A Methodology for P2P File-Sharing Traffic Detection
HOT-P2P '05 Proceedings of the Second International Workshop on Hot Topics in Peer-to-Peer Systems
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
BitTorrent Traffic Characteristics
ICCGI '06 Proceedings of the International Multi-Conference on Computing in the Global Information Technology
Analyzing Multiple File Downloading in BitTorrent
ICPP '06 Proceedings of the 2006 International Conference on Parallel Processing
Analyzing BitTorrent Traf?c Across Large Network
CW '08 Proceedings of the 2008 International Conference on Cyberworlds
Computer Networking: A Top-Down Approach
Computer Networking: A Top-Down Approach
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Since the advent of peer-to-peer (P2P) services and applications, they have kept on growing in popularity and more and more people are using them as time progresses. Currently P2P traffic occupies a significant fraction of nearly 70% internet traffic. With the traffic demand for P2P applications being the highest, the ISPs are facing problems to handle the traffic and to provide optimum efficiency on internet services. Attempts made by ISPs to control P2P traffic result in degraded download services for the clients on the other hand. This paper compares and contrasts the different methods which are usually employed to control internet traffic due to P2P activities. We show that the external torrent download method, or its extension, the extra-locality torrent download method, are most optimum when it comes to handling internet traffic. These approaches are the most beneficial to the users as well as the ISPs.