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

Yong Zhao, Zhibin Zhang, Ting He, Alex X. Liu, Li Guo, Binxing Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationNETWORKING 2012 - 11th International IFIP TC 6 Networking Conference, Proceedings
Pages71-83
Number of pages13
EditionPART 2
DOIs
StatePublished - 2012
Event11th International IFIP TC 6 Networking Conference, NETWORKING 2012 - Prague, Czech Republic
Duration: May 21 2012May 25 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7290 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International IFIP TC 6 Networking Conference, NETWORKING 2012
CountryCzech Republic
CityPrague
Period5/21/125/25/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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