lowest number of blocks yet to be written to amongst all regions. 5. The method according to claim 2, further comprising, before destaging the content of the target region to the physical storage, instructing all components within the data storage system maintaining free lists including at least one block from the target region to remove the at least one block from their free lists. 6. A data storage system comprising physical storage, cache memory, and a processor connected to the physical storage and the cache memory, the processor arranged to:
maintain a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage; receive requests for at least one block of the cache memory; allocate at least one block from an active region in response to a received request; determine that all blocks in an active region have been allocated and that all allocated blocks within this active region have been written to; and destage content of this active region to the physical storage. 7. The system according to claim 6, wherein the processor is further configured to determine that no further blocks can be allocated from any active region, select a target region from the regions, instruct all components within the data storage system that have allocated blocks for the target region to stop writing to their allocated blocks for the target region, and destage content of the target region to the physical storage. 8. The system according to claim 7, wherein the processor is configured to, when selecting the target region from the regions, operate a fitness function on each of the regions to determine a most suitable region as the target region. 9. The system according to claim 8, wherein the processor is configured to, when operating the fitness function, determine a region with a lowest number of blocks yet to be written to amongst all regions and define the target region as the region with the lowest number of blocks yet to be written to amongst all regions. 10. The system according to claim 7, wherein the processor is further configured to, before destaging the content of the target region to the physical storage, instruct all components within the data storage system maintaining free lists including at least one block from the target region to remove the at least one block from their free lists. 11. A computer program product for controlling a data storage system comprising physical storage, cache memory, and a processor connected to the physical storage and the cache memory, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
maintain a set of active regions in the cache memory, each active region having a size equal to an integer multiple of an update size of a flash chip within the physical storage; receive requests for at least one block of the cache memory; allocate at least one block from an active region in response to a received request; determine that all blocks in an active region have been allocated and that all allocated blocks within this active region have been written to; and destage content of this active region to the physical storage. 12. The computer program product according to claim 11, wherein the program instructions further cause the processor to determine that no further blocks can be allocated from any active region, select a target region from the regions, instruct all components within the data storage system that have allocated blocks for the target region to stop writing to their allocated blocks for the target region, and destage content of the target region to the physical storage. 13. The computer program product according to claim 12, wherein the program instructions further cause the processor to operate a fitness function on each of the regions to determine a most suitable region as the target region. 14. The computer program product according to claim 13, wherein the program instructions further cause the processor to determine a region with a lowest number of blocks yet to be written to amongst all regions and define the target region as the region with the lowest number of blocks yet to be written to amongst all regions. 15. The computer program product according to claim 12, wherein the program instructions further cause the processor to, before destaging the content of the target region to the physical storage, instruct all components within the data storage system maintaining free lists including at least one block from the target region to remove the at least one block from their free lists. | 2,100 |
5,885 | 5,885 | 15,392,965 | 2,193 | A method for running an application via an operating system executing on a computing device is disclosed. In an embodiment, the method involves subjecting an API call to a complimentary application virtualization layer, after the API call is subjected to the complimentary application virtualization layer, subjecting the API call to a primary application virtualization layer, and after the API call has been subjected to the complimentary application virtualization layer and to the primary application virtualization layer, forwarding the API call to the operating system for processing in the kernel-space. | 1. A method for running an application via an operating system executing on a computing device, the method comprising:
subjecting an API call to a complimentary application virtualization layer; after the API call is subjected to the complimentary application virtualization layer, subjecting the API call to a primary application virtualization layer; and after the API call has been subjected to the complimentary application virtualization layer and to the primary application virtualization layer, forwarding the API call to the operating system for processing in the kernel-space. 2. The method of claim 1, wherein subjecting an API call to a complimentary application virtualization layer comprises parsing the opcode of the API call and over-writing a jump instruction in a parsed portion of the opcode. 3. The method of claim 2, wherein subjecting an API call to a complimentary application virtualization layer comprises scanning for the length of initial opcodes and removing the initial bytes of an opcode sufficient to insert a desired jump instruction to the function with the redirection to the sandbox of the complimentary virtualization layer. 4. The method of claim 2, wherein subjecting an API call to a complimentary virtualization layer comprises following the jump destination and replacing the jump destination to point to the function with the redirection to the sandbox of the complimentary virtualization layer. 5. A method for running an application via an operating system executing on a computing device, the method comprising:
virtualizing an API call from the application at to a complimentary application virtualization layer to generate a virtualized API call; virtualizing the virtualized API call at a primary application virtualization layer to generate a compound virtualized API call; and forwarding the compound virtualized API call to the operating system for processing in the kernel-space. 6. A method for running an application via an operating system executing on a computing device, the method comprising:
intercepting an API call at a complimentary application virtualization layer to generate a virtualized API call; virtualizing the virtualized API call according to a primary application virtualization layer to generate a compound virtualized API call; and forwarding the compound virtualized API call to the operating system for processing in the kernel-space. 7. A system for running an application via an operating system executing on a computing device, the system comprising:
at least one processing unit and memory; an operating system stored on the memory; a complimentary application virtualization layer stored on the memory; and a primary application virtualization layer stored on the memory, wherein execution of an application on the operating system involves; subjecting an API call from the application to the complimentary application virtualization layer; after the API call is subjected to the complimentary application virtualization layer, subjecting the API call to a primary application virtualization layer; and after the API call has been subjected to the complimentary application virtualization layer and to the primary application virtualization layer, forwarding the API call to the operating system for processing in the kernel-space. 8. A non-transitory computer readable medium that stores computer-executable code, the computer-executable code comprising:
a compound virtualization package, the compound virtualization package including; and an application incorporated into a primary virtualization package and the primary virtualization package incorporated into a complimentary virtualization package, wherein the complimentary virtualization package and the primary virtualization package include layer-specific virtualization logic files, virtual files stores, and virtual configurations. | A method for running an application via an operating system executing on a computing device is disclosed. In an embodiment, the method involves subjecting an API call to a complimentary application virtualization layer, after the API call is subjected to the complimentary application virtualization layer, subjecting the API call to a primary application virtualization layer, and after the API call has been subjected to the complimentary application virtualization layer and to the primary application virtualization layer, forwarding the API call to the operating system for processing in the kernel-space.1. A method for running an application via an operating system executing on a computing device, the method comprising:
subjecting an API call to a complimentary application virtualization layer; after the API call is subjected to the complimentary application virtualization layer, subjecting the API call to a primary application virtualization layer; and after the API call has been subjected to the complimentary application virtualization layer and to the primary application virtualization layer, forwarding the API call to the operating system for processing in the kernel-space. 2. The method of claim 1, wherein subjecting an API call to a complimentary application virtualization layer comprises parsing the opcode of the API call and over-writing a jump instruction in a parsed portion of the opcode. 3. The method of claim 2, wherein subjecting an API call to a complimentary application virtualization layer comprises scanning for the length of initial opcodes and removing the initial bytes of an opcode sufficient to insert a desired jump instruction to the function with the redirection to the sandbox of the complimentary virtualization layer. 4. The method of claim 2, wherein subjecting an API call to a complimentary virtualization layer comprises following the jump destination and replacing the jump destination to point to the function with the redirection to the sandbox of the complimentary virtualization layer. 5. A method for running an application via an operating system executing on a computing device, the method comprising:
virtualizing an API call from the application at to a complimentary application virtualization layer to generate a virtualized API call; virtualizing the virtualized API call at a primary application virtualization layer to generate a compound virtualized API call; and forwarding the compound virtualized API call to the operating system for processing in the kernel-space. 6. A method for running an application via an operating system executing on a computing device, the method comprising:
intercepting an API call at a complimentary application virtualization layer to generate a virtualized API call; virtualizing the virtualized API call according to a primary application virtualization layer to generate a compound virtualized API call; and forwarding the compound virtualized API call to the operating system for processing in the kernel-space. 7. A system for running an application via an operating system executing on a computing device, the system comprising:
at least one processing unit and memory; an operating system stored on the memory; a complimentary application virtualization layer stored on the memory; and a primary application virtualization layer stored on the memory, wherein execution of an application on the operating system involves; subjecting an API call from the application to the complimentary application virtualization layer; after the API call is subjected to the complimentary application virtualization layer, subjecting the API call to a primary application virtualization layer; and after the API call has been subjected to the complimentary application virtualization layer and to the primary application virtualization layer, forwarding the API call to the operating system for processing in the kernel-space. 8. A non-transitory computer readable medium that stores computer-executable code, the computer-executable code comprising:
a compound virtualization package, the compound virtualization package including; and an application incorporated into a primary virtualization package and the primary virtualization package incorporated into a complimentary virtualization package, wherein the complimentary virtualization package and the primary virtualization package include layer-specific virtualization logic files, virtual files stores, and virtual configurations. | 2,100 |
5,886 | 5,886 | 14,622,661 | 2,181 | A system on a chip (SoC) can be configured to operate in one of a plurality of modes. In a first mode, the SoC can be operated as a network compute subsystem to provide networking services only. In a second mode, the SoC can be operated as a server compute subsystem to provide compute services only. In a third mode, the SoC can be operated as a network compute subsystem and the server compute subsystem to provide both networking and compute services concurrently. | 1. A system on a chip (SoC) comprising:
a network compute subsystem for managing network traffic for a host system; and a server compute subsystem for providing compute services, wherein the SoC is configured to operate in one of a plurality of modes, and wherein
in a first mode, the SoC is configured to operate the network compute subsystem,
in a second mode, the SoC is configured to operate the server compute subsystem, and
in a third mode, the SoC is configured to operate the network compute subsystem and the server compute subsystem concurrently. 2. The SoC of claim 1, wherein in the first mode the SoC is further configured to repurpose the server compute subsystem as a second network compute subsystem. 3. The SoC of claim 1, wherein in the second mode the SoC is further configured to repurpose the network compute subsystem as a second server compute subsystem. 4. The SoC of claim 1, the SoC further comprising reconfigurable processing and memory resources, wherein the SoC is further configured to assign at least a portion of the reconfigurable processing and memory resources to operate as resources for the server compute subsystem in the second mode or to operate as resources for the network compute subsystem in the first mode. 5. A system on a chip (SoC) configured to:
operate in one of a plurality of modes, wherein
in a first mode, the SoC is configured to operate a network compute subsystem for managing network traffic,
in a second mode, the SoC is configured to operate a server compute subsystem for providing compute services, and
in a third mode, the SoC is configured to operate the network compute subsystem and the server compute subsystem concurrently. 6. The SoC of claim 5, wherein in the first mode, the SoC is configured to operate the network compute subsystem on a Peripheral Component Interconnect Express (PCIe) device in a host system. 7. The SoC of claim 5, wherein in the second mode, the SoC is configured to operate the server compute subsystem on a Peripheral Component Interconnect Express (PCIe) device in a host system. 8. The SoC of claim 5, wherein in the second mode, the SoC is configured to operate as a general purpose processor in a host system. 9. The SoC of claim 5, wherein in the first mode, the SoC is further configured to disable the server compute subsystem and reconfigure processing and memory resources associated with the server compute subsystem to operate as resources for the network compute subsystem. 10. The SoC of claim 5, wherein in the first mode the SoC is further configured to repurpose the server compute subsystem as a second network compute subsystem. 11. The SoC of claim 5, wherein in the second mode, the SoC is further configured to disable the network compute subsystem and reconfigure processing and memory resources associated with the network compute subsystem to operate as resources for the server compute subsystem. 12. The SoC of claim 5, wherein the SoC is further configured to repurpose the network compute subsystem as a second server compute subsystem in the second mode. 13. The SoC of claim 5, the SoC comprising reconfigurable processing and memory resources, wherein the SoC is further configured to assign at least a portion of the reconfigurable processing and memory resources to the network compute subsystem in the first mode. 14. The SoC of claim 5, the SoC comprising reconfigurable processing and memory resources, wherein the SoC is further configured to assign at least a portion of the reconfigurable processing and memory resources to the server compute subsystem in the second mode. 15. The SoC of claim 5, wherein in the third mode, the SoC is further configured to operate the server compute subsystem as a host system and to operate the network compute subsystem to manage network traffic for the host system. 16. The SoC of claim 5, the SoC comprising a management compute subsystem, the management compute subsystem configured to configure the SoC in one of the plurality of modes. 17. A System-on-Chip (SoC) system comprising:
a plurality of SoCs, the plurality of SoCs comprising a first SoC and a second SoC, the second SoC communicatively coupled to the first SoC, wherein the first SoC is configured to operate in one of a plurality of modes, and wherein
in a first mode, the first SoC is configured to operate a first network compute subsystem,
in a second mode, the first SoC is configured to operate a first server compute subsystem, and
in a third mode, the first SoC is configured to operate the first network compute subsystem and the first server compute subsystem concurrently. 18. The system of claim 17, wherein the second SoC is also configured to operate in one of the plurality of modes, and wherein
in the first mode, the second SoC is configured to operate a second network compute subsystem, in the second mode, the second SoC is configured to operate a second server compute subsystem, and in the third mode, the second SoC is configured to operate the second network compute subsystem and the second server compute subsystem concurrently. 19. The system of claim 18, wherein the first SoC is configured in the first mode with the first server compute subsystem repurposed as a third network compute subsystem and the second SoC is configured in the second mode with the second network compute subsystem repurposed as a third server compute subsystem. 20. The system of claim 17, wherein the second SoC is a general purpose SoC. | A system on a chip (SoC) can be configured to operate in one of a plurality of modes. In a first mode, the SoC can be operated as a network compute subsystem to provide networking services only. In a second mode, the SoC can be operated as a server compute subsystem to provide compute services only. In a third mode, the SoC can be operated as a network compute subsystem and the server compute subsystem to provide both networking and compute services concurrently.1. A system on a chip (SoC) comprising:
a network compute subsystem for managing network traffic for a host system; and a server compute subsystem for providing compute services, wherein the SoC is configured to operate in one of a plurality of modes, and wherein
in a first mode, the SoC is configured to operate the network compute subsystem,
in a second mode, the SoC is configured to operate the server compute subsystem, and
in a third mode, the SoC is configured to operate the network compute subsystem and the server compute subsystem concurrently. 2. The SoC of claim 1, wherein in the first mode the SoC is further configured to repurpose the server compute subsystem as a second network compute subsystem. 3. The SoC of claim 1, wherein in the second mode the SoC is further configured to repurpose the network compute subsystem as a second server compute subsystem. 4. The SoC of claim 1, the SoC further comprising reconfigurable processing and memory resources, wherein the SoC is further configured to assign at least a portion of the reconfigurable processing and memory resources to operate as resources for the server compute subsystem in the second mode or to operate as resources for the network compute subsystem in the first mode. 5. A system on a chip (SoC) configured to:
operate in one of a plurality of modes, wherein
in a first mode, the SoC is configured to operate a network compute subsystem for managing network traffic,
in a second mode, the SoC is configured to operate a server compute subsystem for providing compute services, and
in a third mode, the SoC is configured to operate the network compute subsystem and the server compute subsystem concurrently. 6. The SoC of claim 5, wherein in the first mode, the SoC is configured to operate the network compute subsystem on a Peripheral Component Interconnect Express (PCIe) device in a host system. 7. The SoC of claim 5, wherein in the second mode, the SoC is configured to operate the server compute subsystem on a Peripheral Component Interconnect Express (PCIe) device in a host system. 8. The SoC of claim 5, wherein in the second mode, the SoC is configured to operate as a general purpose processor in a host system. 9. The SoC of claim 5, wherein in the first mode, the SoC is further configured to disable the server compute subsystem and reconfigure processing and memory resources associated with the server compute subsystem to operate as resources for the network compute subsystem. 10. The SoC of claim 5, wherein in the first mode the SoC is further configured to repurpose the server compute subsystem as a second network compute subsystem. 11. The SoC of claim 5, wherein in the second mode, the SoC is further configured to disable the network compute subsystem and reconfigure processing and memory resources associated with the network compute subsystem to operate as resources for the server compute subsystem. 12. The SoC of claim 5, wherein the SoC is further configured to repurpose the network compute subsystem as a second server compute subsystem in the second mode. 13. The SoC of claim 5, the SoC comprising reconfigurable processing and memory resources, wherein the SoC is further configured to assign at least a portion of the reconfigurable processing and memory resources to the network compute subsystem in the first mode. 14. The SoC of claim 5, the SoC comprising reconfigurable processing and memory resources, wherein the SoC is further configured to assign at least a portion of the reconfigurable processing and memory resources to the server compute subsystem in the second mode. 15. The SoC of claim 5, wherein in the third mode, the SoC is further configured to operate the server compute subsystem as a host system and to operate the network compute subsystem to manage network traffic for the host system. 16. The SoC of claim 5, the SoC comprising a management compute subsystem, the management compute subsystem configured to configure the SoC in one of the plurality of modes. 17. A System-on-Chip (SoC) system comprising:
a plurality of SoCs, the plurality of SoCs comprising a first SoC and a second SoC, the second SoC communicatively coupled to the first SoC, wherein the first SoC is configured to operate in one of a plurality of modes, and wherein
in a first mode, the first SoC is configured to operate a first network compute subsystem,
in a second mode, the first SoC is configured to operate a first server compute subsystem, and
in a third mode, the first SoC is configured to operate the first network compute subsystem and the first server compute subsystem concurrently. 18. The system of claim 17, wherein the second SoC is also configured to operate in one of the plurality of modes, and wherein
in the first mode, the second SoC is configured to operate a second network compute subsystem, in the second mode, the second SoC is configured to operate a second server compute subsystem, and in the third mode, the second SoC is configured to operate the second network compute subsystem and the second server compute subsystem concurrently. 19. The system of claim 18, wherein the first SoC is configured in the first mode with the first server compute subsystem repurposed as a third network compute subsystem and the second SoC is configured in the second mode with the second network compute subsystem repurposed as a third server compute subsystem. 20. The system of claim 17, wherein the second SoC is a general purpose SoC. | 2,100 |
5,887 | 5,887 | 13,736,487 | 2,129 | A disclosed subsurface electromagnetic field monitoring system employs at least one fiberoptic cable to optically communicate measurements from an array of electromagnetic field sensors in a borehole. A data processing system that receives the measurements and responsively models the subsurface electromagnetic field, which in at least some cases is generated by a controlled source such as a downhole electric or magnetic dipole source or a casing that serves as an electrode for injecting a distributed current into the formation. At least some disclosed method embodiments include: receiving measurements from an array of electromagnetic field sensors via a fiberoptic cable in a borehole; modeling a subsurface electromagnetic field based on estimated formation parameters to predict said measurements; adjusting the estimated formation parameters to improve a match between predicted measurements and received measurements; and displaying the estimated formation parameters after matching the predicted measurements to the received measurements. | 1. A subsurface electromagnetic field monitoring system that comprises:
