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Conference object . 2012
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https://doi.org/10.1109/edcc.2...
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A Time-Free Byzantine Failure Detector for Dynamic Networks

Authors: Greve, Fabíola; Santos de Lima, Murilo; Arantes, Luciana; Sens, Pierre;

A Time-Free Byzantine Failure Detector for Dynamic Networks

Abstract

Modern distributed systems deployed over wireless ad-hoc networks are inherently dynamic and the issue of designing dependable services which can cope with the high dynamics of these systems is a challenge. Byzantine failure detectors provide an elegant abstraction for implementing Byzantine fault tolerance. However, very few works have been proposed for the new distributed system scenario. This paper presents a model and a protocol able to implement an unreliable Byzantine failure detector adequate for dynamic networks with unknown membership. The protocol has the interesting feature to be time-free, that is, it does not rely on timers to detect omission failures. To the best of our knowledge, the adoption of a time-free Byzantine failure detection is novel and this paper provides a first insight towards the understanding and implementation of such an approach in networks with unknown membership.

Country
France
Keywords

[INFO] Computer Science [cs]

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    5
    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
5
Average
Average
Average
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