Improving the Robustness of Distributed Failure Detectors in Adverse Conditions

Failure detection is at the core of most fault tolerance strategies, but it often depends on reliable communication. We present new algorithms for failure detectors which are appropriate as components of a fault tolerance system that can be deployed in situations of adverse network conditions (such...

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Veröffentlicht in:	Revista IEEE América Latina 2012-01, Vol.10 (1), p.1364-1369
Hauptverfasser:	Lemos, F. T. C., Sato, L. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomedical monitoring Detectors Distributed Failure Detectors Failure Failure Detection Fault tolerance Heart beat Messages Monitoring Networks Payloads Robustness Strategy
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description	Failure detection is at the core of most fault tolerance strategies, but it often depends on reliable communication. We present new algorithms for failure detectors which are appropriate as components of a fault tolerance system that can be deployed in situations of adverse network conditions (such as loosely connected and administered computing grids). It packs redundancy into heartbeat messages, thereby improving on the robustness of the traditional protocols. Results from experimental tests conducted in a simulated environment with adverse network conditions show significant improvement over existing solutions.
doi_str_mv	10.1109/TLA.2012.6142485
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subjects	Biomedical monitoring Detectors Distributed Failure Detectors Failure Failure Detection Fault tolerance Heart beat Messages Monitoring Networks Payloads Robustness Strategy
title	Improving the Robustness of Distributed Failure Detectors in Adverse Conditions
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