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
Influences on cooperation in BitTorrent communities
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
Measurements, analysis, and modeling of BitTorrent-like systems
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Unified Matrix Treatment of the Fast Walsh-Hadamard Transform
IEEE Transactions on Computers
The Delicate Tradeoffs in BitTorrent-like File Sharing Protocol Design
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
One hop reputations for peer to peer file sharing workloads
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
INFOCOM'10 Proceedings of the 29th conference on Information communications
Understanding peer distribution in the global internet
IEEE Network: The Magazine of Global Internetworking
Public and private BitTorrent communities: a measurement study
IPTPS'10 Proceedings of the 9th international conference on Peer-to-peer systems
Strange bedfellows: community identification in bittorrent
IPTPS'10 Proceedings of the 9th international conference on Peer-to-peer systems
Do incentives build robustness in bit torrent
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Trace Representation and Linear Complexity of Binary th Power Residue Sequences of Period
IEEE Transactions on Information Theory
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BitTorrent, the most popular file delivery system over the Internet, has attracted attention from network operators and researchers for its wide deployment. Recent studies suggest that long-term relationships among BT peers could be explored for peer cooperation, as to achieve better sharing efficiency. However, whether such long-term relationships exist remain unknown. In this paper, we for the first time examine the feasibility of social network based content delivery through the study of Twitter initialized/shared torrents. We show that the peers in such swarms have stronger temporal locality, thus offering great opportunity for improving their degree of sharing. Based on the Hadamard Transform of peers' online behaviors, we develop a social index to quickly locate peers of common patterns. Preliminary PlanetLab experiments indicate that the incorporation of social relations remarkably accelerates the downloading time. The improvement remains noticeable even in a hybrid system with a small set of socially active peers only.