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21st IEEE Symposium on Reliable Distributed Systems (SRDS'02)
Introspective Failure Analysis: Avoiding Correlated Failures in Peer-to-Peer Systems
Osaka University, Suita, Japan
October 13-October 16
ISBN: 0-7695-1659-9
Hakim Weatherspoon, University of California at Berkeley
Tal Moscovitz, University of California at Berkeley
John Kubiatowicz, University of California at Berkeley
Failure independence is an important assumption for many fault tolerance techniques. Unfortunately, real system exhibit correlated failures. In this paper, we present a framework for online discovery of groups of server nodes that are maximally independent in their failure characteristics. We discuss the framework in detail and provide a preliminary evaluation.
Citation:
Hakim Weatherspoon, Tal Moscovitz, John Kubiatowicz, "Introspective Failure Analysis: Avoiding Correlated Failures in Peer-to-Peer Systems," srds, pp.362, 21st IEEE Symposium on Reliable Distributed Systems (SRDS'02), 2002
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