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Published Articles >> Table of Contents >> Abstract
Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1 (AAMAS'04)
pp. 464-471
A Multi-Agent Systems Approach to Autonomic Computing
Gerald Tesauro, IBM T.J. Watson Research Center
David M. Chess, IBM T.J. Watson Research Center
William E. Walsh, IBM T.J. Watson Research Center
Rajarshi Das, IBM T.J. Watson Research Center
Alla Segal, IBM T.J. Watson Research Center
Ian Whalley, IBM T.J. Watson Research Center
Jeffrey O. Kephart, IBM T.J. Watson Research Center
Steve R. White, IBM T.J. Watson Research Center
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10038
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| Abstract |
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The goal of autonomic computing is to create computing
systems capable of managing themselves to a far greater
extent than they do today. This paper presents Unity, a decentralized
architecture for autonomic computing based on
multiple interacting agents called autonomic elements. We
illustrate how the Unity architecture realizes a number of
desired autonomic system behaviors including goal-driven
self-assembly, self-healing, and real-time self-optimization.
We then present a realistic prototype implementation, showing
how a collection of Unity elements self-assembles, recovers
from certain classes of faults, and manages the use of
computational resources (e.g. servers) in a dynamic multi-application
environment. In Unity, an autonomic element
within each application environment computes a resource-level
utility function based on information specified in that
application’s service-level utility function. Resource-level
utility functions from multiple application environments are
sent to a Resource Arbiter element, which computes a globally
optimal allocation of servers across the applications.
We present illustrative empirical data showing the behavior
of our implemented system in handling realistic Web-based
transactional workloads running on a Linux cluster.
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 Additional Information
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Citation:
Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White,
"A Multi-Agent Systems Approach to Autonomic Computing,"
aamas,
pp. 464-471,
Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1 (AAMAS'04),
2004
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