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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1706

Title: A hierarchical optimization framework for autonomic performance management of distributed computing systems
Authors: Kandasamy, Nagarajan
Abdelwahed, Sherif
Khandekar, Mohit
Issue Date: Jul-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: 26th IEEE International Conference on Distributed Computing Systems, ICDCS 2006: pp. 1648796-1 - 1648796-10.
Abstract: This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisfy desired quality-ofservice objectives. To efficiently solve the performance management problems of interest in a distributed setting, we develop a hierarchical structure where a highlevel limited-lookahead controller manages interactions between lower-level controllers using forecast operating and environment parameters. We develop the overall control structure, and as a case study, show how to efficiently manage the power consumed by a computer cluster. Using workload traces from the Soccer World Cup 98 web site, we show via simulations that the proposed method is scalable, has low run-time overhead, and adapts quickly to time-varying workload patterns.
URI: http://dx.doi.org/10.1109/ICDCS.2006.8
http://hdl.handle.net/1860/1706
Appears in Collections:Faculty Research and Publications (ECE)

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