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2011 IEEE 36th Conference on Local Computer Networks (2011)
Bonn
Oct. 4, 2011 to Oct. 7, 2011
ISSN: 0742-1303
ISBN: 978-1-61284-926-3
pp: 333-340
Marc Espelt Palau , Universitat Rovira i Virgili, Dept. of Computer Engineering and Mathematics, Av. Paisos Catalans 26, E-43007 Tarragona, Spain
Pedro Garcia Lopez , Universitat Rovira i Virgili, Dept. of Computer Engineering and Mathematics, Av. Paisos Catalans 26, E-43007 Tarragona, Spain
ABSTRACT
In this paper we present the concept of community downloads as a mechanism to improve the overall performance of BitTorrent clients. A community is a group of nodes interested in the same content working cooperatively inside a swarm. To reinforce this cooperation among community nodes, we designed two new algorithms: Group Rarest-First (piece selection) and Group-Balanced Tit-for-tat (unchoke policy). Our algorithms treat the group as a big node, prioritizing community members and helping them to improve their download ratios. Our validation shows improvements in download time around 20% and up to 71% in different swarm scenarios.
INDEX TERMS
peer-to-peer computing,
CITATION

M. E. Palau and P. G. Lopez, "Improving BitTorrent download times using community partners," 2011 IEEE 36th Conference on Local Computer Networks(LCN), Bonn, 2012, pp. 333-340.
doi:10.1109/LCN.2011.6115313
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