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1 IIE - Institute of Information Engineering Beijing 2 Institute of Computing Technology 3 UCAS - Graduate University of Chinese Beijing 4 IBM T.J. Watson Research Center 5 CSE - Department of Computer Science and Engineering

Abstract : Peer-to-Peer P2P techniques are broadly adopted in modern applications such as Xunlei and Private Tracker 1,2. To address the problem of service availability, techniques such as bundling and implicit uploading are suggested to increase the swarm lifespan, i.e., the duration between the birth and the death of a swarm, by motivating or even forcing peers to make more contributions. In these systems, it is common for a peer to join a swarm repeatedly, which can introduce substantial bias for lifespan modeling and prediction. In this paper, we present a mathematical model to study the lifespan of a P2P swarming system in the presence of multi-participation. We perform evaluations on three traces and a well-known simulator. The result demonstrates that our model is more accurate than previous ones.

Keywords : peer-to-peer modeling evolution lifespan





Autor: Yong Zhao - Zhibin Zhang - Ting He - Alex Liu - Li Guo - Binxing Fang -

Fuente: https://hal.archives-ouvertes.fr/



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