Lessons and challenges in automating data dependability

  • Authors:
  • Kimberly Keeton;Dirk Beyer;Jeffrey Chase;Arif Merchant;Cipriano Santos;John Wilkes

  • Affiliations:
  • Hewlett-Packard Laboratories, Palo Alto, CA;Hewlett-Packard Laboratories, Palo Alto, CA;Duke University, Durham, NC;Hewlett-Packard Laboratories, Palo Alto, CA;Hewlett-Packard Laboratories, Palo Alto, CA;Hewlett-Packard Laboratories, Palo Alto, CA

  • Venue:
  • Proceedings of the 11th workshop on ACM SIGOPS European workshop
  • Year:
  • 2004

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Abstract

Designing and managing dependable systems is a difficult endeavor. In this paper, we describe challenges in this vast problem space, including provisioning and allocating shared resources, adaptively managing system dependability, expressing dependability goals, interactively exploring the design space, and designing end-to-end service dependability. We outline the optimization-based approach we've used to tackle the data dependability portion of this space, and describe how we can extend that approach to address an even larger dependability scope.