Data networks
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
A Framework of Economic Traffic Management Employing Self-Organization Overlay Mechanisms
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
ProtoPeer: a P2P toolkit bridging the gap between simulation and live deployement
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
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 amount of peer-to-peer (P2P) traffic and its inefficient utilization of network resources make it a high priority for traffic management. Due to the distributed nature of P2P overlays, a promising approach for a management scheme is to change the client behavior and its utilization of overlay connections. However, from the viewpoint of a client, there are different categories of overlay connections. In this paper, we discern between these different types of overlay connections in BitTorrent, the currently most popular P2P file-sharing application. A simulation study of BitTorrent and a video-streaming derivate called Tribler provides insights into the usage of these types of connections for data exchange. Thus, traffic management based on client behavior can be optimized by efficiently targeting connections which carry the most traffic. We also show the implications of these results for locality-awareness mechanisms such as Biased Neighbor Selection and Biased Unchoking.