Multiscale Connection-Level Analysis of Network Traffic

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage29
dc.citation.lastpage33
dc.citation.locationPacific Grove, CAen_US
dc.citation.volumeNumber1en_US
dc.contributor.authorSarvotham, Shriramen_US
dc.contributor.authorRiedi, Rudolf H.en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:03:42Z
dc.date.available2007-10-31T01:03:42Z
dc.date.issued2002-11-01en
dc.date.modified2006-06-07en_US
dc.date.note2006-06-07en_US
dc.date.submitted2002-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractNetwork 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, a novel traffic model is proposed that parsimoniously accounts for user behavior, network topology, and the heterogeneous distribution of network bandwidths.en_US
dc.identifier.citationS. Sarvotham, R. H. Riedi and R. G. Baraniuk, "Multiscale Connection-Level Analysis of Network Traffic," vol. 1, 2002.
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2002.1197144en_US
dc.identifier.urihttps://hdl.handle.net/1911/20318
dc.language.isoeng
dc.subject.otherDSP for Communicationsen_US
dc.titleMultiscale Connection-Level Analysis of Network Trafficen_US
dc.typeConference paper
dc.type.dcmiText
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