Expressive Power-Based Resource Allocation for Data Centers
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CitationLubin, Benjamin, David C. Parkes, Jeff Kephart, and Rajarshi Das. 2009. Expressive power-based resource allocation for data centers. In Proceedings of the 21st International Joint Conference on Artificial Intelligence: July 11-17, 2009, Pasadena, California, 1451-1456. San Francisco: Morgan Kaufmann Publishers Inc.
AbstractAs data-center energy consumption continues to rise, efficient power management is becoming increasingly important. In this work, we examine the use of a novel market mechanism for finding the right balance between power and performance. The market enables a separation between a 'buyer side' that strives to maximize performance and a 'seller side' that strives to minimize power and other costs. A concise and scalable description language is defined for agent preferences that admits a mixedinteger program for computing optimal allocations. Experimental results demonstrate the robustness, flexibility, practicality and scalability of the architecture.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:3778252
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