DocumentCode
2811893
Title
Improving BitTorrent download times using community partners
Author
Palau, Marc Espelt ; López, Pedro García
Author_Institution
Dept. of Comput. Eng. & Math., Univ. Rovira i Virgili, Tarragona, Spain
fYear
2011
fDate
4-7 Oct. 2011
Firstpage
333
Lastpage
340
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.
Keywords
peer-to-peer computing; BitTorrent clients; BitTorrent download; community downloads; community nodes; community partners; group rarest-first; group-balanced tit-for-tat; Algorithm design and analysis; Bandwidth; Collaboration; Communities; Measurement; Peer to peer computing; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks (LCN), 2011 IEEE 36th Conference on
Conference_Location
Bonn
ISSN
0742-1303
Print_ISBN
978-1-61284-926-3
Type
conf
DOI
10.1109/LCN.2011.6115313
Filename
6115313
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