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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Steinder, M. Whalley, I. Hanson, J.E. Kephart, J.O. |
| Copyright Year | 2008 |
| Description | Author affiliation: IBM Thomas J. Watson Res. Center, Hawthorne, NY (Steinder, M.; Whalley, I.; Hanson, J.E.; Kephart, J.O.) |
| Abstract | With the continued growth of computing power and reduction in physical size of enterprise servers, the need for actively managing electrical power usage in large datacenters is becoming ever more pressing. By far the greatest savings in electrical power can be effected by dynamically consolidating workload onto the minimum number of servers needed at a given time and powering off the remainder. However, simple schemes for achieving this goal fail to cope with the complexities of realistic usage scenarios. In this paper we present a combined power-and performance-management system that builds on a state-of-the-art performance manager to achieve significant power savings without unacceptable loss of performance. In our system, the degree to which performance may be traded off against power is itself adjustable using a small number of easily-understood parameters, permitting administrators in different facilities to select the optimal tradeoff for their needs. We characterize the power saved, the effects of the tradeoff between power and performance, and the changes in behavior as the tradeoff parameters are adjusted, both in simulation and in a sample deployment of the real system. |
| Starting Page | 387 |
| Ending Page | 394 |
| File Size | 236835 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424420650 |
| ISSN | 15421201 |
| DOI | 10.1109/NOMS.2008.4575159 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-07 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy management Runtime Power system management Costs Performance loss Energy consumption Hardware Power measurement Blades Power system modeling |
| Content Type | Text |
| Resource Type | Article |
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