Connection-level Analysis and Modeling of Network Traffic

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameACM Internet Measurement Workshopen_US
dc.citation.firstpage99
dc.citation.lastpage103
dc.citation.locationSan Francisco, CAen_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.accessioned2007-10-31T01:03:37Z
dc.date.available2007-10-31T01:03:37Z
dc.date.issued2001-11-01en
dc.date.modified2006-07-17en_US
dc.date.note2006-07-17en_US
dc.date.submitted2001-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractMost network traffic analysis and modeling studies lump all connections together into a single flow. Such aggregate traffic typically exhibits long-range-dependent (LRD) correlations and non-Gaussian marginal distributions. Importantly, in a typical aggregate traffic model, traffic bursts arise from many connections being active simultaneously. In this paper, we develop a new framework for analyzing and modeling network traffic that moves beyond aggregation by incorporating connection-level information. A careful study of many traffic traces acquired in different networking situations reveals (in opposition to the aggregate modeling ideal) that traffic bursts typically arise from just a few high-volume connections that dominate all others. We term such dominating connections alpha traflc. Alpha traffic is caused by large file transmissions over high bandwidth links and is extremely bursty (non-Gaussian). Stripping the alpha traffic from an aggregate trace leaves a beta traf/ic residual that is Gaussian, LRD, and shares the same fractal scaling exponent as the aggregate traffic. Beta traffic is caused by both small and large file transmissions over low bandwidth links. In our alpha/beta traffic model, the heterogeneity of the network resources give rise to burstiness and heavy-tailed connection durations give rise to LRD. Queuing experiments suggest that the alpha component dictates the tail queue behavior for large queue sizes, whereas the beta component controls the tail queue behavior for small queue sizes.en_US
dc.description.sponsorshipDefense Advanced Research Projects Agencyen_US
dc.description.sponsorshipOffice of Naval Researchen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationS. Sarvotham, R. H. Riedi and R. G. Baraniuk, "Connection-level Analysis and Modeling of Network Traffic," 2001.
dc.identifier.doihttp://dx.doi.org/10.1145/505202.505215en_US
dc.identifier.urihttps://hdl.handle.net/1911/20316
dc.language.isoeng
dc.subjectnetwork traffic modeling*
dc.subjectanimal kingdom*
dc.subject.keywordnetwork traffic modelingen_US
dc.subject.keywordanimal kingdomen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleConnection-level Analysis and Modeling of Network Trafficen_US
dc.typeConference paper
dc.type.dcmiText
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