Utility-function-driven energy-efficient cooling in data centers

  • Authors:
  • Rajarshi Das;Jeffrey O. Kephart;Jonathan Lenchner;Hendrik Hamann

  • Affiliations:
  • IBM Thomas J. Watson Research Center, Hawthorne, NY, USA;IBM Thomas J. Watson Research Center, Hawthorne, NY, USA;IBM Thomas J. Watson Research Center, Hawthorne, NY, USA;IBM Thomas J. Watson Research Center, Hawthorne, NY, USA

  • Venue:
  • Proceedings of the 7th international conference on Autonomic computing
  • Year:
  • 2010

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Abstract

The sharp rise in energy usage in data centers, fueled by increased IT workload and high server density, and coupled with a concomitant increase in the cost and volatility of the energy supply, have triggered urgent calls to improve data center energy efficiency. In response, researchers have developed energy-aware IT systems that slow or shut down servers without sacrificing performance objectives. Several authors have shown that utility functions are a natural and advantageous framework for self-management of servers to joint power and performance objectives. We demonstrate that utility functions are a similarly powerful framework for flexibly managing entire data centers to joint power and temperature objectives. After showing how utility functions can capture a wide range of objectives and tradeoffs that an operator might wish to specify, we illustrate the resulting range in behavior and energy savings using experimental results from a real data center that is cooled by two computer room air-conditioning (CRAC) units equipped with variable-speed fan drives.