at least one fiberoptic cable that optically communicates measurements from an array of electromagnetic field sensors in a borehole; and a data processing system that receives said measurements and responsively models the subsurface electromagnetic field. 2. The system of claim 1, further comprising a controlled source that generates said subsurface electromagnetic field. 3. The system of claim 2, wherein the controlled source injects a distributed current via a casing in said borehole. 4. The system of claim 3, wherein the controlled source injects a current via a casing in a second borehole. 5. The system of claim 2, wherein the controlled source is an electric dipole source positioned in an annular space between a casing and a wall of said borehole. 6. The system of claim 2, wherein the controlled source is a magnetic dipole source positioned in an annular space between a casing and a wall of said borehole. 7. The system of claim 2, wherein the data processing system derives a multi-dimensional model of formation resistivity or conductivity based at least in part on said subsurface electromagnetic field. 8. The system of claim 7, wherein the data processing system determines a fluid interface location based at least in part on the multi-dimensional model of formation resistivity or conductivity. 9. The system of claim 1, wherein said sensors each provide a measure of magnetic field strength or gradient. 10. The system of claim 9, wherein said sensors are atomic magnetometers. 11. The system of claim 9, wherein said sensors include a magnetic element that displaces a reflective surface in response to the magnetic field. 12. The system of claim 1, wherein said sensors each provide a measure of a magnetic field derivative. 13. The system of claim 12, wherein said sensors include a coil antenna. 14. The system of claim 1, wherein said sensors each provide a measure of electric field strength. 15. The system of claim 14, wherein said sensors include a charged element that displaces a reflective surface in response to the electric field. 16. A subsurface electromagnetic field monitoring method that comprises:
receiving measurements from an array of electromagnetic field sensors via a fiberoptic cable in a borehole; modeling a subsurface electromagnetic field based on estimated formation parameters to predict said measurements; adjusting the estimated formation parameters to improve a match between predicted measurements and received measurements; and displaying the estimated formation parameters after matching the predicted measurements to the received measurements. 17. The method of claim 16, wherein the estimated formation parameters include resistivity or conductivity. 18. The method of claim 17, further comprising deriving a location of a fluid front from the estimated formation parameters. 19. The method of claim 16, wherein said sensors each include an atomic magnetometer. 20. The method of claim 16, wherein said sensors each include a coil antenna. | A disclosed subsurface electromagnetic field monitoring system employs at least one fiberoptic cable to optically communicate measurements from an array of electromagnetic field sensors in a borehole. A data processing system that receives the measurements and responsively models the subsurface electromagnetic field, which in at least some cases is generated by a controlled source such as a downhole electric or magnetic dipole source or a casing that serves as an electrode for injecting a distributed current into the formation. At least some disclosed method embodiments include: receiving measurements from an array of electromagnetic field sensors via a fiberoptic cable in a borehole; modeling a subsurface electromagnetic field based on estimated formation parameters to predict said measurements; adjusting the estimated formation parameters to improve a match between predicted measurements and received measurements; and displaying the estimated formation parameters after matching the predicted measurements to the received measurements.1. A subsurface electromagnetic field monitoring system that comprises:
at least one fiberoptic cable that optically communicates measurements from an array of electromagnetic field sensors in a borehole; and a data processing system that receives said measurements and responsively models the subsurface electromagnetic field. 2. The system of claim 1, further comprising a controlled source that generates said subsurface electromagnetic field. 3. The system of claim 2, wherein the controlled source injects a distributed current via a casing in said borehole. 4. The system of claim 3, wherein the controlled source injects a current via a casing in a second borehole. 5. The system of claim 2, wherein the controlled source is an electric dipole source positioned in an annular space between a casing and a wall of said borehole. 6. The system of claim 2, wherein the controlled source is a magnetic dipole source positioned in an annular space between a casing and a wall of said borehole. 7. The system of claim 2, wherein the data processing system derives a multi-dimensional model of formation resistivity or conductivity based at least in part on said subsurface electromagnetic field. 8. The system of claim 7, wherein the data processing system determines a fluid interface location based at least in part on the multi-dimensional model of formation resistivity or conductivity. 9. The system of claim 1, wherein said sensors each provide a measure of magnetic field strength or gradient. 10. The system of claim 9, wherein said sensors are atomic magnetometers. 11. The system of claim 9, wherein said sensors include a magnetic element that displaces a reflective surface in response to the magnetic field. 12. The system of claim 1, wherein said sensors each provide a measure of a magnetic field derivative. 13. The system of claim 12, wherein said sensors include a coil antenna. 14. The system of claim 1, wherein said sensors each provide a measure of electric field strength. 15. The system of claim 14, wherein said sensors include a charged element that displaces a reflective surface in response to the electric field. 16. A subsurface electromagnetic field monitoring method that comprises:
receiving measurements from an array of electromagnetic field sensors via a fiberoptic cable in a borehole; modeling a subsurface electromagnetic field based on estimated formation parameters to predict said measurements; adjusting the estimated formation parameters to improve a match between predicted measurements and received measurements; and displaying the estimated formation parameters after matching the predicted measurements to the received measurements. 17. The method of claim 16, wherein the estimated formation parameters include resistivity or conductivity. 18. The method of claim 17, further comprising deriving a location of a fluid front from the estimated formation parameters. 19. The method of claim 16, wherein said sensors each include an atomic magnetometer. 20. The method of claim 16, wherein said sensors each include a coil antenna. | 2,100 |
5,888 | 5,888 | 14,160,752 | 2,178 | In one aspect, an apparatus includes a processor, a touch-enabled display operatively coupled to the processor, and a memory accessible to the processor. The memory bears instructions executable by the processor to execute a handwriting recognition engine automatically without requiring user selection of a handwriting recognition application to start the handwriting recognition engine, receive input from the touch-enabled display, determine whether the input indicates a character, and automatically store the character responsive to a determination that the input indicates a character. | 1. An apparatus, comprising:
a processor; a touch-enabled display operatively coupled to the processor; a memory accessible to the processor and bearing instructions executable by the processor to: execute a handwriting recognition engine automatically without requiring user selection of a handwriting recognition application to start the handwriting recognition engine; receive input from the touch-enabled display; determine whether the input indicates a character; and responsive to a determination that the input indicates a character, automatically store the character. 2. The apparatus of claim 1, wherein a file is automatically created responsive to the determination and the character is automatically stored in the file. 3. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
determine whether the input indicates other than an unmoving touch input prior to the determination of whether the input indicates a character, and responsive to a determination that the input indicates other than an unmoving touch input, determine whether the input indicates a character. 4. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
responsive to a determination that the input does not indicate a character, automatically store the input as a drawing. 5. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
responsive to a determination that the input indicates a character and store the character, store input not recognized as a character as a drawing. 6. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
receive the input on a home screen display presenting icons associated with shortcuts to respective applications. 7. The apparatus of claim 2, wherein the instructions are further executable by the processor to:
automatically present on the touch-enabled display at least a portion of the file without user command. 8. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
start the handwriting recognition engine at boot time of the apparatus. 9. Method comprising:
running a handwriting recognition engine in the background on a device so that a user need only start writing on a touchscreen display of the device any time during operation of the device to enter handwriting without starting an application to do so; capturing handwriting; automatically storing at least a portion of the handwriting without user command to do so. 10. The method of claim 9, comprising starting the handwriting recognition engine at boot time of the device. 11. The method of claim 9, comprising automatically storing as a drawing portions of the handwriting not recognized as establishing one or more characters. 12. The method of claim 9, comprising automatically storing as a drawing portions of the handwriting not recognized as establishing one or more characters. 13. The method of claim 9, comprising:
determining whether user input on the display indicates other than an unmoving touch input prior to capturing the input as handwriting, and capturing the input as handwriting responsive to a determination that the user input on the display indicates other than an unmoving touch input. 14. The method of claim 9, comprising receiving the handwriting on a home screen display presenting icons associated with shortcuts to respective applications. 15. The method of claim 9, comprising automatically presenting on the display at least a portion of a file without user command, at least a portion of the handwriting being stored in the file. 16. Apparatus comprising:
a processor; a memory accessible to the processor and bearing instructions executable by the processor to: execute a handwriting recognition engine automatically; receive input from a touch-enabled display; determine whether the input indicates handwriting; responsive to a determination that the input indicates handwriting, determine whether the input indicates a character; and responsive to a determination that the input indicates a character, automatically store the character. 17. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
responsive to a determination that the input does not indicate a character, store the input as a drawing. 18. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
responsive to a determination that the input indicates a character and storing the character, store input not recognized as a character as a drawing. 19. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
receive the input on a home screen presenting icons associated with shortcuts to respective applications. 20. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
start the handwriting recognition engine at boot time of the apparatus. | In one aspect, an apparatus includes a processor, a touch-enabled display operatively coupled to the processor, and a memory accessible to the processor. The memory bears instructions executable by the processor to execute a handwriting recognition engine automatically without requiring user selection of a handwriting recognition application to start the handwriting recognition engine, receive input from the touch-enabled display, determine whether the input indicates a character, and automatically store the character responsive to a determination that the input indicates a character.1. An apparatus, comprising:
a processor; a touch-enabled display operatively coupled to the processor; a memory accessible to the processor and bearing instructions executable by the processor to: execute a handwriting recognition engine automatically without requiring user selection of a handwriting recognition application to start the handwriting recognition engine; receive input from the touch-enabled display; determine whether the input indicates a character; and responsive to a determination that the input indicates a character, automatically store the character. 2. The apparatus of claim 1, wherein a file is automatically created responsive to the determination and the character is automatically stored in the file. 3. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
determine whether the input indicates other than an unmoving touch input prior to the determination of whether the input indicates a character, and responsive to a determination that the input indicates other than an unmoving touch input, determine whether the input indicates a character. 4. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
responsive to a determination that the input does not indicate a character, automatically store the input as a drawing. 5. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
responsive to a determination that the input indicates a character and store the character, store input not recognized as a character as a drawing. 6. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
receive the input on a home screen display presenting icons associated with shortcuts to respective applications. 7. The apparatus of claim 2, wherein the instructions are further executable by the processor to:
automatically present on the touch-enabled display at least a portion of the file without user command. 8. The apparatus of claim 1, wherein the instructions are further executable by the processor to:
start the handwriting recognition engine at boot time of the apparatus. 9. Method comprising:
running a handwriting recognition engine in the background on a device so that a user need only start writing on a touchscreen display of the device any time during operation of the device to enter handwriting without starting an application to do so; capturing handwriting; automatically storing at least a portion of the handwriting without user command to do so. 10. The method of claim 9, comprising starting the handwriting recognition engine at boot time of the device. 11. The method of claim 9, comprising automatically storing as a drawing portions of the handwriting not recognized as establishing one or more characters. 12. The method of claim 9, comprising automatically storing as a drawing portions of the handwriting not recognized as establishing one or more characters. 13. The method of claim 9, comprising:
determining whether user input on the display indicates other than an unmoving touch input prior to capturing the input as handwriting, and capturing the input as handwriting responsive to a determination that the user input on the display indicates other than an unmoving touch input. 14. The method of claim 9, comprising receiving the handwriting on a home screen display presenting icons associated with shortcuts to respective applications. 15. The method of claim 9, comprising automatically presenting on the display at least a portion of a file without user command, at least a portion of the handwriting being stored in the file. 16. Apparatus comprising:
a processor; a memory accessible to the processor and bearing instructions executable by the processor to: execute a handwriting recognition engine automatically; receive input from a touch-enabled display; determine whether the input indicates handwriting; responsive to a determination that the input indicates handwriting, determine whether the input indicates a character; and responsive to a determination that the input indicates a character, automatically store the character. 17. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
responsive to a determination that the input does not indicate a character, store the input as a drawing. 18. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
responsive to a determination that the input indicates a character and storing the character, store input not recognized as a character as a drawing. 19. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
receive the input on a home screen presenting icons associated with shortcuts to respective applications. 20. The apparatus of claim 16, wherein the instructions are further executable by the processor to:
start the handwriting recognition engine at boot time of the apparatus. | 2,100 |
5,889 | 5,889 | 13,904,595 | 2,174 | A method for displaying a sub menu in a terminal and a terminal using the same is provided. The method includes displaying an item and a corresponding indicator for the item, receiving a touch input selecting the item according to the indicator, and displaying a related item to the item when receiving a touch gesture consecutive to the touch input. | 1. A method for displaying items in a terminal comprising a touch screen, the method comprising:
displaying an item and a corresponding indicator for the item; receiving a touch input selecting the item according to the indicator; and displaying a related item to the item when receiving a touch gesture consecutive to the touch input. 2. The method of claim 1, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 3. The method of claim 1, wherein the indicator indicates a direction of displaying the related item. 4. The method of claim 1, wherein the displaying of the related item further comprises:
displaying a related item display area; and displaying the related item in the related item display area. 5. The method of claim 4, wherein a location for the displaying of the related item display area is based on a position of the item. 6. The method of claim 5, wherein the displaying of the related item further comprises:
deploying the related item display area in a direction towards the item from an opposite edge of the touch screen based on a position in which the item is displayed. 7. The method of claim 4, wherein the displaying of the related item comprises displaying the related item display area overlapping a display screen being displayed by the terminal. 8. The method of claim 4, wherein the displaying of the related item comprises reducing an area of a display screen being displayed by the terminal by an area in which the related item display area is displayed. 9. The method of claim 1, further comprising displaying contents related to a function being executed in the terminal in an area in which the related item is not displayed among a display area of the terminal. 10. The method of claim 1, wherein the touch gesture includes at least one of a sweep, a drag, a tap, a double tap, a long tap, a press, a long press, and a gesture spreading multi touch points from each other. 11. The method of claim 1, further comprising switching the item to a selected related item to display when one of the displayed related items is selected. 12. The method of claim 1, wherein the item includes an icon or an individual content on a list. 13. The method of claim 1, wherein the related item is a sub menu for the item. 14. The method of claim 13, wherein the sub menu is displayed with at least one type of a text, an icon, a picture, an animation clip, and a video. 15. The method of claim 1, wherein the displaying of the related item further comprises displaying a spreading related item display area while being slid according to a moving direction of the touch gesture. 16. The method of claim 15, wherein the displaying of the related item comprises moving the related item display area in an opposite direction to the moving direction of the touch gesture so that all of the related item display area is displayed on a display screen of the terminal, when the related item display area which is spread while being slid reaches a boundary of a screen. 17. The method of claim 1, further comprising executing a function corresponding to the item when the touch gesture consecutive to the touch input is not received. 18. A terminal comprising:
a display unit displaying an item and an indicator for the item; an input unit receiving an input; and a controller controlling to display a related item to the item when receiving a touch input selecting the item and a touch gesture consecutive to the touch input. 19. The terminal of claim 18, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 20. The terminal of claim 18, wherein the indicator indicates a direction of displaying the related item. 21. The terminal of claim 18, wherein the controller controls to display a related item display area when receiving the touch gesture, and to display the related item in the related item display area. 22. The terminal of claim 21, wherein the controller controls to display the related item display area based on a position of the item. 23. The terminal of claim 22, wherein the controller controls to deploy the related item display area in a direction towards the item from an opposite edge of the display unit based on a position in which the item is displayed. 24. The terminal of claim 21, wherein the controller controls to display the related item display area overlapping a display screen being displayed by the terminal 25. The terminal of claim 21, wherein the controller controls to reduce an area of the display screen being displayed by the terminal by an area in which the related item display area is displayed. 26. The terminal of claim 18, wherein the controller controls to display contents related to a function being executed in the terminal in an area in which the related item is not displayed among a display area of the terminal. 27. The terminal of claim 18, wherein the touch gesture includes at least one of a sweep, a drag, a tap, a double tap, a long tap, a press, a long press, and a gesture spreading multi touch points from each other. 28. The terminal of claim 18, wherein the controller controls to switch the item to a selected related item to display when one of the displayed related items is selected. 29. The terminal of claim 18, wherein the item includes an icon or an individual content on a list. 30. The terminal of claim 18, wherein the related item is a sub menu for the item. 31. The terminal of claim 30, wherein the sub menu is displayed with at least one type of a text, an icon, a picture, an animation clip, and a video. 32. The terminal of claim 18, wherein the controller controls to display a spreading related item display area while being slid according to a moving direction of the touch gesture. 33. The terminal of claim 32, wherein the controller controls to move the related item display area in an opposite direction to the moving direction of the touch gesture so that all of the related item display area is displayed on a display screen of the terminal, when the related item display area which is spread while being slid reaches a boundary of a screen. 34. The terminal of claim 18, wherein the controller controls to execute a function corresponding to the item when the touch gesture consecutive to the touch input is not received. 35. A method for displaying an item in a terminal, the method comprising:
displaying an item and an indicator for the item, if the item includes at least one related item related to the item, when displaying the item; determining whether a touch gesture is received consecutively to a touch input selecting the item; and displaying the related item for the item when receiving the touch gesture. 36. The method of claim 35, further comprising:
displaying the item without the indicator, when the item does not include the at least one related item related to the item; and executing a function corresponding to the item that does not include the at least one related item related to the item when receiving the touch input selecting the item that does not include the at least one related item related to the item. 37. The method of claim 35, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 38. The method of claim 35, wherein the indicator indicates a direction of displaying the related item. 39. The method of claim 35, wherein the related item is a sub menu for the item. 40. A terminal for displaying an item, the terminal comprising:
