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S. Sen and J. Wang, "Analyzing Peer-to-Peer Traffic across Large Networks", in IEEE/ACM Transactions on Networking 2004, Oct 2004.
Analyzing Peer-to-Peer Traffic across Large Networks
Authors: S. Sen
J. Wang
Published: IEEE/ACM Transactions on Networking, 2004
Entry Dates: 2009-02-11
Abstract: The use of peer-to-peer (P2P) applications is growing dramatically, particularly for sharing large video/audio files and software. In this paper, we analyze P2P traffic by measuring flow-level information collected at multiple border routers across a large ISP network, and report our investigation of three popular P2P systems-FastTrack, Gnutella, and DirectConnect. We characterize the P2P traffic observed at a single ISP and its impact on the underlying network. We observe very skewed distribution in the traffic across the network at different levels of spatial aggregation (IP, prefix, AS). All three P2P systems exhibit significant dynamics at short times scale and particularly at the IP address level. Still, the fraction of P2P traffic contributed by each prefix is much more stable than the corresponding distribution of eitherWeb traffic or overall traffic. The high volume and good stability properties of P2P traffic indicates that the P2P workload is a good candidate for being managed via application-specific layer-3traffic engineering in an ISP's network.
  • datasets:800 million flow-level records collected at multiple border routers across the ISP's network over a period of 3 months;
  • only focus on three popular P2P systems: FastTrack, Gnutella and DirectConnect;
  • the traffic volume of individual hosts is extremely variable at IP, prefix and AS levels; connectivity between different hosts is highly skewed; the P2P systems exhibit much more stability and persistence at the prefix and AS aggregation levels;
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