Power signature analysis of the SPECpower_ssj2008 benchmark

  • Authors:
  • Chung-Hsing Hsu;Stephen W. Poole

  • Affiliations:
  • Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831;Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831

  • Venue:
  • ISPASS '11 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software
  • Year:
  • 2011

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Abstract

As the power consumption of a server system becomes a mainstream concern in enterprise environments, understanding the system's power behavior at varying utilization levels provides us a key to select appropriate energy-efficiency optimizations. In this work, we present an in-depth analysis of 177 SPECpower_ssj2008 results published between 2007 -- 2010 to understand the changes of server's power behavior over time. In particular, we identified simple nonlinear functions appropriate for modeling the power behavior of today's, aggressively power-managed, machines. We consider this work as an important first step towards developing capability for power signature analysis of a high-end computer system.