a display unit displaying an item; an input unit receiving an input; and a controller controlling to display the item and an indicator for the item, if the item includes at least one related item related to the item, when displaying the item, to determine whether a touch gesture is received consecutively to a touch input selecting the item, and to display the related item to the item when receiving the touch gesture. 41. The terminal of claim 40, wherein the controller displays the item without the indicator when the item does not include the at least one related item related to the item, and executes a function corresponding to the item that does not include the at least one related item related to the item when receiving the touch input selecting the item that does not include the at least one related item related to the item. 42. The terminal of claim 40, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 43. The terminal of claim 40, wherein the indicator indicates a direction of displaying the related item. 44. The terminal of claim 40, wherein the related item is a sub menu for the item. | A method for displaying a sub menu in a terminal and a terminal using the same is provided. The method includes displaying an item and a corresponding indicator for the item, receiving a touch input selecting the item according to the indicator, and displaying a related item to the item when receiving a touch gesture consecutive to the touch input.1. A method for displaying items in a terminal comprising a touch screen, the method comprising:
displaying an item and a corresponding indicator for the item; receiving a touch input selecting the item according to the indicator; and displaying a related item to the item when receiving a touch gesture consecutive to the touch input. 2. The method of claim 1, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 3. The method of claim 1, wherein the indicator indicates a direction of displaying the related item. 4. The method of claim 1, wherein the displaying of the related item further comprises:
displaying a related item display area; and displaying the related item in the related item display area. 5. The method of claim 4, wherein a location for the displaying of the related item display area is based on a position of the item. 6. The method of claim 5, wherein the displaying of the related item further comprises:
deploying the related item display area in a direction towards the item from an opposite edge of the touch screen based on a position in which the item is displayed. 7. The method of claim 4, wherein the displaying of the related item comprises displaying the related item display area overlapping a display screen being displayed by the terminal. 8. The method of claim 4, wherein the displaying of the related item comprises reducing an area of a display screen being displayed by the terminal by an area in which the related item display area is displayed. 9. The method of claim 1, further comprising displaying contents related to a function being executed in the terminal in an area in which the related item is not displayed among a display area of the terminal. 10. The method of claim 1, wherein the touch gesture includes at least one of a sweep, a drag, a tap, a double tap, a long tap, a press, a long press, and a gesture spreading multi touch points from each other. 11. The method of claim 1, further comprising switching the item to a selected related item to display when one of the displayed related items is selected. 12. The method of claim 1, wherein the item includes an icon or an individual content on a list. 13. The method of claim 1, wherein the related item is a sub menu for the item. 14. The method of claim 13, wherein the sub menu is displayed with at least one type of a text, an icon, a picture, an animation clip, and a video. 15. The method of claim 1, wherein the displaying of the related item further comprises displaying a spreading related item display area while being slid according to a moving direction of the touch gesture. 16. The method of claim 15, wherein the displaying of the related item comprises moving the related item display area in an opposite direction to the moving direction of the touch gesture so that all of the related item display area is displayed on a display screen of the terminal, when the related item display area which is spread while being slid reaches a boundary of a screen. 17. The method of claim 1, further comprising executing a function corresponding to the item when the touch gesture consecutive to the touch input is not received. 18. A terminal comprising:
a display unit displaying an item and an indicator for the item; an input unit receiving an input; and a controller controlling to display a related item to the item when receiving a touch input selecting the item and a touch gesture consecutive to the touch input. 19. The terminal of claim 18, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 20. The terminal of claim 18, wherein the indicator indicates a direction of displaying the related item. 21. The terminal of claim 18, wherein the controller controls to display a related item display area when receiving the touch gesture, and to display the related item in the related item display area. 22. The terminal of claim 21, wherein the controller controls to display the related item display area based on a position of the item. 23. The terminal of claim 22, wherein the controller controls to deploy the related item display area in a direction towards the item from an opposite edge of the display unit based on a position in which the item is displayed. 24. The terminal of claim 21, wherein the controller controls to display the related item display area overlapping a display screen being displayed by the terminal 25. The terminal of claim 21, wherein the controller controls to reduce an area of the display screen being displayed by the terminal by an area in which the related item display area is displayed. 26. The terminal of claim 18, wherein the controller controls to display contents related to a function being executed in the terminal in an area in which the related item is not displayed among a display area of the terminal. 27. The terminal of claim 18, wherein the touch gesture includes at least one of a sweep, a drag, a tap, a double tap, a long tap, a press, a long press, and a gesture spreading multi touch points from each other. 28. The terminal of claim 18, wherein the controller controls to switch the item to a selected related item to display when one of the displayed related items is selected. 29. The terminal of claim 18, wherein the item includes an icon or an individual content on a list. 30. The terminal of claim 18, wherein the related item is a sub menu for the item. 31. The terminal of claim 30, wherein the sub menu is displayed with at least one type of a text, an icon, a picture, an animation clip, and a video. 32. The terminal of claim 18, wherein the controller controls to display a spreading related item display area while being slid according to a moving direction of the touch gesture. 33. The terminal of claim 32, wherein the controller controls to move the related item display area in an opposite direction to the moving direction of the touch gesture so that all of the related item display area is displayed on a display screen of the terminal, when the related item display area which is spread while being slid reaches a boundary of a screen. 34. The terminal of claim 18, wherein the controller controls to execute a function corresponding to the item when the touch gesture consecutive to the touch input is not received. 35. A method for displaying an item in a terminal, the method comprising:
displaying an item and an indicator for the item, if the item includes at least one related item related to the item, when displaying the item; determining whether a touch gesture is received consecutively to a touch input selecting the item; and displaying the related item for the item when receiving the touch gesture. 36. The method of claim 35, further comprising:
displaying the item without the indicator, when the item does not include the at least one related item related to the item; and executing a function corresponding to the item that does not include the at least one related item related to the item when receiving the touch input selecting the item that does not include the at least one related item related to the item. 37. The method of claim 35, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 38. The method of claim 35, wherein the indicator indicates a direction of displaying the related item. 39. The method of claim 35, wherein the related item is a sub menu for the item. 40. A terminal for displaying an item, the terminal comprising:
a display unit displaying an item; an input unit receiving an input; and a controller controlling to display the item and an indicator for the item, if the item includes at least one related item related to the item, when displaying the item, to determine whether a touch gesture is received consecutively to a touch input selecting the item, and to display the related item to the item when receiving the touch gesture. 41. The terminal of claim 40, wherein the controller displays the item without the indicator when the item does not include the at least one related item related to the item, and executes a function corresponding to the item that does not include the at least one related item related to the item when receiving the touch input selecting the item that does not include the at least one related item related to the item. 42. The terminal of claim 40, wherein the indicator indicates at least one of a type and a direction of the touch gesture. 43. The terminal of claim 40, wherein the indicator indicates a direction of displaying the related item. 44. The terminal of claim 40, wherein the related item is a sub menu for the item. | 2,100 |
5,890 | 5,890 | 14,505,268 | 2,191 | A method and apparatus for controlling power production. In one embodiment, the method comprises determining a predicted weather event; determining a predicted power production impact for a distributed generator (DG) array based on the predicted weather event; and controlling power production from one or more components of the DG array to compensate for the predicted power production impact. | 1. A method for controlling power production, comprising:
determining a predicted weather event; determining a predicted power production impact for a distributed generator (DG) array based on the predicted weather event; and controlling power production from one or more components of the DG array to compensate for the predicted power production impact. 2. The method of claim 1, wherein determining the predicted weather event comprises comparing power produced by one or more DG array components that are geographically proximate the DG array. 3. The method of claim 1, wherein determining the predicted weather event comprises using at least one of a previously generated weather prediction map or a previously generated weather prediction algorithm. 4. The method of claim 1, wherein controlling the power production comprises managing wiring capacity within the DG array to prevent circuit protection devices from triggering when operating in an over-drive mode, wherein during the over-drive mode one or more power converters of the DG array are operated over their rated power levels. 5. The method of claim 1, wherein determining the predicted power production impact comprises determining a predicted amount of power reduction by the DG array and a predicted rate of the power reduction. 6. The method of claim 5, wherein controlling the power production comprises reducing the power production at a controlled rate based on the predicted amount of the power reduction and the predicted rate of the power reduction. 7. The method of claim 6, wherein determining the predicted power production impact further comprises predicting a rate of power increase, subsequent to the power reduction, by the DG array; and wherein controlling the power production comprises increasing the power production at a second controlled rate based on the predicted rate of the power increase. 8. An apparatus for controlling power production, comprising:
a distributed generator (DG) master controller for (i) determining a predicted weather event; (ii) determining a predicted power production impact for a distributed generator (DG) array based on the predicted weather event; and (iii) controlling power production from one or more components of the DG array to compensate for the predicted power production impact. 9. The apparatus of claim 8, wherein determining the predicted weather event comprises comparing power produced by one or more DG array components that are geographically proximate the DG array. 10. The apparatus of claim 8, wherein determining the predicted weather event comprises using at least one of a previously generated weather prediction map or a previously generated weather prediction algorithm. 11. The apparatus of claim 8, wherein controlling the power production comprises managing wiring capacity within the DG array to prevent circuit protection devices from triggering when operating in an over-drive mode, wherein during the over-drive mode one or more power converters of the DG array are operated over their rated power levels. 12. The apparatus of claim 8, wherein determining the predicted power production impact comprises determining a predicted amount of power reduction by the DG array and a predicted rate of the power reduction. 13. The apparatus of claim 12, wherein controlling the power production comprises reducing the power production at a controlled rate based on the predicted amount of the power reduction and the predicted rate of the power reduction. 14. The apparatus of claim 13, wherein determining the predicted power production impact further comprises predicting a rate of power increase, subsequent to the power reduction, by the DG array; and wherein controlling the power production comprises increasing the power production at a second controlled rate based on the predicted rate of the power increase. 15. A system for controlling power production, comprising:
a distributed generator (DG) sub-array comprising (a) a controller, (b) a plurality of power converters communicatively coupled to the controller, and (c) a plurality of renewable energy sources, wherein the plurality of renewable energy sources and the plurality of power converters are coupled in a one-to-one correspondence; and a distributed generator (DG) master controller, communicatively coupled to the DG sub-array, for (i) determining a predicted weather event; (ii) determining a predicted power production impact for the DG sub-array based on the predicted weather event; and (iii) controlling power production from one or more power converters of the plurality of power converters to compensate for the predicted power production impact. 16. The system of claim 15, wherein determining the predicted weather event comprises comparing power produced by one or more DG array components that are geographically proximate the DG sub-array. 17. The system of claim 15, wherein determining the predicted weather event comprises using at least one of a previously generated weather prediction map or a previously generated weather prediction algorithm; and wherein the previously generated weather prediction map and the previously generated weather prediction algorithm each predicts shading patterns over time. 18. The system of claim 15, wherein determining the predicted power production impact comprises determining a predicted amount of power reduction by the DG array and a predicted rate of the power reduction; and wherein controlling the power production comprises reducing the power production at a controlled rate based on the predicted amount of the power reduction and the predicted rate of the power reduction. 19. The system of claim 18, wherein determining the predicted power production impact further comprises predicting a rate of power increase, subsequent to the power reduction, by the DG array; and wherein controlling the power production comprises increasing the power production at a second controlled rate based on the predicted rate of the power increase. 20. The system of claim 15, wherein controlling the power production comprises managing wiring capacity within the DG array to prevent circuit protection devices from triggering when operating in an over-drive mode, wherein during the over-drive mode one or more power converters of the DG array are operated over their rated power levels. | A method and apparatus for controlling power production. In one embodiment, the method comprises determining a predicted weather event; determining a predicted power production impact for a distributed generator (DG) array based on the predicted weather event; and controlling power production from one or more components of the DG array to compensate for the predicted power production impact.1. A method for controlling power production, comprising:
determining a predicted weather event; determining a predicted power production impact for a distributed generator (DG) array based on the predicted weather event; and controlling power production from one or more components of the DG array to compensate for the predicted power production impact. 2. The method of claim 1, wherein determining the predicted weather event comprises comparing power produced by one or more DG array components that are geographically proximate the DG array. 3. The method of claim 1, wherein determining the predicted weather event comprises using at least one of a previously generated weather prediction map or a previously generated weather prediction algorithm. 4. The method of claim 1, wherein controlling the power production comprises managing wiring capacity within the DG array to prevent circuit protection devices from triggering when operating in an over-drive mode, wherein during the over-drive mode one or more power converters of the DG array are operated over their rated power levels. 5. The method of claim 1, wherein determining the predicted power production impact comprises determining a predicted amount of power reduction by the DG array and a predicted rate of the power reduction. 6. The method of claim 5, wherein controlling the power production comprises reducing the power production at a controlled rate based on the predicted amount of the power reduction and the predicted rate of the power reduction. 7. The method of claim 6, wherein determining the predicted power production impact further comprises predicting a rate of power increase, subsequent to the power reduction, by the DG array; and wherein controlling the power production comprises increasing the power production at a second controlled rate based on the predicted rate of the power increase. 8. An apparatus for controlling power production, comprising:
a distributed generator (DG) master controller for (i) determining a predicted weather event; (ii) determining a predicted power production impact for a distributed generator (DG) array based on the predicted weather event; and (iii) controlling power production from one or more components of the DG array to compensate for the predicted power production impact. 9. The apparatus of claim 8, wherein determining the predicted weather event comprises comparing power produced by one or more DG array components that are geographically proximate the DG array. 10. The apparatus of claim 8, wherein determining the predicted weather event comprises using at least one of a previously generated weather prediction map or a previously generated weather prediction algorithm. 11. The apparatus of claim 8, wherein controlling the power production comprises managing wiring capacity within the DG array to prevent circuit protection devices from triggering when operating in an over-drive mode, wherein during the over-drive mode one or more power converters of the DG array are operated over their rated power levels. 12. The apparatus of claim 8, wherein determining the predicted power production impact comprises determining a predicted amount of power reduction by the DG array and a predicted rate of the power reduction. 13. The apparatus of claim 12, wherein controlling the power production comprises reducing the power production at a controlled rate based on the predicted amount of the power reduction and the predicted rate of the power reduction. 14. The apparatus of claim 13, wherein determining the predicted power production impact further comprises predicting a rate of power increase, subsequent to the power reduction, by the DG array; and wherein controlling the power production comprises increasing the power production at a second controlled rate based on the predicted rate of the power increase. 15. A system for controlling power production, comprising:
a distributed generator (DG) sub-array comprising (a) a controller, (b) a plurality of power converters communicatively coupled to the controller, and (c) a plurality of renewable energy sources, wherein the plurality of renewable energy sources and the plurality of power converters are coupled in a one-to-one correspondence; and a distributed generator (DG) master controller, communicatively coupled to the DG sub-array, for (i) determining a predicted weather event; (ii) determining a predicted power production impact for the DG sub-array based on the predicted weather event; and (iii) controlling power production from one or more power converters of the plurality of power converters to compensate for the predicted power production impact. 16. The system of claim 15, wherein determining the predicted weather event comprises comparing power produced by one or more DG array components that are geographically proximate the DG sub-array. 17. The system of claim 15, wherein determining the predicted weather event comprises using at least one of a previously generated weather prediction map or a previously generated weather prediction algorithm; and wherein the previously generated weather prediction map and the previously generated weather prediction algorithm each predicts shading patterns over time. 18. The system of claim 15, wherein determining the predicted power production impact comprises determining a predicted amount of power reduction by the DG array and a predicted rate of the power reduction; and wherein controlling the power production comprises reducing the power production at a controlled rate based on the predicted amount of the power reduction and the predicted rate of the power reduction. 19. The system of claim 18, wherein determining the predicted power production impact further comprises predicting a rate of power increase, subsequent to the power reduction, by the DG array; and wherein controlling the power production comprises increasing the power production at a second controlled rate based on the predicted rate of the power increase. 20. The system of claim 15, wherein controlling the power production comprises managing wiring capacity within the DG array to prevent circuit protection devices from triggering when operating in an over-drive mode, wherein during the over-drive mode one or more power converters of the DG array are operated over their rated power levels. | 2,100 |
5,891 | 5,891 | 15,716,109 | 2,143 | In a method for displaying information, a portion of a list is displayed on a display area, which includes a plurality of list entries, and the displayed portion of the list is changed by a first operator action of a user, the entries of the list being run through consecutively by the first operator action. By a second operator action multiple list entries are skipped so as to reach a list entry that is not contained in the displayed portion of the list entries that were displayed while performing the second operator action. In a device for displaying information, the above method steps are implementable. | 1. A method for displaying information, comprising:
displaying, on a display area, a portion of a list including a plurality of list entries: changing the displayed portion of the list by a first operator action of a user including selecting a list entry and steering a movement of the selected list entry in a first direction; consecutively running through the entries of the list by the first operator action; and skipping multiple list entries by a second operator action including steering a movement of a list entry in a second direction different from the first direction, to reach a list entry that is not included in the displayed portion of the list entries displayed while performing the second operator action; wherein at least one operator action includes a movement on a touch-sensitive surface of an input device arranged on the display area; and wherein the second operator action includes a movement that starts with a touch of the touch-sensitive surface at a position at which a list entry of the portion of the list is displayed. 2. The method according to claim 1, wherein the entries of each class are sorted alphabetically when displayed on the display area. 3. The method according to claim 1, further comprising scrolling through the list by the first operator action. 4. The method according to claim 1, wherein the list entries of the portion of the list are displayed in a one-dimensional line on the display area, the first operator action includes a movement on the touch-sensitive surface substantially in a direction of the one-dimensional line, and the second operator action includes a movement on the touch-sensitive surface substantially in a direction perpendicular to the one-dimensional line. 5. The method according to claim 1, wherein at least one operator action includes a movement of the display area in space, the method further comprising detecting an acceleration of the display area in space. 6. The method according to claim 1, wherein the displayed list entries are represented as situated on at least one of (a) a virtual ring and (b) a virtual ring section shown in perspective, and the displayed list entries on the at least one of (a) the virtual ring and (b) the virtual ring section are rotated in carousel-like fashion by the first operator action. 7. A device for displaying information, comprising:
