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Predicting the impact of measures against p2p networks: transient behavior and phase transition (2011).
| Content Provider | CiteSeerX |
|---|---|
| Author | Altman, Eitan Nain, Philippe Shwartz, Adam Xu, Yuedong |
| Abstract | The paper has two objectives. The first is to study rigorously the transient behavior of some peer-to-peer (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 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 phase transitions: a small change in the parameters causes a large change in the behavior of the network. We show, in particular, how phase transitions affect measures of content providers against P2P networks that distribute non-authorized music, books or articles, and what is the efficiency of counter-measures. In addition, our analytical framework can be generalized to characterize the heterogeneity of cooperative peers. |
| File Format | |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Subject Keyword | Phase Transition Transient Behavior Measure P2p Network P2p Network Classical Epidemic Model Small Change Stochastic Model Previous Analysis Analytical Framework Distribute Non-authorized Music P2p Swarm Behavior Cooperative Peer Second Model Epidemic-like Dynamic Content Provider Large Change |
| Content Type | Text |
