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Autonomic Computing, International Conference on (2004)
New York, New York
May 17, 2004 to May 18, 2004
ISBN: 0-7695-2114-2
pp: 80-87
Anand Ranganathan , University of Illinois at Urbana-Champaign
Roy H. Campbell , University of Illinois at Urbana-Champaign
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.

R. H. Campbell and A. Ranganathan, "Autonomic Pervasive Computing Based on Planning," Autonomic Computing, International Conference on(ICAC), New York, New York, 2004, pp. 80-87.
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