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and user interface issues. |
Conclusions |
Ubiquitous computing is a compelling vision for the future that is moving closer to |
realization at an accelerating pace. The combination of global wireless and wired |
connectivity along with increasingly small and powerful devices enables a wide array |
of new applications that will change the nature of computing. Beyond new devices |
and communications mechanisms, however, the key technology that is required to |
make ubiquitous computing a reality is data management. Data lies at the heart of all |
ubiquitous computing applications, but these applications and environments impose |
new and challenging requirements for data management technology. |
In this short paper, I have tried to outline the key aspects of ubiquitous computing |
from a data management perspective. These aspects were organized into three |
categories: 1) support for mobility, 2) context-awareness, and 3) support for |
collaboration. I then examined each of these to determine a set of requirements that |
they impose on data management. The over-riding issue that stems from all of these |
is the need for adaptivity. Thus, traditional data management techniques, which tend |
to be static and fairly rigid, must be rethought in light of this emerging computing |
environment. |
I also described two on-going projects that are re-examining key aspects of data |
management techniques: the DataRecharging project, which aims to provide data |
synchronization and dissemination of highly relevant data for mobile users based on |
the processing of sophisticated user profiles; and the Telegraph project, which is |
developing a dynamic dataflow processing engine to efficiently and adaptively |
process streams of data from a host of sources ranging from web sources to networks |
of sensors. |
Of course, there are a number of very important data management issues that have |
not been touched upon in this short paper. First of all, the ability to interoperate |
among multiple applications and types of data will depend on standards for data- |
interchange, resource discovery, and inter-object communication. Great strides are |
being made in these areas, and the research issues are only a small part of the effort |
involved in the standardization process. Another important area, in which on-going |
research plays a central role, is the development of global-scale, secure and archival |
information storage utilities. An example of such a system is the OceanStore utility, |
currently under development at UC Berkeley [KBCC+00]. |
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