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  5. Randomization and Failure Detection: A Hybrid Approach to SolveConsensus

Randomization and Failure Detection: A Hybrid Approach to SolveConsensus

File(s)
96-1592.pdf (245.26 KB)
96-1592.ps (309.34 KB)
Permanent Link(s)
https://hdl.handle.net/1813/7247
Collections
Computer Science Technical Reports
Author
Aguilera, Marcos K.
Toueg, Sam
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.

Date Issued
1996-06
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR96-1592
Type
technical report

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