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Published Articles >> Table of Contents >> Abstract
First International Conference on Autonomic Computing (ICAC'04)
pp. 80-87
Autonomic Pervasive Computing Based on Planning
Anand Ranganathan, University of Illinois at Urbana-Champaign
Roy H. Campbell, University of Illinois at Urbana-Champaign
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2004.17
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| Abstract |
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Pervasive Computing envisions a world with users interacting naturally with device-rich environments to perform various kinds of tasks. These environments must, thus, be self-managing and autonomic systems, receiving only high-level guidance from users. However, these environments are also highly dynamic — the context and resources available in these environments can change rapidly. They are also prone to failures — one or more entities can fail due to variety of reasons. The dynamic and fault-prone nature of these environments poses major challenges to their autonomic operation. In this paper we present a new paradigm for the operation of pervasive computing environments that is based on goal specification and STRIPS-based planning. Users as well as application developers can describe tasks to be performed in terms of abstract goals and a planning framework decides how these goals are to be achieved. This paradigm helps improve the fault-tolerance, adaptability, ease of programming and usability of these environments. We have developed and used a prototype planning system within our pervasive computing system, Gaia.
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 Additional Information
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Citation:
Anand Ranganathan, Roy H. Campbell,
"Autonomic Pervasive Computing Based on Planning,"
icac,
pp. 80-87,
First International Conference on Autonomic Computing (ICAC'04),
2004
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