An analytical framework for self-organizing peer-to-peer anti-entropy algorithms

An analytical framework is developed for establishing exact performance measures for peer-to-peer (P2P) anti-entropy paradigms used in biologically inspired epidemic data dissemination. Major benefits of these paradigms are that they are fully distributed, self-organizing, utilize local data only vi...

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Bibliographic Details
Published in:	Performance evaluation Vol. 67; no. 3; pp. 141 - 159
Main Authors:	Özkasap, Öznur, Çağlar, Mine, Yazıcı, Emine Şule, Küçükçifçi, Selda
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-03-2010
Subjects:	Anti-entropy Counting Delay Epidemic Markov chain Overhead Peer-to-peer Self-organizing Epidemic Markov chain Self-organizing Anti-entropy Peer-to-peer Overhead Counting Delay
Online Access:	Get full text
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