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
Clustering and sharing incentives in BitTorrent systems
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
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
Locality-awareness in BitTorrent-like P2P applications
IEEE Transactions on Multimedia - Special section on communities and media computing
Dynamic swarm management for improved BitTorrent performance
IPTPS'09 Proceedings of the 8th international conference on Peer-to-peer systems
On the locality of BitTorrent-based video file swarming
IPTPS'09 Proceedings of the 8th international conference on Peer-to-peer systems
On long-term social relationships in peer-to-peer systems
Proceedings of the Nineteenth International Workshop on Quality of Service
Enhancing peer-to-peer traffic locality through selective tracker blocking
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
| Hi-index | 0.00 |
The fast-growing traffic of peer-to-peer applications, most notably BitTorrent, is putting unprecedented pressure to Internet service providers. Understanding the peer distribution over the global Internet thus becomes critical toward building new generation of ISP-friendly peer-to-peer systems. There are unfortunately significant scalability and representability challenges in measuring and understanding real-world peer distribution. In this article we demonstrate a novel hybrid measurement methodology that uses the PlanetLab as a distributed probing platform to interact with BitTorrent trackers and peers in the global Internet. Our design achieves fast real-time scanning of genuine online peers; yet we carefully avoid the potential copyright infringement and traffic overhead for PlanetLab. From three months' data of over 9 million peers, we identify fundamental issues in conventional traffic locality designs, and also shed new light on re-engineering trackers and reusing historically downloaded data to make BitTorrent a better storage system.