Drive-Thru: fast, accurate evaluation of storage power management

  • Authors:
  • Daniel Peek;Jason Flinn

  • Affiliations:
  • Department of Electrical Engineering and Computer Science, University of Michigan;Department of Electrical Engineering and Computer Science, University of Michigan

  • Venue:
  • ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
  • Year:
  • 2005

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Abstract

Running traces of realistic user activity is an important step in evaluating storage power management. Unfortunately, existing methodologies that replay traces as fast as possible on a live system cannot be used to evaluate timeout-based power management policies. Other methodologies that slow down replay to preserve the recorded delays between operations are too time-consuming. We propose a hybrid approach, called Drive-Thru, that provides both accuracy and speed of evaluation by separating time-dependent and time-independent activity. We first synchronously replay file system activity on the target platform to create a base trace that captures the semantic relationship between file system activity and storage accesses. We then use the base trace as input to a simulator that can evaluate different disk, network, file cache, and file system power management policies. We use Drive-Thru to study the benefit of several recent proposals to reduce file system energy usage.