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https://doi.org/10.1109/prdc.2...
Article . 2002 . Peer-reviewed
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Impact of a failure detection mechanism on the performance of consensus

Authors: Nicole Sergent; Xavier Défago; André Schiper;

Impact of a failure detection mechanism on the performance of consensus

Abstract

The paper considers a consensus algorithm for an asynchronous system augmented with failure detectors, and analyzes the impact on its termination time of various implementations of failure detectors. The study shows that the design of fault-tolerant distributed algorithms in the asynchronous system model augmented with failure detectors is orthogonal to implementing the actual failure detectors. This nicely decouples logical issues (proof of correctness) from engineering issues (e.g., performance and timing constraints).

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Switzerland
  • BIP!
    Impact byBIP!
    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).
    21
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
21
Average
Top 10%
Top 10%
Green