Analysis of packet transmission processes in peer-to-peer networks by statistical inference methods

  • Authors:
  • Natalia M. Markovich;Udo R. Krieger

  • Affiliations:
  • Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia;WIAI, Otto-Friedrich-University, Bamberg, Germany

  • Venue:
  • DataTraffic Monitoring and Analysis
  • Year:
  • 2013

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Abstract

Applying advanced statistical techniques, we characterize the peculiarities of a locally observed peer population in a popular P2P overlay network. The latter is derived from a mesh-pull architecture. Using flow data collected at a single peer, we show how Pareto and Generalized Pareto models can be applied to classify the local behavior of the population feeding a peer. Our approach is illustrated both by file sharing data of a P2P session generated by a mobile BitTorrent client in a WiMAX testbed and by video data streamed to a stationary client in a SopCast session. These techniques can help us to cope with an efficient adaptation of P2P dissemination protocols to mobile environments.