Experience with Evaluating Human-Assisted Recovery Processes

  • Authors:
  • Aaron B. Brown;Leonard Chung;William Kakes;Calvin Ling;David A. Patterson

  • Affiliations:
  • University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley

  • Venue:
  • DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
  • Year:
  • 2004

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Abstract

We describe an approach to quantitatively evaluatinghuman-assisted failure-recovery tools and processes in theenvironment of modern Internet- and enterprise-class serversystems. Our approach can quantify the dependabilityimpact of a single recovery system, and also enables comparisonsbetween different recovery approaches. Theapproach combines aspects of dependability benchmarkingwith human user studies, incorporating human participantsin the system evaluations yet still producing typical dependability-related metrics as results. We illustrate our methodology via a case study of a system-wide undo/redo recoverytool for e-mail services; our approach is able to expose thedependability benefits of the tool as well as point out areaswhere its behavior could use improvement.