Abstract | ||
---|---|---|
Locality promotion in P2P content distribution networks is currently a major research topic. One of the goals of all discussed approaches is to reduce the interdomain traffic that causes high costs for ISPs. However, the focus of the work in this field is generally on the type of locality information that is provided to the overlay and on the entities that exchange this information. An aspect that is mostly neglected is how this information is used by the peers. In this paper, we consider the predominant approach of Biased Neighbor Selection and compare it with Biased Unchoking, which is an alternative locality aware peer selection strategy that we propose in this paper. We show that both mechanisms complement each other for the BitTorrent file sharing application and achieve the best performance when combined. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/P2P.2009.5284527 | 2009 IEEE Ninth International Conference on Peer-to-Peer Computing |
Keywords | Field | DocType |
biased neighbor selection,biased unchoking,P2P content distribution networks,peer-to-peer network,P2P locality information,BitTorrent file sharing application,inter-domain traffic reduction,Internet service providers | Locality,Computer science,Server,Computer network,Network topology,Bandwidth (signal processing),BitTorrent,File sharing,Overlay,The Internet,Distributed computing | Conference |
ISSN | ISBN | Citations |
2161-3559 | 978-1-4244-5066-4 | 20 |
PageRank | References | Authors |
1.06 | 9 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simon Oechsner | 1 | 245 | 20.95 |
Frank Lehrieder | 2 | 203 | 16.57 |
Tobias Hoßfeld | 3 | 1734 | 136.57 |
Florian Metzger | 4 | 39 | 2.92 |
Konstantin Pussep | 5 | 195 | 13.86 |
Dirk Staehle | 6 | 431 | 44.71 |