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
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00648867
Contributeur : Philippe Nain <>
Soumis le : mercredi 7 décembre 2011 - 13:58:28
Dernière modification le : jeudi 11 janvier 2018 - 16:57:58
Document(s) archivé(s) le : jeudi 8 mars 2012 - 02:20:56

Fichiers

v7.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

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

Collections

Citation

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〉

Partager

Métriques

Consultations de la notice

130

Téléchargements de fichiers

90