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Small-Time Scaling Behavior of Internet Backbone Traffic

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dc.contributor.author Ribeiro, Vinay Joseph
Zhang, Zhi-Li
Moon, Sue
Diot, Christophe
dc.creator Ribeiro, Vinay Joseph
Zhang, Zhi-Li
Moon, Sue
Diot, Christophe
dc.date.accessioned 2007-10-31T01:00:45Z
dc.date.available 2007-10-31T01:00:45Z
dc.date.issued 2005-06-01
dc.date.submitted 2005-10-07
dc.identifier.uri http://hdl.handle.net/1911/20258
dc.description Journal Paper
dc.description.abstract We 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.
dc.publisher Elsevier
dc.subject networks
long range dependence
scaling
short time scales
backbone
dc.subject.other Signal Processing for Networking
dc.title Small-Time Scaling Behavior of Internet Backbone Traffic
dc.type Journal Paper
dc.citation.bibtexName article
dc.citation.journalTitle Computer Networks
dc.date.modified 2005-12-09
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword networks
long range dependence
scaling
short time scales
backbone
dc.citation.volumeNumber 48
dc.citation.pageNumber 315-334
dc.citation.issueNumber 3
dc.identifier.citation V. J. Ribeiro, Z. Zhang, S. Moon and C. Diot, "Small-Time Scaling Behavior of Internet Backbone Traffic," Computer Networks, vol. 48, no. 3, pp. 315-334, 2005.
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    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [512 items]
    Publications by Rice Faculty and graduate students in digital signal processing.