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Improving BitTorrent download times using community partners

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.