Per flow packet sampling for high-speed network monitoring

  • Authors:
  • Marco Canini;Damien Fay;David J. Miller;Andrew W. Moore;Raffaele Bolla

  • Affiliations:
  • DIST, University of Genoa, Italy;Computer Laboratory, University of Cambridge, UK;Computer Laboratory, University of Cambridge, UK;Computer Laboratory, University of Cambridge, UK;DIST, University of Genoa, Italy

  • Venue:
  • COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
  • Year:
  • 2009

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Abstract

We present a per-flow packet sampling method that enables the real-time classification of high-speed network traffic. Our method, based upon the partial sampling of each flow (i.e., performing sampling at only early stages in each flow's lifetime), provides a sufficient reduction in total traffic (e.g., a factor of five in packets, a factor of ten in bytes) as to allow practical implementations at one Gigabit/s, and, using limited hardware assistance, ten Gigabit/s.