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

Shuyi Chen, Kaustubh R. Joshi, Matti A. Hiltunen, Richard D. Schlichting, William H. Sanders

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)59-63
Number of pages5
JournalPerformance Evaluation Review
Volume37
Issue number4
DOIs
StatePublished - Mar 2010

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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