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2011 IEEE 30th International Symposium on Reliable Distributed Systems
Modeling the Fault Tolerance Consequences of Deduplication
Madrid, Madrid Spain
October 04-October 07
ISBN: 978-0-7695-4450-2
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.
Index Terms:
reliability, fault tolerance, storage systems, deduplication, UDE
Eric W.D. Rozier, William H. Sanders, Pin Zhou, Nagapramod Mandagere, Sandeep M. Uttamchandani, Mark L. Yakushev, "Modeling the Fault Tolerance Consequences of Deduplication," srds, pp.75-84, 2011 IEEE 30th International Symposium on Reliable Distributed Systems, 2011
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