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Optimal dynamic control of resources in a distributed systemThe authors quantitatively formulate the problem of controlling resources in a distributed system so as to optimize a reward function and derive optimal control strategies using Markov decision theory. The control variables treated are quite general; they could be control decisions related to system configuration, repair, diagnostics, files, or data. Two algorithms for resource control in distributed systems are derived for time-invariant and periodic environments, respectively. A detailed example to demonstrate the power and usefulness of the approach is provided.
Document ID
19900026871
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Shin, Kang G. (Michigan, University Ann Arbor, United States)
Krishna, C. M. (Massachusetts, University Amherst, United States)
Lee, Yann-Hang (Florida, University Gainesville, United States)
Date Acquired
August 14, 2013
Publication Date
October 1, 1989
Publication Information
Publication: IEEE Transactions on Software Engineering
Volume: 15
ISSN: 0098-5589
Subject Category
COMPUTER SYSTEMS
Funding Number(s)
CONTRACT_GRANT: NSF DMC-85-04971
CONTRACT_GRANT: NAG1-296
Distribution Limits
Public
Copyright
Other