Multiscale connection-level analysis of network traffic

Shriram Sarvotham, Rudolf Riedi, Richard Baraniuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. This behavior can be explained by decomposing traffic into two components according to the connection bandwidth: the small bandwidth component absorbs most traffic and is Gaussian, while large bandwidth component constitutes virtually all of the small scale bursts. Based on this understanding, we propose a novel traffic model that parsimoniously accounts for user behavior, network topology, and the heterogeneous distribution of network bandwidths.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
Number of pages5
StatePublished - 2002
EventThe Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States
Duration: Nov 3 2002Nov 6 2002


OtherThe Thirty-Sixth Asilomar Conference on Signals Systems and Computers
Country/TerritoryUnited States
CityPacific Groove, CA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Hardware and Architecture


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