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A hierarchical optimization framework for autonomic performance management of distributed computing systems
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1706
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| 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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