a display device having a display area; a memory adapted to store a list that includes a plurality of list entries, a portion of the list displayable on the display area; and an operating device operable by a user to change the displayed portion of the list by a first operator action including selecting a list entry and steering a movement of the selected list entry in a first direction, the entries of the list being run through consecutively in response to the first operator action; the operating device operable by the user by a second operator action including steering a movement of a list entry in a second direction different from the first direction, in response to the second operator action multiple list entries are skipped to reach a first list entry that is not included in the displayed portion of the list entries displayed while performing the second operator action; and wherein at least one operator action includes a movement on a touch-sensitive surface of an input device arranged on the display area; and wherein the second operator action includes a movement that starts with a touch of the touch-sensitive surface at a position at which a list entry of the portion of the list is displayed. 8. The device according to claim 7, wherein the operating device includes an input device having a touch-sensitive surface. 9. The device according to claim 7, wherein the device includes an acceleration sensor adapted to detect an acceleration of the display area in space. 10. The device according to claim 7, wherein the list entries of the portion of the list are displayed in a one-dimensional line on the display area, the first operator action includes a movement on the touch-sensitive surface substantially in a direction of the one-dimensional line, and the second operator action includes a movement on the touch-sensitive surface substantially in a direction perpendicular to the one-dimensional line. 11. The device according to claim 7, wherein at least one operator action includes a movement of the display area in space, the method further comprising detecting an acceleration of the display area in space. 12. The device according to claim 7, wherein the displayed list entries are represented as situated on at least one of (a) a virtual ring and (b) a virtual ring section shown in perspective, and the displayed list entries on the at least one of (a) the virtual ring and (b) the virtual ring section are rotated in carousel-like fashion by the first operator action. | In a method for displaying information, a portion of a list is displayed on a display area, which includes a plurality of list entries, and the displayed portion of the list is changed by a first operator action of a user, the entries of the list being run through consecutively by the first operator action. By a second operator action multiple list entries are skipped so as to reach a list entry that is not contained in the displayed portion of the list entries that were displayed while performing the second operator action. In a device for displaying information, the above method steps are implementable.1. A method for displaying information, comprising:
displaying, on a display area, a portion of a list including a plurality of list entries: changing the displayed portion of the list by a first operator action of a user including selecting a list entry and steering a movement of the selected list entry in a first direction; consecutively running through the entries of the list by the first operator action; and skipping multiple list entries by a second operator action including steering a movement of a list entry in a second direction different from the first direction, to reach a list entry that is not included in the displayed portion of the list entries displayed while performing the second operator action; wherein at least one operator action includes a movement on a touch-sensitive surface of an input device arranged on the display area; and wherein the second operator action includes a movement that starts with a touch of the touch-sensitive surface at a position at which a list entry of the portion of the list is displayed. 2. The method according to claim 1, wherein the entries of each class are sorted alphabetically when displayed on the display area. 3. The method according to claim 1, further comprising scrolling through the list by the first operator action. 4. The method according to claim 1, wherein the list entries of the portion of the list are displayed in a one-dimensional line on the display area, the first operator action includes a movement on the touch-sensitive surface substantially in a direction of the one-dimensional line, and the second operator action includes a movement on the touch-sensitive surface substantially in a direction perpendicular to the one-dimensional line. 5. The method according to claim 1, wherein at least one operator action includes a movement of the display area in space, the method further comprising detecting an acceleration of the display area in space. 6. The method according to claim 1, wherein the displayed list entries are represented as situated on at least one of (a) a virtual ring and (b) a virtual ring section shown in perspective, and the displayed list entries on the at least one of (a) the virtual ring and (b) the virtual ring section are rotated in carousel-like fashion by the first operator action. 7. A device for displaying information, comprising:
a display device having a display area; a memory adapted to store a list that includes a plurality of list entries, a portion of the list displayable on the display area; and an operating device operable by a user to change the displayed portion of the list by a first operator action including selecting a list entry and steering a movement of the selected list entry in a first direction, the entries of the list being run through consecutively in response to the first operator action; the operating device operable by the user by a second operator action including steering a movement of a list entry in a second direction different from the first direction, in response to the second operator action multiple list entries are skipped to reach a first list entry that is not included in the displayed portion of the list entries displayed while performing the second operator action; and wherein at least one operator action includes a movement on a touch-sensitive surface of an input device arranged on the display area; and wherein the second operator action includes a movement that starts with a touch of the touch-sensitive surface at a position at which a list entry of the portion of the list is displayed. 8. The device according to claim 7, wherein the operating device includes an input device having a touch-sensitive surface. 9. The device according to claim 7, wherein the device includes an acceleration sensor adapted to detect an acceleration of the display area in space. 10. The device according to claim 7, wherein the list entries of the portion of the list are displayed in a one-dimensional line on the display area, the first operator action includes a movement on the touch-sensitive surface substantially in a direction of the one-dimensional line, and the second operator action includes a movement on the touch-sensitive surface substantially in a direction perpendicular to the one-dimensional line. 11. The device according to claim 7, wherein at least one operator action includes a movement of the display area in space, the method further comprising detecting an acceleration of the display area in space. 12. The device according to claim 7, wherein the displayed list entries are represented as situated on at least one of (a) a virtual ring and (b) a virtual ring section shown in perspective, and the displayed list entries on the at least one of (a) the virtual ring and (b) the virtual ring section are rotated in carousel-like fashion by the first operator action. | 2,100 |
5,892 | 5,892 | 15,545,693 | 2,117 | A method of fabricating a three dimensional object in an additive layer manufacturing process, e.g. 3D printing, wherein a three dimensional design of the three dimensional object is modelled as a plurality of three dimensional pixels or vortexes. For every pixel or vortex, at least one parameter is calculated and is used to select a setting for use when fabricating the three dimensional object. The parameter may be a speed or rate at which heat will diffuse away from the pixel or vortex, or a weighted density surrounding the pixel or vortex. The method provides higher quality fabrication of the three dimensional object. | 1. A method of fabricating a three dimensional object, the method comprising:
modelling a three dimensional design of the three dimensional object as a plurality of three dimensional pixels; for a three dimensional pixel, calculating at least one parameter that relates to a three dimensional region surrounding said three dimensional pixel; and using the at least one parameter to select at least one setting for use when fabricating said three dimensional pixel in the three dimensional object. 2. The method of claim 1 wherein one of the parameters is an estimation of the speed at which heat will diffuse away from the three dimensional pixel. 3. The method of claim 1 wherein one of the parameters is the density of the three dimensional region surrounding said three dimensional pixel. 4. The method of claim 3 wherein the density is calculated in a sphere of fixed radius centred on the centre of the three dimensional pixel. 5. The method of claim 1 wherein one of the parameters is a weighted density calculated by integrating the mass at each radius, r, from the centre of the three dimensional pixel, wherein the mass at each value of r is weighted according to a distribution that is a function of r. 6. The method of claim 5 wherein the distribution is a Gaussian distribution centred on said three dimensional pixel. 7. The method of claim 1 wherein the calculating of the at least one parameter comprises determining an n-tuple of the parameter. 8. The method of claim 1 wherein the plurality of pixels comprises pixels of different sizes. 9. The method of claim 1 wherein the plurality of pixels are at a lower resolution than the resolution of the fabrication process. 10. The method claim 1, wherein calculating the at least one parameter is performed for each three dimensional pixel of the plurality of three dimensional pixels, with the at least one parameter being used to select at least one setting for use when fabricating each of said three dimensional pixels in the three dimensional object. 11. The method of claim 1, wherein calculating the at least one parameter is performed for a three dimensional pixel of the plurality of three dimensional pixels, with the at least one parameter being used to select the at least one setting for use when fabricating a plurality of three dimensional pixels in a predetermined neighbourhood of said three dimensional pixel in the three dimensional object. 12. An apparatus to fabricate a three dimensional object, the apparatus comprising:
a processing unit to model a three dimensional design of the three dimensional object as a plurality of three dimensional pixels; wherein for a three dimensional pixel, the processing unit calculates at least one parameter that relates to a three dimensional region surrounding said three dimensional pixel; and wherein the processing unit uses the at least one parameter to select at least one setting of the apparatus when fabricating said three dimensional pixel in the three dimensional object. 13. The apparatus of claim 12 wherein the settings relate to the three dimensional structure selected for the three dimensional pixel. 14. The apparatus of claim 12, wherein the processing unit determines, as the at least one parameter, an estimation of the speed at which heat will diffuse away from the three dimensional pixel, and/or the density of the three dimensional region surrounding said three dimensional pixel. 15. The apparatus of claim 12, wherein the processing unit determines a weighted density by integrating the mass at each radius, r, from the centre of the three dimensional pixel, wherein the mass at each value of r is weighted according to a distribution that is a function of r. | A method of fabricating a three dimensional object in an additive layer manufacturing process, e.g. 3D printing, wherein a three dimensional design of the three dimensional object is modelled as a plurality of three dimensional pixels or vortexes. For every pixel or vortex, at least one parameter is calculated and is used to select a setting for use when fabricating the three dimensional object. The parameter may be a speed or rate at which heat will diffuse away from the pixel or vortex, or a weighted density surrounding the pixel or vortex. The method provides higher quality fabrication of the three dimensional object.1. A method of fabricating a three dimensional object, the method comprising:
modelling a three dimensional design of the three dimensional object as a plurality of three dimensional pixels; for a three dimensional pixel, calculating at least one parameter that relates to a three dimensional region surrounding said three dimensional pixel; and using the at least one parameter to select at least one setting for use when fabricating said three dimensional pixel in the three dimensional object. 2. The method of claim 1 wherein one of the parameters is an estimation of the speed at which heat will diffuse away from the three dimensional pixel. 3. The method of claim 1 wherein one of the parameters is the density of the three dimensional region surrounding said three dimensional pixel. 4. The method of claim 3 wherein the density is calculated in a sphere of fixed radius centred on the centre of the three dimensional pixel. 5. The method of claim 1 wherein one of the parameters is a weighted density calculated by integrating the mass at each radius, r, from the centre of the three dimensional pixel, wherein the mass at each value of r is weighted according to a distribution that is a function of r. 6. The method of claim 5 wherein the distribution is a Gaussian distribution centred on said three dimensional pixel. 7. The method of claim 1 wherein the calculating of the at least one parameter comprises determining an n-tuple of the parameter. 8. The method of claim 1 wherein the plurality of pixels comprises pixels of different sizes. 9. The method of claim 1 wherein the plurality of pixels are at a lower resolution than the resolution of the fabrication process. 10. The method claim 1, wherein calculating the at least one parameter is performed for each three dimensional pixel of the plurality of three dimensional pixels, with the at least one parameter being used to select at least one setting for use when fabricating each of said three dimensional pixels in the three dimensional object. 11. The method of claim 1, wherein calculating the at least one parameter is performed for a three dimensional pixel of the plurality of three dimensional pixels, with the at least one parameter being used to select the at least one setting for use when fabricating a plurality of three dimensional pixels in a predetermined neighbourhood of said three dimensional pixel in the three dimensional object. 12. An apparatus to fabricate a three dimensional object, the apparatus comprising:
a processing unit to model a three dimensional design of the three dimensional object as a plurality of three dimensional pixels; wherein for a three dimensional pixel, the processing unit calculates at least one parameter that relates to a three dimensional region surrounding said three dimensional pixel; and wherein the processing unit uses the at least one parameter to select at least one setting of the apparatus when fabricating said three dimensional pixel in the three dimensional object. 13. The apparatus of claim 12 wherein the settings relate to the three dimensional structure selected for the three dimensional pixel. 14. The apparatus of claim 12, wherein the processing unit determines, as the at least one parameter, an estimation of the speed at which heat will diffuse away from the three dimensional pixel, and/or the density of the three dimensional region surrounding said three dimensional pixel. 15. The apparatus of claim 12, wherein the processing unit determines a weighted density by integrating the mass at each radius, r, from the centre of the three dimensional pixel, wherein the mass at each value of r is weighted according to a distribution that is a function of r. | 2,100 |
5,893 | 5,893 | 15,387,106 | 2,182 | Disclosed herein are systems and methods for multi-architecture computing. For example, in some embodiments, a computing device may include: a processor system including at least one first processing core having a first instruction set architecture (ISA), and at least one second processing core having a second ISA different from the first ISA; and a memory device coupled to the processor system, wherein the memory device has stored thereon a first binary representation of a program for the first ISA and a second binary representation of the program for the second ISA, and the memory device has stored thereon data for the program having an in-memory representation compatible with both the first ISA and the second ISA. | 1. A computing device, comprising:
a first processing core having a first instruction set architecture (ISA); a second processing core having a second ISA different from the first ISA; a data translation processing device, different from the first processing core and the second processing core; and a bus coupled to the first processing core, the second processing core, and the data translation processing device; wherein the data translation processing device is to translate data structures compatible with the first ISA into data structures compatible with the second ISA. 2. The computing device of claim 1, wherein the data translation processing device is a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). 3. The computing device of claim 1, wherein the data translation processing device, the first processing core, and the second processing core are coupled to a same motherboard. 4. The computing device of claim 1, further comprising:
a first kernel operating on the first processing core; and a second kernel, different from the first kernel, operating on the second processing core. 5. The computing device of claim 4, further comprising:
interprocess communication (IPC) logic to send messages between the first kernel and the second kernel. 6. The computing device of claim 1, wherein the first ISA is a complex instruction set computing (CISC) architecture, and the second ISA is a reduced instruction set computing (RISC) architecture. 7. The computing device of claim 1, wherein the first ISA and the second ISA have different word sizes. 8. The computing device of claim 1, wherein the first ISA and the second ISA have different endianness. 9. The computing device of claim 1, further comprising:
scheduling logic to halt execution of a first binary representation operating on the first processing core and start execution of a second binary representation by the second processing core, wherein the first and second binary representation represent a same program. 10. The computing device of claim 1, wherein the first processing core and the second processing core share a coherent memory space. 11. One or more non-transitory computer readable media having instructions thereon that, in response to execution by one or more processing devices of a computing device, cause the computing device to:
receive an instruction to switch a program from execution on a first processing core to execution on a second processing core, wherein the first processing core has a first instruction set architecture (ISA) and the second processing core has an ISA different from the first ISA; and provide program data to a data translation processing device, different from the first processing core and the second processing core. 12. The one or more non-transitory computer readable media of claim 11, wherein the program data includes a checkpoint of the program. 13. The one or more non-transitory computer readable media of claim 11, wherein the program data includes a program stack. 14. The one or more non-transitory computer readable media of claim 11, wherein the data translation processing device is coupled to a same circuit board as the first processing core and the second processing core. 15. The one or more non-transitory computer readable media of claim 11, wherein a first operating system runs on the first processing core and a second operating system, different from the first operating system, runs on the second processing core. 16. The one or more non-transitory computer readable media of claim 15, wherein the first processing core and the second processing core share a memory space, and data translated by the data translation processing device is stored in the memory space. 17. A method of operating a computing device, comprising:
accessing program data from a memory, by a data translation processing device, wherein the program data represents the operation of the program on a first processing core having a first instruction set architecture (ISA); translating data structures in the program data, by the data translation processing device, from the format of the first ISA to a format of a second ISA different from the first ISA; and storing, by the data translation processing device, the translated data structures in the memory; wherein the data translation processing device is different from the first processing core and the second processing core. 18. The method of claim 17, wherein the data translation processing device is a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). 19. The method of claim 17, wherein translating data structures includes translating a word size or endianness. 20. The method of claim 17, wherein the memory is a coherent memory space for the first processing core and the second processing core. 21. A server system, comprising:
a plurality of servers, wherein individual servers include:
a first processing core having a first instruction set architecture (ISA),
a second processing core having a second ISA different from the first ISA, and
a data translation processing device, different from the first processing core and the second processing core, wherein the data translation processing device is coupled to a same circuit board as the first processing core and the second processing core,
a memory device, and
a bus coupling the first processing core, the second processing core, and the data translation processing device to the memory device,
wherein the data translation processing device is to translate data structures compatible with the first ISA into data structures compatible with the second ISA; and
a communication network coupling the plurality of servers. 22. The server system of claim 21, wherein individual servers further include:
a network interface to communicate with a client device via a computing network. 23. The server system of claim 21, wherein individual servers further include:
a baseboard management controller. 24. The server system of claim 21, wherein the data translation processing device is to translate data structures upon transfer of operation of a program from the first processing core to the second processing core, and upon transfer of operation of the program from the second processing core to the first processing core. 25. The server system of claim 24, wherein the program includes a virtual machine (VM), a container, or an application. | Disclosed herein are systems and methods for multi-architecture computing. For example, in some embodiments, a computing device may include: a processor system including at least one first processing core having a first instruction set architecture (ISA), and at least one second processing core having a second ISA different from the first ISA; and a memory device coupled to the processor system, wherein the memory device has stored thereon a first binary representation of a program for the first ISA and a second binary representation of the program for the second ISA, and the memory device has stored thereon data for the program having an in-memory representation compatible with both the first ISA and the second ISA.1. A computing device, comprising:
a first processing core having a first instruction set architecture (ISA); a second processing core having a second ISA different from the first ISA; a data translation processing device, different from the first processing core and the second processing core; and a bus coupled to the first processing core, the second processing core, and the data translation processing device; wherein the data translation processing device is to translate data structures compatible with the first ISA into data structures compatible with the second ISA. 2. The computing device of claim 1, wherein the data translation processing device is a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). 3. The computing device of claim 1, wherein the data translation processing device, the first processing core, and the second processing core are coupled to a same motherboard. 4. The computing device of claim 1, further comprising:
a first kernel operating on the first processing core; and a second kernel, different from the first kernel, operating on the second processing core. 5. The computing device of claim 4, further comprising:
interprocess communication (IPC) logic to send messages between the first kernel and the second kernel. 6. The computing device of claim 1, wherein the first ISA is a complex instruction set computing (CISC) architecture, and the second ISA is a reduced instruction set computing (RISC) architecture. 7. The computing device of claim 1, wherein the first ISA and the second ISA have different word sizes. 8. The computing device of claim 1, wherein the first ISA and the second ISA have different endianness. 9. The computing device of claim 1, further comprising:
scheduling logic to halt execution of a first binary representation operating on the first processing core and start execution of a second binary representation by the second processing core, wherein the first and second binary representation represent a same program. 10. The computing device of claim 1, wherein the first processing core and the second processing core share a coherent memory space. 11. One or more non-transitory computer readable media having instructions thereon that, in response to execution by one or more processing devices of a computing device, cause the computing device to:
