Blackbox prediction of the impact of DVFS on end-to-end performance of multitier systems

  • Authors:
  • Shuyi Chen;Kaustubh R. Joshi;Matti A. Hiltunen;Richard D. Schlichting;William H. Sanders

  • Affiliations:
  • University of Illinois at UrbanaChampaign, Urbana, IL;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;University of Illinois at UrbanaChampaign, Urbana, IL

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review
  • Year:
  • 2010

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Abstract

Dynamic voltage and frequency scaling (DVFS) is a well-known technique for gaining energy savings on desktop and laptop computers. However, its use in server settings requires careful consideration of any potential impacts on end-to-end service performance of hosted applications. In this paper, we develop a simple metric called the \frequency gradient" that allows prediction of the impact of changes in processor frequency on the end-to-end transaction response times of multitier applications. We show how frequency gradients can be measured on a running system in a push-button manner without any prior knowledge of application semantics, structure, or configuration settings. Using experimental results, we demonstrate that the frequency gradients provide accurate predictions, and enable end-to-end performance-aware DVFS for mulitier applications.