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dc.contributor.authorRiedi, Rudolf H.
Willinger, Walter
dc.creatorRiedi, Rudolf H.
Willinger, Walter
dc.date.accessioned 2007-10-31T01:01:28Z
dc.date.available 2007-10-31T01:01:28Z
dc.date.issued 1999-06-20
dc.date.submitted 1999-06-20
dc.identifier.urihttps://hdl.handle.net/1911/20274
dc.description Conference Paper
dc.description.abstract Since the discovery of long range dependence in Ethernet LAN traces there has been significant progress in developing appropriate mathematical and statistical techniques that provide a physical-based, networking-related understanding of the observed fractal-like or self-similar scaling behavior of measured data traffic over time scales ranging from hundreds of milliseconds to seconds and beyond. These developments have helped immensely in demystifying fractal-based traffic modeling and have given rise to new insights and physical understanding of the effects of large-time scaling properties in measured network traffic on the design, management and performance of high-speed networks. However, to provide a complete description of data network traffic, the same kind of understanding is necessary with respect to the dynamic nature of traffic over small time scales, from a few hundreds of milliseconds downwards. Because of the predominant protocols and end-to-end congestion control mechanisms that determine the flow of packets, studying the fine-time scale behavior or local characteristics of data traffic is intimately related to understanding the complex interactions that exist in data networks. In this chapter, we first summarize the results that provide a unifying and consistent picture of the large-time scaling behavior of data traffic. We then report on recent progress in studying the small-time scaling behavior in data network traffic and outline a number of challenging open problems that stand in the way of providing an understanding of the local traffic characteristics that is as plausible, intuitive, appealing and relevant as the one that has been found for the global or large-time scaling properties of data traffic.
dc.language.iso eng
dc.subjectTemporary
dc.subject.otherSignal Processing for Networking
dc.title Toward an Improved Understanding of Network Traffic Dynamics
dc.type Conference paper
dc.date.note 2004-01-13
dc.citation.bibtexName inproceedings
dc.date.modified 2004-01-22
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordTemporary
dc.citation.conferenceName Self-similar Network Traffic and Performance Evaluation, eds Park and Willinger, Wiley
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation R. H. Riedi and W. Willinger, "Toward an Improved Understanding of Network Traffic Dynamics," 1999.


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1321]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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