Network Traffic Modeling using a Multifractal Wavelet Model

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameEuropean Congress of Mathematicsen_US
dc.citation.firstpage609en_US
dc.citation.lastpage618en_US
dc.citation.locationBarcelona, Spainen_US
dc.contributor.authorRiedi, Rudolf H.en_US
dc.contributor.authorRibeiro, Vinay Josephen_US
dc.contributor.authorCrouse, Matthewen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:01:30Zen_US
dc.date.available2007-10-31T01:01:30Zen_US
dc.date.issued2000-07-01en_US
dc.date.modified2006-07-24en_US
dc.date.note2006-07-19en_US
dc.date.submitted2000-07-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractIn this paper, we develop a simple and powerful multiscale model for syntheizing nonFaussian, long-range dependent (LRD) network traffic. Although wavelets effectively decorrelate LRD data, wavelet-based models have generally been restricted by a Gaussianity assumption that can be un-realistic for traffic. Using a multiplicative superstructure on top of the Haar wavelet transform, we exploit the decorrelating properties of wavelets while simultaneously capturing the positivity and "spikiness" of nonGaussian traffic. This leads to a swift O(N) algorithm for fitting and synthesizing N-point data sets. The resulting model belongs to the class of multifractal cascades, a set of processes with rich statistical properties. We elucidate our model's ability to capture the covariance structure of real data and then fit it to real traffic traces. Queueing experiments demonstrate the accuracy of the model for matching real data.en_US
dc.description.sponsorshipTexas Instrumentsen_US
dc.description.sponsorshipDefense Advanced Research Projects Agencyen_US
dc.description.sponsorshipOffice of Naval Researchen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationR. H. Riedi, V. J. Ribeiro, M. Crouse and R. G. Baraniuk, "Network Traffic Modeling using a Multifractal Wavelet Model," 2000.en_US
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-0348-8266-8_54en_US
dc.identifier.urihttps://hdl.handle.net/1911/20275en_US
dc.language.isoengen_US
dc.subjectlong range dependent network trafficen_US
dc.subject.keywordlong range dependent network trafficen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleNetwork Traffic Modeling using a Multifractal Wavelet Modelen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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