receive an instruction to switch a program from execution on a first processing core to execution on a second processing core, wherein the first processing core has a first instruction set architecture (ISA) and the second processing core has an ISA different from the first ISA; and provide program data to a data translation processing device, different from the first processing core and the second processing core. 12. The one or more non-transitory computer readable media of claim 11, wherein the program data includes a checkpoint of the program. 13. The one or more non-transitory computer readable media of claim 11, wherein the program data includes a program stack. 14. The one or more non-transitory computer readable media of claim 11, wherein the data translation processing device is coupled to a same circuit board as the first processing core and the second processing core. 15. The one or more non-transitory computer readable media of claim 11, wherein a first operating system runs on the first processing core and a second operating system, different from the first operating system, runs on the second processing core. 16. The one or more non-transitory computer readable media of claim 15, wherein the first processing core and the second processing core share a memory space, and data translated by the data translation processing device is stored in the memory space. 17. A method of operating a computing device, comprising:
accessing program data from a memory, by a data translation processing device, wherein the program data represents the operation of the program on a first processing core having a first instruction set architecture (ISA); translating data structures in the program data, by the data translation processing device, from the format of the first ISA to a format of a second ISA different from the first ISA; and storing, by the data translation processing device, the translated data structures in the memory; wherein the data translation processing device is different from the first processing core and the second processing core. 18. The method of claim 17, wherein the data translation processing device is a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). 19. The method of claim 17, wherein translating data structures includes translating a word size or endianness. 20. The method of claim 17, wherein the memory is a coherent memory space for the first processing core and the second processing core. 21. A server system, comprising:
a plurality of servers, wherein individual servers include:
a first processing core having a first instruction set architecture (ISA),
a second processing core having a second ISA different from the first ISA, and
a data translation processing device, different from the first processing core and the second processing core, wherein the data translation processing device is coupled to a same circuit board as the first processing core and the second processing core,
a memory device, and
a bus coupling the first processing core, the second processing core, and the data translation processing device to the memory device,
wherein the data translation processing device is to translate data structures compatible with the first ISA into data structures compatible with the second ISA; and
a communication network coupling the plurality of servers. 22. The server system of claim 21, wherein individual servers further include:
a network interface to communicate with a client device via a computing network. 23. The server system of claim 21, wherein individual servers further include:
a baseboard management controller. 24. The server system of claim 21, wherein the data translation processing device is to translate data structures upon transfer of operation of a program from the first processing core to the second processing core, and upon transfer of operation of the program from the second processing core to the first processing core. 25. The server system of claim 24, wherein the program includes a virtual machine (VM), a container, or an application. | 2,100 |
5,894 | 5,894 | 13,283,908 | 2,137 | A first and a second computing environments are generated on a computer system based on a state of a logical storage unit of the computer system. The computing environments are associated with pieces of storage space located outside the logical storage unit. A write operation addressing the logical storage unit in one computing environment is directed to a piece of storage space associated with that computing environment. | 1. A method for providing a plurality of computing environments on a computer system, comprising:
generating a first computing environment associated with a first piece of storage space located outside a logical storage unit, wherein an initial state of the first computing environment is based on a state of the logical storage unit; generating a second computing environment associated with a second piece of storage space located outside the logical storage unit, wherein an initial state of the second computing environment is based on the state of the logical storage unit and matches the initial state of the first computing environment; and directing a write operation addressing the logical storage unit in the first computing environment to the first piece of storage space. 2. The method of claim 1, wherein the logical storage unit comprises a partition of a non-transitory computer-readable storage medium. 3. The method of claim 1, further comprising:
determining that the computer system is in the first computing environment, wherein the directing the write operation to the first piece of storage space is responsive to the determination; switching from the first computing environment to the second computing environment; and directing a second write operation addressing the logical storage unit in the second computing environment to the second piece of storage space without affecting the first computing environment. 3. The method of claim 1, further comprising:
allocating a sector of storage space in the first piece of storage space to store data of the write operation. 4. The method of claim 3, further comprising:
mapping the allocated sector of storage space to a sector in the logical storage unit identified in the write operation in a mapping table. 5. The method of claim 4, wherein directing the write operation is according to the mapping table. 6. The method of claim 1, further comprising:
generating on the first piece of storage space a snapshot of the first computing environment based at least in part on the first piece of storage space. 7. The method of claim 6, further comprising:
restoring the first computing environment based on the snapshot. 9. A non-transitory computer-readable storage medium having computer program instructions recorded thereon for providing a plurality of computing environments on a computer system, the computer program instructions comprising instructions for:
generating a first computing environment associated with a first piece of storage space located outside a logical storage unit, wherein an initial state of the first computing environment is based on a state of the logical storage unit; generating a second computing environment associated with a second piece of storage space located outside the logical storage unit, wherein an initial state of the second computing environment is based on the state of the logical storage unit and matches the initial state of the first computing environment; and directing a write operation addressing the logical storage unit in the first computing environment to the first piece of storage space. 10. The storage medium of claim 9, wherein the computer program instructions further comprises instructions for:
switching from the first computing environment to the second computing environment; and directing a second write operation addressing the logical storage unit in the second computing environment to the second piece of storage space without atThcting the first computing environment. 11. The storage medium of claim 9, wherein the computer program instructions further comprises instructions for:
allocating a sector of storage space in the first piece of storage space to store data of the write operation. 12. The storage medium of claim 11, wherein the computer program instructions further comprises instructions for:
mapping the allocated sector of storage space to a sector in the logical storage unit identified in the write operation in a mapping table. 13. The storage medium of claim 12, wherein directing the write operation is according to the mapping table. 14. The storage medium of claim 9, wherein the computer program instructions further comprises instructions for:
generating a snapshot of the first computing environment based at least in part on the first piece of storage space. 15. The storage medium of claim 14, wherein the computer program instructions further comprises instructions for:
restoring the first computing environment based on the snapshot. 16. The storage medium of claim 9, wherein the logical storage unit comprises a partition of a non-transitory computer-readable storage medium. 17. A computing system for providing a plurality of computing environments, comprising:
a configuration module configured to generate a first computing environment associated with a first piece of storage space located outside a logical storage unit, to generate a second computing environment associated with a second piece of storage space located outside the logical storage unit, wherein an initial state of the first computing environment is based on a state of the logical storage unit, and an initial state of the second computing environment is based on the state of the logical storage unit and matches the initial state of the first computing environment; and an input/output filter module configured to direct a write operation addressing the logical storage unit in the first computing environment to the first piece of storage space. 18. The computing system of claim 17, wherein the configuration module is further configured to switch from the first computing environment to the second computing environment, and the input/output filter module is further configured to direct a second write operation addressing the logical storage unit in the second computing environment to the second piece of storage space without affecting the first computing environment. 19. The computing system of claim 17, wherein the input/output filter module is further configured to allocate a sector of storage space in the first piece of storage space to store data of the write operation. 20. The computing system of claim 17, wherein the logical storage unit comprises a partition of a non-transitory computer-readable storage medium. | A first and a second computing environments are generated on a computer system based on a state of a logical storage unit of the computer system. The computing environments are associated with pieces of storage space located outside the logical storage unit. A write operation addressing the logical storage unit in one computing environment is directed to a piece of storage space associated with that computing environment.1. A method for providing a plurality of computing environments on a computer system, comprising:
generating a first computing environment associated with a first piece of storage space located outside a logical storage unit, wherein an initial state of the first computing environment is based on a state of the logical storage unit; generating a second computing environment associated with a second piece of storage space located outside the logical storage unit, wherein an initial state of the second computing environment is based on the state of the logical storage unit and matches the initial state of the first computing environment; and directing a write operation addressing the logical storage unit in the first computing environment to the first piece of storage space. 2. The method of claim 1, wherein the logical storage unit comprises a partition of a non-transitory computer-readable storage medium. 3. The method of claim 1, further comprising:
determining that the computer system is in the first computing environment, wherein the directing the write operation to the first piece of storage space is responsive to the determination; switching from the first computing environment to the second computing environment; and directing a second write operation addressing the logical storage unit in the second computing environment to the second piece of storage space without affecting the first computing environment. 3. The method of claim 1, further comprising:
allocating a sector of storage space in the first piece of storage space to store data of the write operation. 4. The method of claim 3, further comprising:
mapping the allocated sector of storage space to a sector in the logical storage unit identified in the write operation in a mapping table. 5. The method of claim 4, wherein directing the write operation is according to the mapping table. 6. The method of claim 1, further comprising:
generating on the first piece of storage space a snapshot of the first computing environment based at least in part on the first piece of storage space. 7. The method of claim 6, further comprising:
restoring the first computing environment based on the snapshot. 9. A non-transitory computer-readable storage medium having computer program instructions recorded thereon for providing a plurality of computing environments on a computer system, the computer program instructions comprising instructions for:
generating a first computing environment associated with a first piece of storage space located outside a logical storage unit, wherein an initial state of the first computing environment is based on a state of the logical storage unit; generating a second computing environment associated with a second piece of storage space located outside the logical storage unit, wherein an initial state of the second computing environment is based on the state of the logical storage unit and matches the initial state of the first computing environment; and directing a write operation addressing the logical storage unit in the first computing environment to the first piece of storage space. 10. The storage medium of claim 9, wherein the computer program instructions further comprises instructions for:
switching from the first computing environment to the second computing environment; and directing a second write operation addressing the logical storage unit in the second computing environment to the second piece of storage space without atThcting the first computing environment. 11. The storage medium of claim 9, wherein the computer program instructions further comprises instructions for:
allocating a sector of storage space in the first piece of storage space to store data of the write operation. 12. The storage medium of claim 11, wherein the computer program instructions further comprises instructions for:
mapping the allocated sector of storage space to a sector in the logical storage unit identified in the write operation in a mapping table. 13. The storage medium of claim 12, wherein directing the write operation is according to the mapping table. 14. The storage medium of claim 9, wherein the computer program instructions further comprises instructions for:
generating a snapshot of the first computing environment based at least in part on the first piece of storage space. 15. The storage medium of claim 14, wherein the computer program instructions further comprises instructions for:
restoring the first computing environment based on the snapshot. 16. The storage medium of claim 9, wherein the logical storage unit comprises a partition of a non-transitory computer-readable storage medium. 17. A computing system for providing a plurality of computing environments, comprising:
a configuration module configured to generate a first computing environment associated with a first piece of storage space located outside a logical storage unit, to generate a second computing environment associated with a second piece of storage space located outside the logical storage unit, wherein an initial state of the first computing environment is based on a state of the logical storage unit, and an initial state of the second computing environment is based on the state of the logical storage unit and matches the initial state of the first computing environment; and an input/output filter module configured to direct a write operation addressing the logical storage unit in the first computing environment to the first piece of storage space. 18. The computing system of claim 17, wherein the configuration module is further configured to switch from the first computing environment to the second computing environment, and the input/output filter module is further configured to direct a second write operation addressing the logical storage unit in the second computing environment to the second piece of storage space without affecting the first computing environment. 19. The computing system of claim 17, wherein the input/output filter module is further configured to allocate a sector of storage space in the first piece of storage space to store data of the write operation. 20. The computing system of claim 17, wherein the logical storage unit comprises a partition of a non-transitory computer-readable storage medium. | 2,100 |
5,895 | 5,895 | 15,698,175 | 2,156 | A system and method for providing search results is disclosed. One embodiment includes first presenting an image containing a product to a user and providing the user with a user interface for selecting the image, or a portion of the image associated with the product, from among several images. Search results are generated by searching for at least one characteristic based on one tag applied to the image or portion of the image in a database associated with a brand or designer identified in a second tag.
In another embodiment, a user is provided with an upload interface to upload and tag an image so that the image is tagged for use in generating and providing search results to an independent user. | 1. A computer-based method for providing search results to users comprising:
presenting at least one image containing at least one product at a user access terminal; providing a user interface at the user access terminal for a first user to select at least a portion of one image of the at least one image wherein the at least a portion is associated with a product shown in the selected at least a portion; accepting a selection from the first user of at least a portion of the one image; and presenting the first user with search results, wherein the at least a portion of the one image is associated with:
a first tag identifying a first characteristic of the product; and
at least one secondary tag identifying a second characteristic of the product in addition to the first characteristic,
and wherein the one image is drawn from a single image file stored in an image file format, and wherein the search results are generated by:
selecting a search database using the first tag; and
generating a search query for searching the search database based on the second characteristic; and
submitting the search query to the search database,
wherein the search query based on the second characteristic is optimized for the search database selected using the first tag. 2. The computer-based method of claim 1 further comprising:
providing an upload interface for a second user to upload an image; and
providing a tagging interface for the second user to tag the uploaded image,
wherein the second user applies tags to at least a portion of the uploaded image, the tags comprising:
a first tag identifying a first characteristic associated with the product; and
at least one secondary tag identifying a second characteristic of the product in addition to first characteristic,
wherein the uploaded image is one of the at least one image. 3. The computer-based method of claim 1 wherein the first characteristic is a brand or designer of the product, and the second characteristic is at least one of:
type;
style; and
color. 4. The computer-based method of claim 2 wherein all tags applied to a product are provided by the second user. 5. The computer-based method of claim 1 wherein multiple selectable portions of the at least one image are defined and each is associated with one product. 6. The computer-based method of claim 1 further comprising:
presenting an option to the first user to purchase a product indicated in the search results. 7. The computer-based method of claim 6 further comprising directing the first user to a website of the brand or designer of the product upon the selection of the option to purchase a product indicated in the search results. 8. The computer-based method of claim 6 wherein the search results comprise products similar to the product associated with the at least a portion of the at least one image. 9. The computer-based method of claim 2 wherein the second user is assigned points based on user activities in relation to photos uploaded and wherein the points are associated with brands or designers and are used for brand or designer promotions. 10. A computer-based method of presenting e-commerce products, comprising:
providing an upload interface to a first user for uploading at least one image containing at least one product to a website; providing a tagging interface to the first user for applying tags to products in uploaded images; applying tags indicated by the first user to uploaded images, the tags including, for each product for which tags are applied:
a first tag indicating a first characteristic of the product; and
at least one secondary tag indicating a second characteristic of the product in addition to the first characteristic,
providing a product selection interface to a second user for selecting a product for which tags are applied shown in an image uploaded to the website; and providing search results related to the first tag indicating the characteristic of the product provided in the at least one secondary tag from a search database selected based on the first tag, wherein distinct tags are applied to each of a plurality of products within a single image file stored in an image file format. 11. A computer system comprising:
at least one user access terminal capable of accessing a communications network; a host computer capable of accessing the communications network; and a database associated with the computer system, wherein the host computer comprises a computer-based processor and a computer-based memory storage, and is configured to:
present at least one image containing at least one product at a first user access terminal;
provide a user interface at the first user access terminal for a first user to select at least a portion of one of the at least one image wherein the at least a portion is associated with a product shown in the selected at least a portion;
accept a selection from the first user of at least a portion of the at least one image; and
present the first user with search results,
wherein the at least a portion of the at least one image is associated with:
a first tag identifying a first characteristic of the product; and
at least one secondary tag identifying a second characteristic of the product in addition to the first characteristic,
and wherein the search results are generated by:
selecting a search database using the first tag;
generating a search query for searching the search database based on the at least one secondary tag; and
submitting the search query to the search database,
wherein multiple products are shown in the at least one image and the image has multiple selectable portions corresponding to each of the multiple products,
wherein the search query based on the second characteristic is optimized for the search database selected using the first tag. 12. The computer system of claim 11, further comprising a second user access terminal, the host computer further configured to:
provide an upload interface for a second user at the second user access terminal to upload an image; and providing a tagging interface for the second user to tag the uploaded image, wherein the second user applies tags to at least a portion of the uploaded image, the tags comprising:
the first tag; and
the at least one secondary tag,
wherein the uploaded image is one of the at least one image. 13. The computer system of claim 11 wherein the second characteristic is at least one of:
type;
style; and
color. 14. The computer system of claim 12 wherein all tags applied to a product are provided by the second user. 15. The computer system of claim 11 wherein multiple selectable portions of the at least one image are defined and each is associated with one product. 16. The computer system of claim 11 the host computer further configured to:
present an option to the first user to purchase a product indicated in the search results. 17. The computer system of claim 16, the host computer further configured to direct the first user to a website of the brand or designer of the product upon the selection of the option to purchase a product indicated in the search results. 18. The computer system of claim 12 wherein the second user is assigned points based on user activities in relation to photos uploaded and wherein the points are associated with brands or designers and are used for brand or designer promotions. | A system and method for providing search results is disclosed. One embodiment includes first presenting an image containing a product to a user and providing the user with a user interface for selecting the image, or a portion of the image associated with the product, from among several images. Search results are generated by searching for at least one characteristic based on one tag applied to the image or portion of the image in a database associated with a brand or designer identified in a second tag.
