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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/7247
Title: Randomization and Failure Detection: A Hybrid Approach to SolveConsensus
Authors: Aguilera, Marcos K.
Toueg, Sam
Keywords: computer science
technical report
Issue Date: Jun-1996
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR96-1592
Abstract: We present a Consensus algorithm that combines randomization and unreliable failure detection, two well-known techniques for solving Consensus in asynchronous systems with crash failures. This hybrid algorithm combines advantages from both approaches: it guarantees deterministic termination if the failure detector is accurate, and probabilistic termination otherwise. In executions with no failures or failure detector mistakes, the most likely ones in practice, Consensus is reached in only two asynchronous rounds.
URI: http://hdl.handle.net/1813/7247
Appears in Collections:Computer Science Technical Reports

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