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Analytical model for topology dependence in peer-to-peer anti-entropy spreading

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We examine spreading of epidemics for an anti-entropy algorithm in networks with various P2P (peer-to-peer) overlay topologies. Neighborhood knowledge among peers and information exchange based on proximity are considered. Our analytical model for SI (Susceptible-Infected) epidemics involves equations for calculating the infection probability of each peer in consecutive epidemic rounds as a function of the topology. Using numerical evaluations, we study the effect of graph properties on dissemination as an aspect of real world P2P overlays

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Bogazici University

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Computer engineering

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Proceedings of ISCN'08 - 8th International Symposium on Computer Networks

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