AAAI Publications, Twenty-First International Joint Conference on Artificial Intelligence

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Expressive Power-Based Resource Allocation for Data Centers
Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes

Last modified: 2009-06-26


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 mixed-integer program for computing optimal allocations. Experimental results demonstrate the robustness, flexibility, practicality and scalability of the architecture.


Autonomic Computing; Auctions; Market-Based Systems

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