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 de- fined for agent preferences that admits a mixedinteger program for computing optimal allocations. Experimental results demonstrate the robustness, flexibility, practicality and scalability of the architecture.

Authors

• Benjamin Lubin
• Jeffrey O. Kephart
• Rajarshi Das Jeffrey O. Kephart
• David C. Parkes Harvard University DeepMind

Keywords

• Autonomic Computing
• Auctions and Market-Based Systems