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A Task-Based Model for the Lifespan of Peer-to-Peer Swarms

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.
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Yong Zhao, Zhibin Zhang, Ting He, Alex Liu, Li Guo, et al.. A Task-Based Model for the Lifespan of Peer-to-Peer Swarms. 11th International Networking Conference (NETWORKING), May 2012, Prague, Czech Republic. pp.71-83, ⟨10.1007/978-3-642-30054-7_6⟩. ⟨hal-01531955⟩

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