Expressive Power-Based Resource Allocation for Data Centers

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Expressive Power-Based Resource Allocation for Data Centers

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Title: Expressive Power-Based Resource Allocation for Data Centers
Author: Lubin, Benjamin; Parkes, David C.; Kephart, Jeff; Das, Rajarshi

Note: Order does not necessarily reflect citation order of authors.

Citation: Lubin, 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.
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Abstract: As 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.
Published Version: http://portal.acm.org/citation.cfm?id=1661678
Other Sources: http://www.eecs.harvard.edu/econcs/pubs/lubin09.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3778252

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  • FAS Scholarly Articles [7374]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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