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Predicting Disk Scheduling Performance with Virtual Machines

  • Robert Geist
  • Zachary H. Jones
  • James Westall
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6821)

Abstract

A method for predicting the performance of disk scheduling algorithms on real machines using only their performance on virtual machines is suggested. The method uses a dynamically loaded kernel intercept probe (iprobe) to adjust low-level virtual device timing to match that of a simple model derived from the real device. An example is provided in which the performance of a newly proposed disk scheduling algorithm is compared with that of standard Linux algorithms. The advantage of the proposed method is that reasonable performance predictions may be made without dedicated measurement platforms and with only relatively limited knowledge of the performance characteristics of the targeted devices.

Keywords

Virtual Machine Service Time Virtual Machine Monitor Virtual System Sleep Interval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Robert Geist
    • 1
  • Zachary H. Jones
    • 1
  • James Westall
    • 1
  1. 1.Clemson UniversityUSA

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