In another embodiment, a user is provided with an upload interface to upload and tag an image so that the image is tagged for use in generating and providing search results to an independent user.1. A computer-based method for providing search results to users comprising:
presenting at least one image containing at least one product at a user access terminal; providing a user interface at the user access terminal for a first user to select at least a portion of one image of the at least one image wherein the at least a portion is associated with a product shown in the selected at least a portion; accepting a selection from the first user of at least a portion of the one image; and presenting the first user with search results, wherein the at least a portion of the one image is associated with:
a first tag identifying a first characteristic of the product; and
at least one secondary tag identifying a second characteristic of the product in addition to the first characteristic,
and wherein the one image is drawn from a single image file stored in an image file format, and wherein the search results are generated by:
selecting a search database using the first tag; and
generating a search query for searching the search database based on the second characteristic; and
submitting the search query to the search database,
wherein the search query based on the second characteristic is optimized for the search database selected using the first tag. 2. The computer-based method of claim 1 further comprising:
providing an upload interface for a second user to upload an image; and
providing a tagging interface for the second user to tag the uploaded image,
wherein the second user applies tags to at least a portion of the uploaded image, the tags comprising:
a first tag identifying a first characteristic associated with the product; and
at least one secondary tag identifying a second characteristic of the product in addition to first characteristic,
wherein the uploaded image is one of the at least one image. 3. The computer-based method of claim 1 wherein the first characteristic is a brand or designer of the product, and the second characteristic is at least one of:
type;
style; and
color. 4. The computer-based method of claim 2 wherein all tags applied to a product are provided by the second user. 5. The computer-based method of claim 1 wherein multiple selectable portions of the at least one image are defined and each is associated with one product. 6. The computer-based method of claim 1 further comprising:
presenting an option to the first user to purchase a product indicated in the search results. 7. The computer-based method of claim 6 further comprising directing the first user to a website of the brand or designer of the product upon the selection of the option to purchase a product indicated in the search results. 8. The computer-based method of claim 6 wherein the search results comprise products similar to the product associated with the at least a portion of the at least one image. 9. The computer-based method of claim 2 wherein the second user is assigned points based on user activities in relation to photos uploaded and wherein the points are associated with brands or designers and are used for brand or designer promotions. 10. A computer-based method of presenting e-commerce products, comprising:
providing an upload interface to a first user for uploading at least one image containing at least one product to a website; providing a tagging interface to the first user for applying tags to products in uploaded images; applying tags indicated by the first user to uploaded images, the tags including, for each product for which tags are applied:
a first tag indicating a first characteristic of the product; and
at least one secondary tag indicating a second characteristic of the product in addition to the first characteristic,
providing a product selection interface to a second user for selecting a product for which tags are applied shown in an image uploaded to the website; and providing search results related to the first tag indicating the characteristic of the product provided in the at least one secondary tag from a search database selected based on the first tag, wherein distinct tags are applied to each of a plurality of products within a single image file stored in an image file format. 11. A computer system comprising:
at least one user access terminal capable of accessing a communications network; a host computer capable of accessing the communications network; and a database associated with the computer system, wherein the host computer comprises a computer-based processor and a computer-based memory storage, and is configured to:
present at least one image containing at least one product at a first user access terminal;
provide a user interface at the first user access terminal for a first user to select at least a portion of one of the at least one image wherein the at least a portion is associated with a product shown in the selected at least a portion;
accept a selection from the first user of at least a portion of the at least one image; and
present the first user with search results,
wherein the at least a portion of the at least one image is associated with:
a first tag identifying a first characteristic of the product; and
at least one secondary tag identifying a second characteristic of the product in addition to the first characteristic,
and wherein the search results are generated by:
selecting a search database using the first tag;
generating a search query for searching the search database based on the at least one secondary tag; and
submitting the search query to the search database,
wherein multiple products are shown in the at least one image and the image has multiple selectable portions corresponding to each of the multiple products,
wherein the search query based on the second characteristic is optimized for the search database selected using the first tag. 12. The computer system of claim 11, further comprising a second user access terminal, the host computer further configured to:
provide an upload interface for a second user at the second user access terminal to upload an image; and providing a tagging interface for the second user to tag the uploaded image, wherein the second user applies tags to at least a portion of the uploaded image, the tags comprising:
the first tag; and
the at least one secondary tag,
wherein the uploaded image is one of the at least one image. 13. The computer system of claim 11 wherein the second characteristic is at least one of:
type;
style; and
color. 14. The computer system of claim 12 wherein all tags applied to a product are provided by the second user. 15. The computer system of claim 11 wherein multiple selectable portions of the at least one image are defined and each is associated with one product. 16. The computer system of claim 11 the host computer further configured to:
present an option to the first user to purchase a product indicated in the search results. 17. The computer system of claim 16, the host computer further configured to direct the first user to a website of the brand or designer of the product upon the selection of the option to purchase a product indicated in the search results. 18. The computer system of claim 12 wherein the second user is assigned points based on user activities in relation to photos uploaded and wherein the points are associated with brands or designers and are used for brand or designer promotions. | 2,100 |
5,896 | 5,896 | 14,513,822 | 2,142 | A method and system of configuring a network using a network application of a mobile device including detecting a gesture sequence that comprises at least one gesture, in response to a user performed action. The detected gesture sequence may be indicative of network configuration rules associated with at least one network device. The method may further include receiving and storing network access credentials, and accessing a network configuration database. The network configuration database may comprise a plurality of gesture sequences and a plurality of associated tasks. The method may also include determining a match for the detected gesture sequence among the plurality of gesture sequences; determining an associated task based on the match; and performing the associated task to achieve the network configuration action. The associated task may include a network configuration action based on the network configuration rules associated with at least one network device. | 1. A method of configuring a network using a mobile device comprising:
by a network application of the mobile device, detecting a gesture sequence that comprises at least one gesture, in response to at least one user performed action, wherein the detected gesture sequence is indicative of network configuration rules associated with at least one network device; by the network application, receiving and storing network access credentials; by the network application, accessing a network configuration database wherein the network configuration database comprises a plurality of gesture sequences and a plurality of associated tasks; determining, via the network application, a match for the detected gesture sequence among the plurality of gesture sequences; determining, via the network application based on the match, an associated task, wherein the associated task comprises a network configuration action based on the network configuration rules associated with the at least one network device; and performing the associated task to achieve the network configuration action. 2. The method of claim 1, further comprising installing the network application on the mobile device. 3. The method of claim 1, further comprising prompting a user to define and input one or more gesture sequences and associated tasks; and
updating the network configuration database to include the received gesture sequences and associated tasks. 4. The method of claim 1, wherein detecting a gesture sequence comprises detecting the at least one gesture using one or more sensors of the mobile device, wherein the at least one gesture is indicative of a motion of the mobile device. 5. The method of claim 1, further comprising connecting the mobile device to the network via a wireless access point, wherein connecting the mobile device to the network via the wireless access point comprises detecting a primary gesture sequence, wherein the primary gesture sequence indicates to the network application to perform at least one of the following:
configuring the mobile device; configuring the wireless access point; and connecting the mobile device to the network. 6. The method of claim 1, wherein performing the associated task comprises performing one or more of the following actions:
identifying the at least one network device; identifying characteristics of the at least one network device; authorizing network access and defining a level of access; and configuring the at least one network device and a wireless access point to facilitate network configuration. 7. The method of claim 1, wherein detecting the gesture sequence comprises detecting a motion of the mobile device based on one or more of the following user performed actions:
a tap; a shake; a change in orientation; and a relative motion. 8. The method of claim 1, further comprising outputting, via a user interface, an indication of the status of the associated task. 9. The method of claim 1, further comprising storing the first network configuration and automatically applying the first network configuration in response to detecting a gesture sequence. 10. The method of claim 1, wherein detecting the gesture sequence comprises detecting one or more of the following:
proximity of the mobile device to another device; a predetermined time; power on status of the mobile device; and completion of a predetermined activity on the at least one network device. 11. The method of claim 1, wherein the detected gesture sequence includes detecting proximity between the mobile device and a network device followed by detecting proximity between the mobile device and a wireless access point, and wherein performing the associated task to achieve the network configuration action comprises pairing the network device to the wireless access point. 12. A system for configuring a network using a mobile device comprising:
a non-transitory, computer readable memory; one or more processors; and a computer-readable medium containing programming instructions that, when executed by the one or more processors, cause the system to: by a network application of the mobile device, detect a gesture sequence that comprises at least one gesture, in response to at least one user performed action, wherein the detected gesture sequence is indicative of network configuration rules associated with at least one network device; by the network application, receive and store network access credentials; by the network application, access a network configuration database wherein the network configuration database comprises a plurality of gesture sequences and a plurality of associated tasks; determine, via the network application, a match for the detected gesture sequence among the plurality of gesture sequences; determine, via the network application based on the match, an associated task, wherein the associated task comprises a network configuration action based on the network configuration rules associated with the at least one network device; and perform the associated task to achieve the network configuration action. 13. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to install the network application on the mobile device. 14. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to:
prompt a user to define and input one or more gesture sequences and associated tasks; and update the network configuration database to include the received gesture sequences and associated tasks. 15. The system of claim 12, wherein detecting a gesture sequence comprises detecting the at least one gesture using one or more sensors of the mobile device, wherein the at least one gesture is indicative of a motion of the mobile device. 16. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to connect the mobile device to the network via a wireless access point,
wherein the programming instructions to connect the mobile device to the network via the wireless access point further comprise programming instructions to detect a primary gesture sequence, and wherein the primary gesture sequence indicates to the network application to perform at least one of the following:
configure the mobile device;
configure the wireless access point; and
connect the mobile device to the network. 17. The system of claim 12, wherein performing the associated task comprises performing one or more of the following actions:
identifying the at least one network device; identifying characteristics of the at least one network device; authorizing network access and defining a level of access; and configuring the at least one network device and a wireless access point to facilitate network configuration. 18. The system of claim 12, wherein detecting the gesture sequence comprises detecting a motion of the mobile device based on one or more of the following user performed actions:
a tap; a shake; a change in orientation; and a relative motion. 19. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to output, via a user interface, an indication of the status of the associated task. 20. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to store the first network configuration and automatically apply the first network configuration in response to detecting a gesture sequence. 21. The system of claim 12, wherein detecting the gesture sequence comprises detecting one or more of the following:
proximity of the mobile device to another device; a predetermined time; power on status of the mobile device; and completion of a predetermined activity on the at least one network device. 22. The system of claim 12, wherein the detected gesture sequence includes detecting proximity between the mobile device and a network device followed by detecting proximity between the mobile device and a wireless access point, and wherein performing the associated task to achieve the network configuration action comprises pairing the network device to the wireless access point. 23. A method of configuring a print device using a mobile device comprising:
by a network application of the mobile device, detecting a gesture sequence that comprises at least one gesture, in response to at least one user performed action, wherein the detected gesture sequence is indicative of print device configuration rules associated with at least one print device; by the network application, receiving and storing print device access credentials; by the network application, accessing a network configuration database wherein the network configuration database comprises a plurality of gesture sequences and a plurality of associated tasks; determining, via the network application, a match for the detected gesture sequence among the plurality of gesture sequences; determining, via the network application based on the match, an associated task, wherein the associated task comprises a print device configuration action based on the print device configuration rules associated with the at least one print device; and performing the associated task to achieve the print device configuration action. 24. The method of claim 23, further comprising transmitting a print document to the print device, from the mobile device, wherein transmitting the print document to the print device comprises detecting a primary gesture sequence, wherein the primary gesture sequence indicates to the network application to perform at least one of the following:
configuring the mobile device; connecting the mobile device to the print device; or transmitting the print document to the print device, from the mobile device. | A method and system of configuring a network using a network application of a mobile device including detecting a gesture sequence that comprises at least one gesture, in response to a user performed action. The detected gesture sequence may be indicative of network configuration rules associated with at least one network device. The method may further include receiving and storing network access credentials, and accessing a network configuration database. The network configuration database may comprise a plurality of gesture sequences and a plurality of associated tasks. The method may also include determining a match for the detected gesture sequence among the plurality of gesture sequences; determining an associated task based on the match; and performing the associated task to achieve the network configuration action. The associated task may include a network configuration action based on the network configuration rules associated with at least one network device.1. A method of configuring a network using a mobile device comprising:
by a network application of the mobile device, detecting a gesture sequence that comprises at least one gesture, in response to at least one user performed action, wherein the detected gesture sequence is indicative of network configuration rules associated with at least one network device; by the network application, receiving and storing network access credentials; by the network application, accessing a network configuration database wherein the network configuration database comprises a plurality of gesture sequences and a plurality of associated tasks; determining, via the network application, a match for the detected gesture sequence among the plurality of gesture sequences; determining, via the network application based on the match, an associated task, wherein the associated task comprises a network configuration action based on the network configuration rules associated with the at least one network device; and performing the associated task to achieve the network configuration action. 2. The method of claim 1, further comprising installing the network application on the mobile device. 3. The method of claim 1, further comprising prompting a user to define and input one or more gesture sequences and associated tasks; and
updating the network configuration database to include the received gesture sequences and associated tasks. 4. The method of claim 1, wherein detecting a gesture sequence comprises detecting the at least one gesture using one or more sensors of the mobile device, wherein the at least one gesture is indicative of a motion of the mobile device. 5. The method of claim 1, further comprising connecting the mobile device to the network via a wireless access point, wherein connecting the mobile device to the network via the wireless access point comprises detecting a primary gesture sequence, wherein the primary gesture sequence indicates to the network application to perform at least one of the following:
configuring the mobile device; configuring the wireless access point; and connecting the mobile device to the network. 6. The method of claim 1, wherein performing the associated task comprises performing one or more of the following actions:
identifying the at least one network device; identifying characteristics of the at least one network device; authorizing network access and defining a level of access; and configuring the at least one network device and a wireless access point to facilitate network configuration. 7. The method of claim 1, wherein detecting the gesture sequence comprises detecting a motion of the mobile device based on one or more of the following user performed actions:
a tap; a shake; a change in orientation; and a relative motion. 8. The method of claim 1, further comprising outputting, via a user interface, an indication of the status of the associated task. 9. The method of claim 1, further comprising storing the first network configuration and automatically applying the first network configuration in response to detecting a gesture sequence. 10. The method of claim 1, wherein detecting the gesture sequence comprises detecting one or more of the following:
proximity of the mobile device to another device; a predetermined time; power on status of the mobile device; and completion of a predetermined activity on the at least one network device. 11. The method of claim 1, wherein the detected gesture sequence includes detecting proximity between the mobile device and a network device followed by detecting proximity between the mobile device and a wireless access point, and wherein performing the associated task to achieve the network configuration action comprises pairing the network device to the wireless access point. 12. A system for configuring a network using a mobile device comprising:
a non-transitory, computer readable memory; one or more processors; and a computer-readable medium containing programming instructions that, when executed by the one or more processors, cause the system to: by a network application of the mobile device, detect a gesture sequence that comprises at least one gesture, in response to at least one user performed action, wherein the detected gesture sequence is indicative of network configuration rules associated with at least one network device; by the network application, receive and store network access credentials; by the network application, access a network configuration database wherein the network configuration database comprises a plurality of gesture sequences and a plurality of associated tasks; determine, via the network application, a match for the detected gesture sequence among the plurality of gesture sequences; determine, via the network application based on the match, an associated task, wherein the associated task comprises a network configuration action based on the network configuration rules associated with the at least one network device; and perform the associated task to achieve the network configuration action. 13. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to install the network application on the mobile device. 14. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to:
prompt a user to define and input one or more gesture sequences and associated tasks; and update the network configuration database to include the received gesture sequences and associated tasks. 15. The system of claim 12, wherein detecting a gesture sequence comprises detecting the at least one gesture using one or more sensors of the mobile device, wherein the at least one gesture is indicative of a motion of the mobile device. 16. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to connect the mobile device to the network via a wireless access point,
wherein the programming instructions to connect the mobile device to the network via the wireless access point further comprise programming instructions to detect a primary gesture sequence, and wherein the primary gesture sequence indicates to the network application to perform at least one of the following:
configure the mobile device;
configure the wireless access point; and
connect the mobile device to the network. 17. The system of claim 12, wherein performing the associated task comprises performing one or more of the following actions:
identifying the at least one network device; identifying characteristics of the at least one network device; authorizing network access and defining a level of access; and configuring the at least one network device and a wireless access point to facilitate network configuration. 18. The system of claim 12, wherein detecting the gesture sequence comprises detecting a motion of the mobile device based on one or more of the following user performed actions:
a tap; a shake; a change in orientation; and a relative motion. 19. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to output, via a user interface, an indication of the status of the associated task. 20. The system of claim 12, further comprising programming instructions that when executed by the one or more processors, cause the system to store the first network configuration and automatically apply the first network configuration in response to detecting a gesture sequence. 21. The system of claim 12, wherein detecting the gesture sequence comprises detecting one or more of the following:
proximity of the mobile device to another device; a predetermined time; power on status of the mobile device; and completion of a predetermined activity on the at least one network device. 22. The system of claim 12, wherein the detected gesture sequence includes detecting proximity between the mobile device and a network device followed by detecting proximity between the mobile device and a wireless access point, and wherein performing the associated task to achieve the network configuration action comprises pairing the network device to the wireless access point. 23. A method of configuring a print device using a mobile device comprising:
by a network application of the mobile device, detecting a gesture sequence that comprises at least one gesture, in response to at least one user performed action, wherein the detected gesture sequence is indicative of print device configuration rules associated with at least one print device; by the network application, receiving and storing print device access credentials; by the network application, accessing a network configuration database wherein the network configuration database comprises a plurality of gesture sequences and a plurality of associated tasks; determining, via the network application, a match for the detected gesture sequence among the plurality of gesture sequences; determining, via the network application based on the match, an associated task, wherein the associated task comprises a print device configuration action based on the print device configuration rules associated with the at least one print device; and performing the associated task to achieve the print device configuration action. 24. The method of claim 23, further comprising transmitting a print document to the print device, from the mobile device, wherein transmitting the print document to the print device comprises detecting a primary gesture sequence, wherein the primary gesture sequence indicates to the network application to perform at least one of the following:
configuring the mobile device; connecting the mobile device to the print device; or transmitting the print document to the print device, from the mobile device. | 2,100 |
5,897 | 5,897 | 15,378,406 | 2,186 | Technologies are described which permit kernel updates or firmware fixes, and include re-initialization of kernel data structures, without losing user context information that has been created by services, virtual machines, or user applications. Tailored code in a server or other computing system sets a kernel soft reset (KSR) indicator and saves the user context to non-volatile storage. When a KSR is underway, boot code skips the power on self-test and similar initializations (thereby reducing downtime), loads a kernel image, initializes kernel data structures, restores the user context, and passes control to the initialized kernel to continue computing system operation with the same user context. Device drivers may also be re-initialized. The loaded kernel may use newly fixed firmware, or may have a security patch installed, for instance. The non-volatile storage may operate at RAM speed, e.g., it may include NVDIMM memory. The kernel may be validated before receiving control. | 1. A computing system which supports a kernel soft reset for updating a kernel without losing user context, the system comprising:
