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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
Citation:
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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