Predicting the Impact of Measures Against P2P Networks on the Transient Behaviors

Eitan Altman 1 Philippe Nain 1 Adam Shwartz 2 Yuedong Xu 1
1 MAESTRO - Models for the performance analysis and the control of networks
CRISAM - Inria Sophia Antipolis - Méditerranée
2 Department of Electrical Engineering
EE-Technion - Department of Electrical Engineering - Technion [Haïfa]
Abstract : The paper has two objectives. The first is to study rigorously the transient behavior of some P2P networks whenever information is replicated and disseminated according to epidemic-like dynamics. The second is to use the insight gained from the previous analysis in order to predict how efficient are measures taken against peer-to-peer (P2P) networks. We first introduce a stochastic model which extends a classical epidemic model and characterize the P2P swarm behavior in presence of free riding peers. We then study a second model in which a peer initiates a contact with another peer chosen randomly. In both cases the network is shown to exhibit a phase transition: a small change in the parameters causes a large change in the behavior of the network. We show, in particular, how the phase transition affects measures that content provider networks may take against P2P networks that distribute non-authorized music or books, and what is the efficiency of counter-measures.
Type de document :
Communication dans un congrès
IEEE Infocom, Apr 2011, Shangai, China. 2010
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Soumis le : mercredi 7 décembre 2011 - 13:58:28
Dernière modification le : samedi 27 janvier 2018 - 01:31:41
Document(s) archivé(s) le : jeudi 8 mars 2012 - 02:20:56


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  • HAL Id : hal-00648867, version 1
  • ARXIV : 1009.2230



Eitan Altman, Philippe Nain, Adam Shwartz, Yuedong Xu. Predicting the Impact of Measures Against P2P Networks on the Transient Behaviors. IEEE Infocom, Apr 2011, Shangai, China. 2010. 〈hal-00648867〉



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