a kernel image A; a user context generated during operation of the system under control of kernel image A; a kernel image B which differs from kernel image A; at least one processor; an operating memory in operable communication with the processor, the operating memory including volatile random access memory (RAM) and containing the user context and at least a portion of the kernel image A; a kernel reset memory, the kernel reset memory including non-volatile storage containing the kernel image B; a kernel soft reset indicator; and boot software including code which upon execution checks the kernel soft reset indicator, and when the kernel soft reset indicator indicates a kernel soft reset is underway the code (a) loads the kernel image B from the kernel reset memory into the operating memory, (b) initializes kernel data structures of the kernel image B, and (c) passes control to the initialized kernel image B to continue operation of the system with the same user context under control of kernel image B rather than under control of kernel image A, and when the kernel soft reset indicator indicates a kernel soft reset is not underway the code does not pass control to kernel image B to continue operation of the system with the same user context. 2. The computing system of claim 1, wherein the kernel soft reset indicator comprises at least one of the following: a flag stored on a hard disk, a flag in a platform communication channel shared memory region, an advanced configuration and power interface flag. 3. The computing system of claim 1, wherein the boot software comprises at least one of the following: basic input/output (BIOS) software, unified extensible firmware interface (UEFI) software. 4. The computing system of claim 1, wherein the computing system comprises at least one of the following: a server computer, a cloud server, a datacenter server, a server configured to run multiple virtual machines, a smartphone, a tablet, a laptop, a desktop, a workstation, a video gaming system, a virtual reality system, an augmented reality system, a vehicle, an automated manufacturing system, a process control system, a robotic system, an embedded system. 5. The computing system of claim 1, wherein the kernel reset memory further comprises a non-volatile storage containing a copy of the user context, and the boot software further includes code which upon execution copies the user context from the kernel reset memory into the operating memory after loading the kernel image B from the kernel reset memory into the operating memory and before continuing operation of the system with the same user context under control of the initialized kernel image B. 6. The computing system of claim 5, wherein the kernel reset memory containing a copy of the user context comprises at least one of the following: NVDIMM-F memory, NVDIMM-N memory, NVDIMM-P memory, NVDIMM-SW memory, NVRAM memory. 7. The computing system of claim 1, wherein the boot software further includes code which performs a validation test on at least one of the following: the kernel image B, a copy of the user context. 8. The computing system of claim 1, wherein the kernel image B differs from the kernel image A with regard to at least one of the following characteristics: security, efficiency, correctness, usability, size, connectivity. 9. A kernel soft reset method comprising:
boot software of a device checking a kernel soft reset indicator; upon finding that the kernel soft reset indicator indicates a kernel soft reset is underway, loading a kernel image B into an operating memory of the device; initializing kernel data structures of the loaded kernel image B; passing control to the initialized kernel image B; and executing at least a portion of at least one user program in a user context on top of the initialized kernel image B, the user context previously created during operation of the device under the control of a kernel image A; whereby the method updates the device from kernel image A to kernel image B without losing the user context and with values updated in kernel data structures. 10. The kernel soft reset method of claim 9, further comprising validating the kernel image B before passing control to the initialized kernel image B. 11. The kernel soft reset method of claim 9,
wherein the method further comprises the following performed prior to the boot software of the device checking the kernel soft reset indicator: saving a copy of the user context created under kernel image A to a non-volatile storage, and setting the kernel soft reset indicator to indicate a kernel soft reset is underway; and wherein the method further comprises the following performed prior to passing control to the initialized kernel image B: restoring the user context from the non-volatile storage to the operating memory. 12. The kernel soft reset method of claim 9, wherein the method avoids performing a power on self-test that is performed during a cold boot of the device. 13. The kernel soft reset method of claim 9, wherein an elapsed time from a reset command to when the method passes control to initialized kernel image B is not more than 70% of an elapsed time from a powered-off state to perform a cold boot of the device which passes control to initialized kernel image B. 14. The kernel soft reset method of claim 9, wherein the method comprises at least one of the following:
applying a security patch to produce kernel image B from kernel image A; applying a fix to firmware of the device and using kernel image A as kernel image B; or changing a platform policy which is associated with at least one chipset sticky register. 15. The kernel soft reset method of claim 9, wherein the method comprises at least one of the following:
avoiding reinitializing a service by preserving or restoring the user context when passing to kernel image B in place of kernel image A; avoiding reinitializing a virtual machine by preserving or restoring the user context when passing to kernel image B in place of kernel image A; avoiding reinitializing an application by preserving or restoring the user context when passing to kernel image B in place of kernel image A. 16. A server in a data center or a cloud computing facility, the server comprising:
a kernel image A; a user context generated during operation of the server under control of kernel image A; a kernel image B; at least one processor; an operating memory in operable communication with the processor, the operating memory including volatile random access memory (RAM) and containing the user context and at least a portion of the kernel image A; a kernel reset memory, the kernel reset memory including non-volatile storage containing the kernel image B; a kernel soft reset indicator which comprises at least one of the following: a flag stored on a hard disk, a flag in a platform communication channel shared memory region, an advanced configuration and power interface flag; and boot software which comprises basic input/output (BIOS) software or unified extensible firmware interface (UEFI) software or both, the boot software including code which upon execution checks the kernel soft reset indicator, and when the kernel soft reset indicator indicates a kernel soft reset is underway the code (a) loads the kernel image B from the kernel reset memory into the operating memory, (b) initializes kernel data structures in the kernel image B, and (c) passes control to the initialized kernel image B to continue operation of the server with the same user context under control of kernel image B, and when the kernel soft reset indicator indicates a kernel soft reset is not underway the code does not pass control to kernel image B to continue operation of the system with the same user context. 17. The server of claim 16, wherein the kernel reset memory non-volatile storage comprises NVDIMM or NVRAM memory or both, and the boot software further includes code which upon execution copies the user context from the kernel reset memory non-volatile storage into the operating memory after loading the kernel image B from the kernel reset memory into the operating memory and before continuing operation of the system with the same user context under control of the initialized kernel image B. 18. The server of claim 16, wherein at least two of the following characterizations are correct:
kernel image B differs from kernel image A by a security patch; kernel image B is at most 90% the size on disk of kernel image A; kernel image B includes code which corrects a bug present in kernel image A; a fix was applied to firmware of the server after creation of the user context and prior to passage of control to the initialized kernel image B; kernel image B differs from kernel image A at most in kernel initialization or driver initialization or both; the user context includes an initialized service; the user context includes an initialized virtual machine; the user context includes an initialized application; an elapsed time from a reset command to when control passes to initialized kernel image B without performing a power on self-test is not more than 65% of an elapsed time from a powered-off state to perform a cold boot of the server which passes control to initialized kernel image B after a power on self-test. 19. The server of claim 18, wherein at least three of the characterizations are correct. 20. The server of claim 18, wherein at least five of the characterizations are correct. | Technologies are described which permit kernel updates or firmware fixes, and include re-initialization of kernel data structures, without losing user context information that has been created by services, virtual machines, or user applications. Tailored code in a server or other computing system sets a kernel soft reset (KSR) indicator and saves the user context to non-volatile storage. When a KSR is underway, boot code skips the power on self-test and similar initializations (thereby reducing downtime), loads a kernel image, initializes kernel data structures, restores the user context, and passes control to the initialized kernel to continue computing system operation with the same user context. Device drivers may also be re-initialized. The loaded kernel may use newly fixed firmware, or may have a security patch installed, for instance. The non-volatile storage may operate at RAM speed, e.g., it may include NVDIMM memory. The kernel may be validated before receiving control.1. A computing system which supports a kernel soft reset for updating a kernel without losing user context, the system comprising:
a kernel image A; a user context generated during operation of the system under control of kernel image A; a kernel image B which differs from kernel image A; at least one processor; an operating memory in operable communication with the processor, the operating memory including volatile random access memory (RAM) and containing the user context and at least a portion of the kernel image A; a kernel reset memory, the kernel reset memory including non-volatile storage containing the kernel image B; a kernel soft reset indicator; and boot software including code which upon execution checks the kernel soft reset indicator, and when the kernel soft reset indicator indicates a kernel soft reset is underway the code (a) loads the kernel image B from the kernel reset memory into the operating memory, (b) initializes kernel data structures of the kernel image B, and (c) passes control to the initialized kernel image B to continue operation of the system with the same user context under control of kernel image B rather than under control of kernel image A, and when the kernel soft reset indicator indicates a kernel soft reset is not underway the code does not pass control to kernel image B to continue operation of the system with the same user context. 2. The computing system of claim 1, wherein the kernel soft reset indicator comprises at least one of the following: a flag stored on a hard disk, a flag in a platform communication channel shared memory region, an advanced configuration and power interface flag. 3. The computing system of claim 1, wherein the boot software comprises at least one of the following: basic input/output (BIOS) software, unified extensible firmware interface (UEFI) software. 4. The computing system of claim 1, wherein the computing system comprises at least one of the following: a server computer, a cloud server, a datacenter server, a server configured to run multiple virtual machines, a smartphone, a tablet, a laptop, a desktop, a workstation, a video gaming system, a virtual reality system, an augmented reality system, a vehicle, an automated manufacturing system, a process control system, a robotic system, an embedded system. 5. The computing system of claim 1, wherein the kernel reset memory further comprises a non-volatile storage containing a copy of the user context, and the boot software further includes code which upon execution copies the user context from the kernel reset memory into the operating memory after loading the kernel image B from the kernel reset memory into the operating memory and before continuing operation of the system with the same user context under control of the initialized kernel image B. 6. The computing system of claim 5, wherein the kernel reset memory containing a copy of the user context comprises at least one of the following: NVDIMM-F memory, NVDIMM-N memory, NVDIMM-P memory, NVDIMM-SW memory, NVRAM memory. 7. The computing system of claim 1, wherein the boot software further includes code which performs a validation test on at least one of the following: the kernel image B, a copy of the user context. 8. The computing system of claim 1, wherein the kernel image B differs from the kernel image A with regard to at least one of the following characteristics: security, efficiency, correctness, usability, size, connectivity. 9. A kernel soft reset method comprising:
boot software of a device checking a kernel soft reset indicator; upon finding that the kernel soft reset indicator indicates a kernel soft reset is underway, loading a kernel image B into an operating memory of the device; initializing kernel data structures of the loaded kernel image B; passing control to the initialized kernel image B; and executing at least a portion of at least one user program in a user context on top of the initialized kernel image B, the user context previously created during operation of the device under the control of a kernel image A; whereby the method updates the device from kernel image A to kernel image B without losing the user context and with values updated in kernel data structures. 10. The kernel soft reset method of claim 9, further comprising validating the kernel image B before passing control to the initialized kernel image B. 11. The kernel soft reset method of claim 9,
wherein the method further comprises the following performed prior to the boot software of the device checking the kernel soft reset indicator: saving a copy of the user context created under kernel image A to a non-volatile storage, and setting the kernel soft reset indicator to indicate a kernel soft reset is underway; and wherein the method further comprises the following performed prior to passing control to the initialized kernel image B: restoring the user context from the non-volatile storage to the operating memory. 12. The kernel soft reset method of claim 9, wherein the method avoids performing a power on self-test that is performed during a cold boot of the device. 13. The kernel soft reset method of claim 9, wherein an elapsed time from a reset command to when the method passes control to initialized kernel image B is not more than 70% of an elapsed time from a powered-off state to perform a cold boot of the device which passes control to initialized kernel image B. 14. The kernel soft reset method of claim 9, wherein the method comprises at least one of the following:
applying a security patch to produce kernel image B from kernel image A; applying a fix to firmware of the device and using kernel image A as kernel image B; or changing a platform policy which is associated with at least one chipset sticky register. 15. The kernel soft reset method of claim 9, wherein the method comprises at least one of the following:
avoiding reinitializing a service by preserving or restoring the user context when passing to kernel image B in place of kernel image A; avoiding reinitializing a virtual machine by preserving or restoring the user context when passing to kernel image B in place of kernel image A; avoiding reinitializing an application by preserving or restoring the user context when passing to kernel image B in place of kernel image A. 16. A server in a data center or a cloud computing facility, the server comprising:
a kernel image A; a user context generated during operation of the server under control of kernel image A; a kernel image B; at least one processor; an operating memory in operable communication with the processor, the operating memory including volatile random access memory (RAM) and containing the user context and at least a portion of the kernel image A; a kernel reset memory, the kernel reset memory including non-volatile storage containing the kernel image B; a kernel soft reset indicator which comprises at least one of the following: a flag stored on a hard disk, a flag in a platform communication channel shared memory region, an advanced configuration and power interface flag; and boot software which comprises basic input/output (BIOS) software or unified extensible firmware interface (UEFI) software or both, the boot software including code which upon execution checks the kernel soft reset indicator, and when the kernel soft reset indicator indicates a kernel soft reset is underway the code (a) loads the kernel image B from the kernel reset memory into the operating memory, (b) initializes kernel data structures in the kernel image B, and (c) passes control to the initialized kernel image B to continue operation of the server with the same user context under control of kernel image B, and when the kernel soft reset indicator indicates a kernel soft reset is not underway the code does not pass control to kernel image B to continue operation of the system with the same user context. 17. The server of claim 16, wherein the kernel reset memory non-volatile storage comprises NVDIMM or NVRAM memory or both, and the boot software further includes code which upon execution copies the user context from the kernel reset memory non-volatile storage into the operating memory after loading the kernel image B from the kernel reset memory into the operating memory and before continuing operation of the system with the same user context under control of the initialized kernel image B. 18. The server of claim 16, wherein at least two of the following characterizations are correct:
kernel image B differs from kernel image A by a security patch; kernel image B is at most 90% the size on disk of kernel image A; kernel image B includes code which corrects a bug present in kernel image A; a fix was applied to firmware of the server after creation of the user context and prior to passage of control to the initialized kernel image B; kernel image B differs from kernel image A at most in kernel initialization or driver initialization or both; the user context includes an initialized service; the user context includes an initialized virtual machine; the user context includes an initialized application; an elapsed time from a reset command to when control passes to initialized kernel image B without performing a power on self-test is not more than 65% of an elapsed time from a powered-off state to perform a cold boot of the server which passes control to initialized kernel image B after a power on self-test. 19. The server of claim 18, wherein at least three of the characterizations are correct. 20. The server of claim 18, wherein at least five of the characterizations are correct. | 2,100 |
5,898 | 5,898 | 14,734,290 | 2,129 | Methods for determining parameter/s of a well completion design (WCD) for at least a portion of a drilled well based on drilling data corresponding to variables of mechanical specific energy (MSE) are provided. In some cases, MSE values may be acquired and the WCD parameter/s may be based on the MSE values. The MSE values may be obtained from a provider or may be acquired by calculating the MSE values via the drilling data. In some cases, the data may be amended prior to determining the WCD parameter/s to substantially neutralize distortions of the data. In some cases, the methods may include creating a geomechanical model of the drilled well from acquired MSE values, optionally amending the geomechanical model and determining the WCD parameter/s from the geomechanical model. Storage mediums having program instructions which are executable by a processor for performing any steps of the methods are also provided. | 1. A method, comprising:
acquiring values of mechanical specific energy (MSE) for at least a portion of a drilled well; and determining one or more parameters of a well completion design for at least the portion of the drilled well based on the MSE values. 2. The method of claim 1, wherein the step of determining the one or more parameters comprises:
individually analyzing different subsets of the acquired MSE values that respectively correspond to different sections of the drilled well; and determining one or more parameters of the well completion design for each of the different sections based on the individualized analysis. 3. The method of claim 2, wherein the step of determining the one or more parameters of the well completion design for each of the different sections comprises:
demarcating segments of the well completion design to respectively correspond to the different sections along the portion of the drilled well; and designating locations of perforation clusters along one or more of the segments, wherein at least some of designated locations along at least one of the one or more segments correspond to one or more portions of a section of the drilled well which have associated MSE values within a set range of each other. 4. The method of claim 3, wherein the demarcated segments are fracking stages. 5. The method of claim 4, wherein the step of determining the one or more parameters further comprises amending the demarcation of the fracking stages subsequent to designating the locations of perforation clusters. 6. The method of claim 2, further comprising:
categorizing the MSE values into a plurality of groups according to different ranges of MSE values; and mapping groups to which the MSE values are categorized with locations along the portion of the drilled well which are associated with the MSE values prior to the step of determining the one more parameters of the well completion design. 7. The method of claim 6, wherein the different ranges of MSE values represent different facies of rock, and wherein the step of determining the one or more parameters of the well completion design comprises delineating fracking stages at positions along the well completion design corresponding to boundaries of neighboring facies. 8. The method of claim 6, wherein the different ranges of MSE values represent different facies of rock, and wherein the step of determining the one or more parameters of the well completion design comprises:
demarcating segments of the well completion design to respectively correspond to the different sections along the portion of the drilled well; and designating a number of perforation clusters for one or more of the segments, wherein the designated number for at least one of the one or more segments is based on a composite length of one or more particular facies within the respective segments and/or geomechanical properties of the one or more particular facies. 9. The method of claim 1, wherein the drilled well is a production well, and wherein the step of determining one or more parameters comprises determining one or more parameters of a well recompletion design for at least a portion of the production well based on the MSE values and locations of perforation clusters created during an initial well completion of the production well. 10. The method of claim 1, wherein the step of acquiring values of MSE comprises:
acquiring first data regarding a drilling operation of the well; amending some of the first data to substantially neutralize distortions of the first data which are not related to geomechanical properties of rock drilled in the well; and calculating the MSE values with the first data subsequent to amending at least some of the first data. 11. The method of claim 10, further comprising:
acquiring second data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending at least some of the first data with respect to the second data prior to calculating the MSE values. 12. The method of claim 2, wherein the step of determining one or more parameters of the well completion design comprises:
creating a geomechanical model of at least the portion of the drilled well based at least in part on the acquired MSE values; and determining the one or more parameters of the well completion design for each of the different sections of the drilled well by individually analyzing different subsets of the geomechanical model. 13. The method of claim 12, further comprising:
acquiring second data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending the geomechanical model with respect to the second data. 14. A method, comprising:
acquiring data regarding a drilling operation of a well, wherein the data comprises rate of penetration, rotary speed, weight on bit, applied torque, and bit diameter or bit face area; amending some of the data which directly correlates to mechanical specific energy (MSE) to substantially neutralize distortions of the data which are not related to geomechanical properties of rock drilled in the well; and determining one or more parameters of a well completion design for at least a portion of the drilled well based on the amended data. 15. The method of claim 14, further comprising calculating values of MSE via the data subsequent to the step of amending at least some of the data and prior to the step of determining one more parameters of the well completion design. 16. The method of claim 15, wherein the well is a production well, and wherein the step of determining one or more parameters comprises determining one or more parameters of a well recompletion design for at least a portion of the production well based on the calculated MSE values and locations of perforation clusters created during an initial well completion of the production well. 17. The method of claim 15, further comprising:
acquiring additional data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending at least some of the data used to calculate the MSE values with respect to the additional data prior to calculating the MSE values. 18. The method of claim 15, wherein the step of determining the one or more parameters comprises:
creating a geomechanical model of at least the portion of the drilled well based at least in part on the calculated MSE values; and determining the one or more parameters from the geomechanical model. 19. The method of claim 18, further comprising:
acquiring additional data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending the geomechanical model with respect to the additional data. 20. A storage medium comprising program instructions which are executable by a processor for:
receiving data regarding a drilling operation of a well; calculating values of mechanical specific energy (MSE) from the received data; creating a geomechanical model of at least a portion of the well based at least in part on the calculated MSE values; and determining one or more parameters of a well completion design for at least the portion of the drilled well from the geomechanical model. 21. The storage medium of claim 20, further comprising program instructions for categorizing the MSE values into a plurality of groups according to different ranges of MSE values prior to creating the geomechanical model, wherein the program instructions for creating the geomechanical model comprise program instructions for charting groups to which the MSE values are categorized in succession relative to locations along the portion of the drilled well which are associated with the MSE values. 22. The storage medium of claim 21, wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
demarcating subsets of the geomechanical model to respectively correspond to different sections along the portion of the drill well; and determining one or more parameters of the well completion design for each of the different sections by individually analyzing the mapped groups of each of the different subsets. 23. The storage medium of claim 22, wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
demarcating segments along the geomechanical model; and designating locations of perforation clusters along one or more of the segments, wherein at least some of designated locations along at least one of the one or more segments correspond to one or more portions of a section of the drilled well which have associated MSE values of the same group. 24. The storage medium of claim 22, wherein the different ranges of MSE values represent different facies of rock, and wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for delineating fracking stages at positions along the geomechanical model corresponding to boundaries of neighboring facies. 25. The storage medium of claim 22, wherein the different ranges of MSE values represent different facies of rock, and wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
demarcating segments along the geomechanical model; and designating a number of perforation clusters for one or more of the segments, wherein the designated number for at least one of the one or more segments is based on a composite length of one or more particular facies within the respective segment and/or geomechanical properties of the one or more particular facies. 26. The storage medium of claim 22, wherein the different ranges of MSE values represent different facies of rock, and wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
