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On the implementation of the Omega failure detector in the crash-recovery failure model

Authors: Cristian Martín 0001; Mikel Larrea; Ernesto Jiménez;

On the implementation of the Omega failure detector in the crash-recovery failure model

Abstract

Unreliable failure detectors are mechanisms providing information about process failures that allow solving several problems in asynchronous systems, e.g., Consensus. A particular class of failure detectors, Omega, provides an eventual leader election functionality. This paper addresses the implementation of Omega in the crash-recovery failure model. Recently we have proposed an algorithm assuming that eventually the correct process with the smallest identifier and minimum incarnation number can communicate timely with the rest of processes. Here we propose two Omega algorithms which assume only that processes are reachable from some correct process, independently of its identifier and incarnation number. The first one requires the membership to be known a priori, while the second one relaxes this assumption too

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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