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INFOCOM
2005
IEEE

On failure detection algorithms in overlay networks

14 years 5 months ago
On failure detection algorithms in overlay networks
— One of the key reasons overlay networks are seen as an excellent platform for large scale distributed systems is their resilience in the presence of node failures. This resilience rely on accurate and timely detection of node failures. Despite the prevalent use of keep-alive algorithms in overlay networks to detect node failures, their tradeoffs and the circumstances in which they might best be suited is not well understood. In this paper, we study how the design of various keep-alive approaches affect their performance in node failure detection time, probability of false positive, control overhead, and packet loss rate via analysis, simulation, and implementation. We find that among the class of keep-alive algorithms that share information, the maintenance of backpointer state substantially improves detection time and packet loss rate. The improvement in detection time between baseline and sharing algorithms becomes more pronounced as the size of neighbor set increases. Finally, ...
Shelley Zhuang, Dennis Geels, Ion Stoica, Randy H.
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where INFOCOM
Authors Shelley Zhuang, Dennis Geels, Ion Stoica, Randy H. Katz
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