delineating one or more fracking stages along the geomechanical model; identifying a single facie in one of the fracking stages in which perforation clusters are designated; defining one or more parameters of a fracking operation for the one fracking stage based on the range of MSE values associated with the identified facie; and conducting the steps of identifying a single facie and defining one or more parameters of a fracking operation for other fracking stages of the one or more fracking stages. 27. The storage medium of claim 20, further comprising amending at least some of the received data to substantially neutralize distortions of the received data which are not related to geomechanical properties of rock drilled in the well, wherein the program instructions for calculating the values of MSE comprise program instructions for calculating the MSE values with the received data subsequent to amending at least some of the received data. 28. The storage medium of claim 20, wherein the received data comprises:
first data for variables used to calculate the MSE values; and second data which does not include variables of the calculated MSE values, and wherein the program instructions for amending at least some of the received data comprises program instructions for amending at least some of the first data with respect to the second data prior to calculating the MSE values. 29. The storage medium of claim 20, wherein the received data comprises auxiliary data which does not include variables of the calculated MSE values, and wherein the storage medium comprises amending the geomechanical model with respect to the auxiliary data prior to calculating the MSE values. 30. The storage medium of claim 20, wherein the well is a production well, wherein the geomechanical model comprises delineated parameters for recompletion of the production well, and wherein the program instructions for creating the geomechanical model comprises creating the geomechanical model based at least in part on the calculated MSE values and locations of perforation clusters created during an initial well completion of the production well. | Methods for determining parameter/s of a well completion design (WCD) for at least a portion of a drilled well based on drilling data corresponding to variables of mechanical specific energy (MSE) are provided. In some cases, MSE values may be acquired and the WCD parameter/s may be based on the MSE values. The MSE values may be obtained from a provider or may be acquired by calculating the MSE values via the drilling data. In some cases, the data may be amended prior to determining the WCD parameter/s to substantially neutralize distortions of the data. In some cases, the methods may include creating a geomechanical model of the drilled well from acquired MSE values, optionally amending the geomechanical model and determining the WCD parameter/s from the geomechanical model. Storage mediums having program instructions which are executable by a processor for performing any steps of the methods are also provided.1. A method, comprising:
acquiring values of mechanical specific energy (MSE) for at least a portion of a drilled well; and determining one or more parameters of a well completion design for at least the portion of the drilled well based on the MSE values. 2. The method of claim 1, wherein the step of determining the one or more parameters comprises:
individually analyzing different subsets of the acquired MSE values that respectively correspond to different sections of the drilled well; and determining one or more parameters of the well completion design for each of the different sections based on the individualized analysis. 3. The method of claim 2, wherein the step of determining the one or more parameters of the well completion design for each of the different sections comprises:
demarcating segments of the well completion design to respectively correspond to the different sections along the portion of the drilled well; and designating locations of perforation clusters along one or more of the segments, wherein at least some of designated locations along at least one of the one or more segments correspond to one or more portions of a section of the drilled well which have associated MSE values within a set range of each other. 4. The method of claim 3, wherein the demarcated segments are fracking stages. 5. The method of claim 4, wherein the step of determining the one or more parameters further comprises amending the demarcation of the fracking stages subsequent to designating the locations of perforation clusters. 6. The method of claim 2, further comprising:
categorizing the MSE values into a plurality of groups according to different ranges of MSE values; and mapping groups to which the MSE values are categorized with locations along the portion of the drilled well which are associated with the MSE values prior to the step of determining the one more parameters of the well completion design. 7. The method of claim 6, wherein the different ranges of MSE values represent different facies of rock, and wherein the step of determining the one or more parameters of the well completion design comprises delineating fracking stages at positions along the well completion design corresponding to boundaries of neighboring facies. 8. The method of claim 6, wherein the different ranges of MSE values represent different facies of rock, and wherein the step of determining the one or more parameters of the well completion design comprises:
demarcating segments of the well completion design to respectively correspond to the different sections along the portion of the drilled well; and designating a number of perforation clusters for one or more of the segments, wherein the designated number for at least one of the one or more segments is based on a composite length of one or more particular facies within the respective segments and/or geomechanical properties of the one or more particular facies. 9. The method of claim 1, wherein the drilled well is a production well, and wherein the step of determining one or more parameters comprises determining one or more parameters of a well recompletion design for at least a portion of the production well based on the MSE values and locations of perforation clusters created during an initial well completion of the production well. 10. The method of claim 1, wherein the step of acquiring values of MSE comprises:
acquiring first data regarding a drilling operation of the well; amending some of the first data to substantially neutralize distortions of the first data which are not related to geomechanical properties of rock drilled in the well; and calculating the MSE values with the first data subsequent to amending at least some of the first data. 11. The method of claim 10, further comprising:
acquiring second data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending at least some of the first data with respect to the second data prior to calculating the MSE values. 12. The method of claim 2, wherein the step of determining one or more parameters of the well completion design comprises:
creating a geomechanical model of at least the portion of the drilled well based at least in part on the acquired MSE values; and determining the one or more parameters of the well completion design for each of the different sections of the drilled well by individually analyzing different subsets of the geomechanical model. 13. The method of claim 12, further comprising:
acquiring second data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending the geomechanical model with respect to the second data. 14. A method, comprising:
acquiring data regarding a drilling operation of a well, wherein the data comprises rate of penetration, rotary speed, weight on bit, applied torque, and bit diameter or bit face area; amending some of the data which directly correlates to mechanical specific energy (MSE) to substantially neutralize distortions of the data which are not related to geomechanical properties of rock drilled in the well; and determining one or more parameters of a well completion design for at least a portion of the drilled well based on the amended data. 15. The method of claim 14, further comprising calculating values of MSE via the data subsequent to the step of amending at least some of the data and prior to the step of determining one more parameters of the well completion design. 16. The method of claim 15, wherein the well is a production well, and wherein the step of determining one or more parameters comprises determining one or more parameters of a well recompletion design for at least a portion of the production well based on the calculated MSE values and locations of perforation clusters created during an initial well completion of the production well. 17. The method of claim 15, further comprising:
acquiring additional data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending at least some of the data used to calculate the MSE values with respect to the additional data prior to calculating the MSE values. 18. The method of claim 15, wherein the step of determining the one or more parameters comprises:
creating a geomechanical model of at least the portion of the drilled well based at least in part on the calculated MSE values; and determining the one or more parameters from the geomechanical model. 19. The method of claim 18, further comprising:
acquiring additional data regarding the drilling operation but which does not include variables of the calculated MSE values; and amending the geomechanical model with respect to the additional data. 20. A storage medium comprising program instructions which are executable by a processor for:
receiving data regarding a drilling operation of a well; calculating values of mechanical specific energy (MSE) from the received data; creating a geomechanical model of at least a portion of the well based at least in part on the calculated MSE values; and determining one or more parameters of a well completion design for at least the portion of the drilled well from the geomechanical model. 21. The storage medium of claim 20, further comprising program instructions for categorizing the MSE values into a plurality of groups according to different ranges of MSE values prior to creating the geomechanical model, wherein the program instructions for creating the geomechanical model comprise program instructions for charting groups to which the MSE values are categorized in succession relative to locations along the portion of the drilled well which are associated with the MSE values. 22. The storage medium of claim 21, wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
demarcating subsets of the geomechanical model to respectively correspond to different sections along the portion of the drill well; and determining one or more parameters of the well completion design for each of the different sections by individually analyzing the mapped groups of each of the different subsets. 23. The storage medium of claim 22, wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
demarcating segments along the geomechanical model; and designating locations of perforation clusters along one or more of the segments, wherein at least some of designated locations along at least one of the one or more segments correspond to one or more portions of a section of the drilled well which have associated MSE values of the same group. 24. The storage medium of claim 22, wherein the different ranges of MSE values represent different facies of rock, and wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for delineating fracking stages at positions along the geomechanical model corresponding to boundaries of neighboring facies. 25. The storage medium of claim 22, wherein the different ranges of MSE values represent different facies of rock, and wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
demarcating segments along the geomechanical model; and designating a number of perforation clusters for one or more of the segments, wherein the designated number for at least one of the one or more segments is based on a composite length of one or more particular facies within the respective segment and/or geomechanical properties of the one or more particular facies. 26. The storage medium of claim 22, wherein the different ranges of MSE values represent different facies of rock, and wherein the program instructions for determining the one or more parameters of the well completion design comprise program instructions for:
delineating one or more fracking stages along the geomechanical model; identifying a single facie in one of the fracking stages in which perforation clusters are designated; defining one or more parameters of a fracking operation for the one fracking stage based on the range of MSE values associated with the identified facie; and conducting the steps of identifying a single facie and defining one or more parameters of a fracking operation for other fracking stages of the one or more fracking stages. 27. The storage medium of claim 20, further comprising amending at least some of the received data to substantially neutralize distortions of the received data which are not related to geomechanical properties of rock drilled in the well, wherein the program instructions for calculating the values of MSE comprise program instructions for calculating the MSE values with the received data subsequent to amending at least some of the received data. 28. The storage medium of claim 20, wherein the received data comprises:
first data for variables used to calculate the MSE values; and second data which does not include variables of the calculated MSE values, and wherein the program instructions for amending at least some of the received data comprises program instructions for amending at least some of the first data with respect to the second data prior to calculating the MSE values. 29. The storage medium of claim 20, wherein the received data comprises auxiliary data which does not include variables of the calculated MSE values, and wherein the storage medium comprises amending the geomechanical model with respect to the auxiliary data prior to calculating the MSE values. 30. The storage medium of claim 20, wherein the well is a production well, wherein the geomechanical model comprises delineated parameters for recompletion of the production well, and wherein the program instructions for creating the geomechanical model comprises creating the geomechanical model based at least in part on the calculated MSE values and locations of perforation clusters created during an initial well completion of the production well. | 2,100 |
5,899 | 5,899 | 14,279,617 | 2,122 | Given two heterogeneous entities, the prevalence of text data provides rich co-occurrence information for them. However, the co-occurrence only is noisy—not only may the co-occurrence just imply an accidental writing, but also it may just reflect the domain-specific common words. Only those strong relevance between entities supported by rich relevance contexts in data can indicate meaningful entity relationships. Strong relevance between heterogeneous entities are mined from their co-occurrences. Drug-disease therapeutic relationships are used as the example to demonstrate an application of this work. | 1. A computer-implemented method comprising:
receiving data associated with a co-occurrence graph among heterogeneous entities, said co-occurrence graph comprising a plurality of nodes, each node representing an entity in said heterogeneous entities, wherein any two nodes in said co-occurrence graph are connected by an edge when they co-occur in a knowledge base, with a weight of said edge being equal to the number of times entities associated with said two nodes co-occur in said knowledge base; receiving a query comprising a query entity name and a target entity type; receiving a plurality of meta paths to constrain co-occurrence scope of any two heterogeneous entities in said co-occurrence graph; generating a subgraph of said co-occurrence graph with path instances of said received meta paths; and outputting entities from said subgraph belonging to said target entity type and having strong relevance with said query entity name based on a probabilistic context-aware relevance model, where said strong relevance is constrained by said received meta paths. 2. The computer-implemented method of claim 1, wherein said query entity name is a disease name and said target entity type is “Drug”. 3. The computer-implemented method of claim 1, wherein said data associated with said co-occurrence graph is built from a plurality of the following: FDA-approved drugs, diseases extracted from human disease ontology, small-molecule chemical compounds with drug indications from a first database, terms in a tree used as a metadata to index documents in a second database, and targets made up of four sub-types: tissue, cell-line, protein, and organism. 4. The computer-implemented method of claim 1, wherein said received meta paths are any of, or a combination of, the following: “Drug-Disease”, “Drug-Drug-Disease”, “Drug-Compound-Disease”, “Drug-Disease-Disease” and “Drug-MeSH Term-Disease”. 5. The computer-implemented method of claim 1, wherein said heterogeneous entities are selected from any of the following: drug, compound, disease, target, and Medical Subject Headings (MeSH). 6. The computer-implemented method of claim 1, wherein said heterogeneous entities are heterogeneous biological and/or chemical entities. 7. The computer-implemented method of claim 1, wherein said knowledge base is accessible over a network. 8. The computer-implemented method of claim 7, wherein said network is any of the following: local area network (LAN), wide area network (WAN), the Internet, or cellular network. 9. A non-transitory, computer accessible memory medium storing program instructions for mining strong relevance between heterogeneous entities from their co-occurrences comprising:
computer readable program code receiving data associated with a co-occurrence graph among heterogeneous entities, said co-occurrence graph comprising a plurality of nodes, each node representing an entity in said heterogeneous entities, wherein any two nodes in said co-occurrence graph are connected by an edge when they co-occur in a knowledge base, with a weight of said edge being equal to the number of times entities associated with said two nodes co-occur in said knowledge base; computer readable program code receiving a query comprising a query entity name and a target entity type; computer readable program code receiving a plurality of meta paths to constrain co-occurrence scope of any two heterogeneous entities in said co-occurrence graph; computer readable program code generating a subgraph of said co-occurrence graph with path instances of said received meta paths; and computer readable program code outputting entities from said subgraph belonging to said target entity type and having strong relevance with said query entity name based on a probabilistic context-aware relevance model, where said strong relevance is constrained by said received meta paths. 10. A method comprising:
receiving a co-occurrence graph among different entities, wherein (i) each node in said co-occurrence graph represents an entity and (ii) two nodes in said co-occurrence graph are connected by an edge if they occur together in a document within a collection of documents, and wherein a weight on each edge equals the number of times two entities occur together in said collection of documents; receiving a query comprising a query entity name and a target entity type; receiving pre-specified meta paths to constrain a scope of co-occurrence between two different entities in said co-occurrence graph; and outputting entities that (i) belong to said target entity type, and (ii) are functionally relevant to an instance of said query entity name. 11. The method of claim 10, comprising:
building a probabilistic context-aware relevance model to measure said functional relevance between said query entity name and said target entity type, in view of said scope, by: (i) profiling said query entity name using a first set of adjacent entities within said scope; (ii) profiling said target entity type using a set of adjacent entities within said scope; (iii) wherein said functional relevance between said query entity name and said target entity type is a weighted product of the functional relevance between all pairs of adjacent entities, wherein one entity comes from said first set of adjacent entities and the other entity comes from said second set of adjacent entities; and (iv) iteratively computing the functional relevance between any pair of adjacent entities according to steps (i), (ii), and (iii); wherein said weight in step (iii) measures an inverse document frequency (IDF) based importance of adjacent entities to said query entity name and said target entity type. 12. The computer-implemented method of claim 10, wherein said query entity name is a disease name and said target entity type is “Drug”. 13. The method of claim 10, wherein data associated with said co-occurrence graph are built from a plurality of the following: FDA-approved drugs, diseases extracted from human disease ontology, small-molecule chemical compounds with drug indications from a first database, terms in a tree used as a metadata to index documents in a second database, and targets made up of four sub-types: tissue, cell-line, protein, and organism. 14. The method of claim 10, wherein said received meta paths are any of, or a combination of, the following: “Drug-Disease”, “Drug-Drug-Disease”, “Drug-Compound-Disease”, “Drug-Disease-Disease” and “Drug-MeSH Term-Disease”. 15. The method of claim 10, wherein said heterogeneous entities are selected from any of the following: drug, compound, disease, target, and Medical Subject Headings (MeSH). 16. The method of claim 10, wherein said heterogeneous entities are heterogeneous biological and/or chemical entities. 17. The method of claim 10, wherein said collection of documents are accessible over a network. 18. The method of claim 18, wherein said network is any of the following: local area network (LAN), wide area network (WAN), the Internet, or cellular network. | Given two heterogeneous entities, the prevalence of text data provides rich co-occurrence information for them. However, the co-occurrence only is noisy—not only may the co-occurrence just imply an accidental writing, but also it may just reflect the domain-specific common words. Only those strong relevance between entities supported by rich relevance contexts in data can indicate meaningful entity relationships. Strong relevance between heterogeneous entities are mined from their co-occurrences. Drug-disease therapeutic relationships are used as the example to demonstrate an application of this work.1. A computer-implemented method comprising:
receiving data associated with a co-occurrence graph among heterogeneous entities, said co-occurrence graph comprising a plurality of nodes, each node representing an entity in said heterogeneous entities, wherein any two nodes in said co-occurrence graph are connected by an edge when they co-occur in a knowledge base, with a weight of said edge being equal to the number of times entities associated with said two nodes co-occur in said knowledge base; receiving a query comprising a query entity name and a target entity type; receiving a plurality of meta paths to constrain co-occurrence scope of any two heterogeneous entities in said co-occurrence graph; generating a subgraph of said co-occurrence graph with path instances of said received meta paths; and outputting entities from said subgraph belonging to said target entity type and having strong relevance with said query entity name based on a probabilistic context-aware relevance model, where said strong relevance is constrained by said received meta paths. 2. The computer-implemented method of claim 1, wherein said query entity name is a disease name and said target entity type is “Drug”. 3. The computer-implemented method of claim 1, wherein said data associated with said co-occurrence graph is built from a plurality of the following: FDA-approved drugs, diseases extracted from human disease ontology, small-molecule chemical compounds with drug indications from a first database, terms in a tree used as a metadata to index documents in a second database, and targets made up of four sub-types: tissue, cell-line, protein, and organism. 4. The computer-implemented method of claim 1, wherein said received meta paths are any of, or a combination of, the following: “Drug-Disease”, “Drug-Drug-Disease”, “Drug-Compound-Disease”, “Drug-Disease-Disease” and “Drug-MeSH Term-Disease”. 5. The computer-implemented method of claim 1, wherein said heterogeneous entities are selected from any of the following: drug, compound, disease, target, and Medical Subject Headings (MeSH). 6. The computer-implemented method of claim 1, wherein said heterogeneous entities are heterogeneous biological and/or chemical entities. 7. The computer-implemented method of claim 1, wherein said knowledge base is accessible over a network. 8. The computer-implemented method of claim 7, wherein said network is any of the following: local area network (LAN), wide area network (WAN), the Internet, or cellular network. 9. A non-transitory, computer accessible memory medium storing program instructions for mining strong relevance between heterogeneous entities from their co-occurrences comprising:
computer readable program code receiving data associated with a co-occurrence graph among heterogeneous entities, said co-occurrence graph comprising a plurality of nodes, each node representing an entity in said heterogeneous entities, wherein any two nodes in said co-occurrence graph are connected by an edge when they co-occur in a knowledge base, with a weight of said edge being equal to the number of times entities associated with said two nodes co-occur in said knowledge base; computer readable program code receiving a query comprising a query entity name and a target entity type; computer readable program code receiving a plurality of meta paths to constrain co-occurrence scope of any two heterogeneous entities in said co-occurrence graph; computer readable program code generating a subgraph of said co-occurrence graph with path instances of said received meta paths; and computer readable program code outputting entities from said subgraph belonging to said target entity type and having strong relevance with said query entity name based on a probabilistic context-aware relevance model, where said strong relevance is constrained by said received meta paths. 10. A method comprising:
receiving a co-occurrence graph among different entities, wherein (i) each node in said co-occurrence graph represents an entity and (ii) two nodes in said co-occurrence graph are connected by an edge if they occur together in a document within a collection of documents, and wherein a weight on each edge equals the number of times two entities occur together in said collection of documents; receiving a query comprising a query entity name and a target entity type; receiving pre-specified meta paths to constrain a scope of co-occurrence between two different entities in said co-occurrence graph; and outputting entities that (i) belong to said target entity type, and (ii) are functionally relevant to an instance of said query entity name. 11. The method of claim 10, comprising:
building a probabilistic context-aware relevance model to measure said functional relevance between said query entity name and said target entity type, in view of said scope, by: (i) profiling said query entity name using a first set of adjacent entities within said scope; (ii) profiling said target entity type using a set of adjacent entities within said scope; (iii) wherein said functional relevance between said query entity name and said target entity type is a weighted product of the functional relevance between all pairs of adjacent entities, wherein one entity comes from said first set of adjacent entities and the other entity comes from said second set of adjacent entities; and (iv) iteratively computing the functional relevance between any pair of adjacent entities according to steps (i), (ii), and (iii); wherein said weight in step (iii) measures an inverse document frequency (IDF) based importance of adjacent entities to said query entity name and said target entity type. 12. The computer-implemented method of claim 10, wherein said query entity name is a disease name and said target entity type is “Drug”. 13. The method of claim 10, wherein data associated with said co-occurrence graph are built from a plurality of the following: FDA-approved drugs, diseases extracted from human disease ontology, small-molecule chemical compounds with drug indications from a first database, terms in a tree used as a metadata to index documents in a second database, and targets made up of four sub-types: tissue, cell-line, protein, and organism. 14. The method of claim 10, wherein said received meta paths are any of, or a combination of, the following: “Drug-Disease”, “Drug-Drug-Disease”, “Drug-Compound-Disease”, “Drug-Disease-Disease” and “Drug-MeSH Term-Disease”. 15. The method of claim 10, wherein said heterogeneous entities are selected from any of the following: drug, compound, disease, target, and Medical Subject Headings (MeSH). 16. The method of claim 10, wherein said heterogeneous entities are heterogeneous biological and/or chemical entities. 17. The method of claim 10, wherein said collection of documents are accessible over a network. 18. The method of claim 18, wherein said network is any of the following: local area network (LAN), wide area network (WAN), the Internet, or cellular network. | 2,100 |
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