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As we embed more computers into our daily environment, ubiquitous
computing promises to make them less noticeable and help to prevent
information overload. We see, however, few ubiquitous applications
that are able to adapt to the dynamics of user, physical, and
computational context. We believe that there are two challenges
causing this lack of ubiquitous applications: there is no flexible and
scalable way to support information collection and dissemination in a
ubiquitous and mobile environment, and there is no general approach to
building adaptive applications given heterogeneous contextual
information. We propose a system infrastructure, Solar, to meet these
challenges. Solar uses a subscription-based operator graph abstraction
and allows dynamic composition of stackable operators to manage
ubiquitous information sources. After developing a set of diverse
adaptive applications, we expect to identify fundamental techniques
for context-aware adaptation. Our expectation is that Solar's
end-to-end support for information collection, dissemination, and
utilization will make it easy to build adaptive applications for a
ubiquitous mobile environment with many users and devices.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Guanling Chen and David Kotz, "Supporting Adaptive Ubiquitous Applications with the SOLAR System." Dartmouth Computer Science Technical Report TR2001-397, May 2001.
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