Small-Time Scaling Behavior of Internet Backbone Traffic

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dc.citation.bibtexNamearticleen_US
dc.citation.firstpage315en_US
dc.citation.issueNumber3en_US
dc.citation.journalTitleComputer Networksen_US
dc.citation.lastpage334en_US
dc.citation.volumeNumber48en_US
dc.contributor.authorRibeiro, Vinay Josephen_US
dc.contributor.authorZhang, Zhi-Lien_US
dc.contributor.authorMoon, Sueen_US
dc.contributor.authorDiot, Christopheen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:00:45Zen_US
dc.date.available2007-10-31T01:00:45Zen_US
dc.date.issued2005-06-01en_US
dc.date.modified2005-12-09en_US
dc.date.submitted2005-10-07en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe perform an extensive wavelet analysis of Internet backbone traffic signals to observe and understand the causes of small-time (sub-seconds) scaling phenomena present in them. We observe that for a majority of the traffic traces, the (second-order) scaling exponents at small time scales (1ms - 100ms) are fairly close to 0.5, indicating that traffic fluctuations at these time scales are (nearly) uncorrelated. Some traces, however, do exhibit moderately large scaling exponents (approximately 0.7) at small time scales. In addition, the traces manifest mostly monofractal behaviors at small time scales. To identify the network causes of the observed scaling behavior, we analyze the flow composition of the traffic along two dimensions -- flow size and flow density. Our study points to the dense flows (i.e., flows with bursts of densely clustered packets) as the correlation-causing factor in small time scales, and reveals that the traffic composition in terms of proportions of dense vs. sparse flows plays a major role in influencing the small-time scalings of aggregate traffic. Since queuing inside routers is strongly influenced by traffic fluctuations at small time-scales, our observations and results have significant implications in networking modeling, service provisioning and traffic engineering.en_US
dc.identifier.citationV. J. Ribeiro, Z. Zhang, S. Moon and C. Diot, "Small-Time Scaling Behavior of Internet Backbone Traffic," <i>Computer Networks,</i> vol. 48, no. 3, 2005.en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.comnet.2004.11.012en_US
dc.identifier.urihttps://hdl.handle.net/1911/20258en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.subjectnetworksen_US
dc.subjectlong range dependenceen_US
dc.subjectscalingen_US
dc.subjectshort time scalesen_US
dc.subjectbackboneen_US
dc.subject.keywordnetworksen_US
dc.subject.keywordlong range dependenceen_US
dc.subject.keywordscalingen_US
dc.subject.keywordshort time scalesen_US
dc.subject.keywordbackboneen_US
dc.subject.otherSignal Processing for Networkingen_US
dc.titleSmall-Time Scaling Behavior of Internet Backbone Trafficen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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