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
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Measurements, analysis, and modeling of BitTorrent-like systems
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Should internet service providers fear peer-assisted content distribution?
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
One hop reputations for peer to peer file sharing workloads
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
P4p: provider portal for applications
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Locality-awareness in BitTorrent-like P2P applications
IEEE Transactions on Multimedia - Special section on communities and media computing
Content availability and bundling in swarming systems
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Dynamic swarm management for improved BitTorrent performance
IPTPS'09 Proceedings of the 8th international conference on Peer-to-peer systems
On blind mice and the elephant: understanding the network impact of a large distributed system
Proceedings of the ACM SIGCOMM 2011 conference
The bittorrent p2p file-sharing system: measurements and analysis
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
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The fast-growing traffic of peer-to-peer (P2P) applications, most notably BitTorrent, is putting unprecedented pressure to Internet Service Providers (ISPs). P2P locality has therefore been widely suggested to mitigate the costly inter-ISP traffic. In this paper, we find that even in the most popular ASes (Autonomous Systems), very few individual torrents are able to form large enough local clusters of peers, making state-of-the-art locality mechanisms for individual torrents quite inefficient. Inspired by peers' multiple torrent behavior, we develop a novel framework that traces and recovers the available contents at peers across multiple torrents, and thus effectively amplifies the possibilities of local sharing. We address some key design issues in this framework; in particular, we discuss the detection of peer migration and further explore the trends of improving peers' incentive. We develop a smart detection mechanism with shared trackers, which achieves 45% success rate without any tracker-level communication overhead. Our trace-based simulation results indicate that our framework can successfully reduce the cross-ISP traffic and minimize the possible degradation of peers' downloading experiences.