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
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
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Understanding peer distribution in the global internet
IEEE Network: The Magazine of Global Internetworking
NPA-BT: a network performance aware BitTorrent traffic optimization mechanism
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
Characterization of BitTorrent swarms and their distribution in the Internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mitigating unfairness in locality-aware peer-to-peer networks
International Journal of Network Management
Collaboration between ISPs for efficient overlay traffic management
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
Quantifying downloading performance of locality-aware bittorrent protocols
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
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In the past few years, there have been tremendous interest in the peer-to-peer(P2P) content delivery. Although this communication paradigm does not need a dedicated server infrastructure, it dramatically increases the traffic over inter-ISP links. In particular, the most popular P2P application, BitTorrent(BT) generates a huge amount of traffic on the Internet. To address this challenge, P2P locality has been examined, which 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 affects 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 a 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.