PlanetLab: an overlay testbed for broad-coverage services
ACM SIGCOMM Computer Communication Review
Locating internet bottlenecks: algorithms, measurements, and implications
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Modeling and performance analysis of BitTorrent-like peer-to-peer networks
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Clustering and sharing incentives in BitTorrent systems
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Poor man's broadband: peer-to-peer dialup networking
ACM SIGCOMM Computer Communication Review
Bittorrent is an auction: analyzing and improving bittorrent's incentives
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Do incentives build robustness in bit torrent
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
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BitTorrent is a hugely popular peer-to-peer file sharing system. In countries where broadband Internet is widespread, BitTorrent accounts for as much as 70% of the overall Internet traffic. In contrast, in developing countries, BitTorrent is almost unusable on the typically low bandwidth dialup connections. In this paper, we present a BitTorrent client called BitMate that is designed to enhance the performance of hosts with low-bandwidth connections. Importantly, BitMate enhances the performance of low-bandwidth nodes without cheating, circumventing the fairness policy of BitTorrent or adversely affecting the performance of other peers. In fact, BitMate drives its performance by scrupulously implementing the fairness philosophy of BitTorrent. BitMate outperforms vanilla BitTorrent by as much as 70% in download performance, while at the same time improving upload contribution by as much as 1000%! BitMate also outperforms strategic clients like BitTyrant in low-bandwidth conditions by as much as 60% in download performance.