Analysis and modeling of bursty long-range-dependent network traffic

dc.contributor.advisorBaraniuk, Richard G.
dc.creatorSarvotham, Shriram
dc.date.accessioned2009-06-04T08:32:11Z
dc.date.available2009-06-04T08:32:11Z
dc.date.issued2001
dc.description.abstractIn this thesis, we study the cause and impact of burstiness in computer network traffic. A connection-level analysis of traffic at coarse time scales (time scales greater than a round-trip-time) reveals that a single connection dominates during the period of the burst. The number of dominating connections that cause bursts is found to be a small fraction of the total number of connections. Removing the burst causing connections from the traffic yields a trace whose marginal is close to a Gaussian. This observation motivates a network traffic model comprised of two components, namely the Gaussian part and the bursty part. The Gaussian part of the traffic models the aggregate of majority of the connections, whereas the bursty part models the behavior of few dominant connections that transmit data at unusually high rates. The Gaussian component imparts long-range-dependence (LRD) to the traffic, whereas the bursty component gives rise to spikiness. We argue that heterogeneity in bottleneck link speeds gives rise to burstiness, and heavy tailed connection durations results in LRD. We perform simulations in ns to validate the proposed model and synthesize realistic traffic that is both non-Gaussian and LRD. We demonstrate the impact of the bursty component in queueing behavior. Although the bursty component constitutes a small fraction of the total traffic, it significantly affects the queueing behavior, in particular at large queue sizes.
dc.format.extent49 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2001 SARVOTHAM
dc.identifier.citationSarvotham, Shriram. "Analysis and modeling of bursty long-range-dependent network traffic." (2001) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17462">https://hdl.handle.net/1911/17462</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17462
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleAnalysis and modeling of bursty long-range-dependent network traffic
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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