Modeling the fault tolerance consequences of deduplication

Eric W.D. Rozier, William H. Sanders, Pin Zhou, Nagapramod Mandagere, Sandeep M. Uttamchandani, Mark L. Yakushev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modern storage systems are employing data deduplication with increasing frequency. Often the storage systems on which these techniques are deployed contain important data, and utilize fault-tolerant hardware and software to improve the reliability of the system and reduce data loss. We suggest that data deduplication introduces inter-file relationships that may have a negative impact on the fault tolerance of such systems by creating dependencies that can increase the severity of data loss events. We present a framework composed of data analysis methods and a model of data deduplication that is useful in studying the reliability impact of data deduplication. The framework is useful for determining a deduplication strategy that is estimated to satisfy a set of reliability constraints supplied by a user.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 30th IEEE International Symposium on Reliable Distributed Systems, SRDS 2011
Pages75-84
Number of pages10
DOIs
StatePublished - 2011
Event2011 30th IEEE International Symposium on Reliable Distributed Systems, SRDS 2011 - Madrid, Spain
Duration: Oct 4 2011Oct 7 2011

Publication series

NameProceedings of the IEEE Symposium on Reliable Distributed Systems
ISSN (Print)1060-9857

Other

Other2011 30th IEEE International Symposium on Reliable Distributed Systems, SRDS 2011
Country/TerritorySpain
CityMadrid
Period10/4/1110/7/11

Keywords

  • UDE
  • deduplication
  • fault tolerance
  • reliability
  • storage systems

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications

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