A task-based model for the lifespan of peer-to-peer swarms

Authors:
Yong Zhao;Zhibin Zhang;Ting He;Alex X. Liu;Li Guo;Binxing Fang
Affiliations:
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China,Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China,Graduate University, Chinese Academ ...;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;IBM T.J. Watson Research Center, Hawthorne, NY;Department of Computer Science and Engineering, Michigan State University, MI;Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China;Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
Venue:
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
Year:
2012

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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.