Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Transport layer identification of P2P traffic
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Understanding churn in peer-to-peer networks
Proceedings of the 6th 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
Modeling and Caching of Peer-to-Peer Traffic
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
A modeling framework of content pollution in Peer-to-Peer video streaming systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Recent measurement studies have shown that traffic generated by peer-to-peer (P2P) file-sharing applications has started to dominate the bandwidth consumption on Internet access links. The prevailing use of P2P applications carries with it significant implications for Internet Service Providers (ISPs): on the one hand increased levels of P2P traffic result in additional costs for an ISP, which has to provide a satisfactory service level to its subscribers. On the other hand, P2P applications are a major driving force for the adoption of broadband access, which is a significant source of revenue for the ISPs. A successful strategy to manage P2P traffic must address both the ISP perspective of costs and the subscriber perspective of quality of service. While several practical solutions have been identified to manage P2P traffic in a network, no analytical studies have been proposed so far to evaluate their effectiveness in specific contexts. In this paper we propose a modeling framework that allows the optimal strategy to be identified for an ISP as a function of the several factors that come into play. In particular, our model shows that P2P-friendly solutions become lucrative when the ISP can attract a sufficiently large number of subscribers. Our modeling framework also illustrates several other interesting phenomena that occur in the tussle between the ISP and its subscribers.