Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
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
The design trade-offs of BitTorrent-like file sharing protocols
IEEE/ACM Transactions on Networking (TON)
Content availability and bundling in swarming systems
Proceedings of the 5th international conference on Emerging networking experiments and technologies
INFOCOM'10 Proceedings of the 29th conference on Information communications
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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Peer-to-peer (P2P) file sharing systems, most notably BitTorrent (BT), have achieved tremendous success among Internet users. Although this communication paradigm does not need a dedicated server infrastructure, it is putting unprecedented traffic pressure to Internet Service Providers (ISPs) over inter-ISP links. P2P locality has therefore been examined to address this challenge. Such an approach explores the access to local resources to optimize the inter-ISP traffic. However, most of these approaches have focused on a global strategy, and attempted to change the peer selection mechanism, which potentially affect the random topology of BT and thus reduces its robustness. The content and the peer diversities are seldom discussed, particularly the video file swarms of distinct characteristics. In this paper, we for the first time examine the different BT contents and peer properties in regards to the locality issues through a large-scale measurement. We demonstrate the distinct characteristics of video file swarms, and find that the distribution of the AS clusters (a set of peers belonging to the same AS) follows the Mandelbrot-Zipf law. Our results also suggest that the peer in few ASes are more likely to form large AS clusters and most ASes on the Internet do not have enough potential for locality. Therefore, a global locality approach may not be our best choice. We then address the problem through a selective locality approach based on a novel peer prediction method.