Multiscale Nature of Network Traffic
dc.citation.bibtexName | article | en_US |
dc.citation.firstpage | 28 | en_US |
dc.citation.issueNumber | 3 | en_US |
dc.citation.journalTitle | IEEE Signal Processing Magazine | en_US |
dc.citation.lastpage | 46 | en_US |
dc.citation.volumeNumber | 19 | en_US |
dc.contributor.author | Abry, Patrice | en_US |
dc.contributor.author | Baraniuk, Richard G. | en_US |
dc.contributor.author | Flandrin, Patrick | en_US |
dc.contributor.author | Riedi, Rudolf H. | en_US |
dc.contributor.author | Veitch, Darryl | en_US |
dc.contributor.org | Center for Multimedia Communications (http://cmc.rice.edu/) | en_US |
dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
dc.date.accessioned | 2007-10-31T00:44:04Z | en_US |
dc.date.available | 2007-10-31T00:44:04Z | en_US |
dc.date.issued | 2002-05-01 | en_US |
dc.date.modified | 2006-06-19 | en_US |
dc.date.submitted | 2002-05-09 | en_US |
dc.description | Journal Paper | en_US |
dc.description.abstract | The complexity and richness of telecommunications traffic is such that one may despair to find any regularity or explanatory principles. Nonetheless, the discovery of scaling behavior in tele-traffic has provided hope that parsimonious models can be found. The statistics of scaling behavior present many challenges, especially in non-stationary environments. In this paper, we overview the state of the art in this area, focusing on the capabilities of the wavelet transform as a key tool for unravelling the mysteries of traffic statistics and dynamics. | en_US |
dc.description.sponsorship | National Science Foundation | en_US |
dc.identifier.citation | P. Abry, R. G. Baraniuk, P. Flandrin, R. H. Riedi and D. Veitch, "Multiscale Nature of Network Traffic," <i>IEEE Signal Processing Magazine,</i> vol. 19, no. 3, 2002. | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/79.998080 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/19886 | en_US |
dc.language.iso | eng | en_US |
dc.subject | Computer network traffic | en_US |
dc.subject | Tele-traffic | en_US |
dc.subject | Wavelets | en_US |
dc.subject | Scaling | en_US |
dc.subject | Self-similarity | en_US |
dc.subject | Long-Range Dependence | en_US |
dc.subject | Fractals | en_US |
dc.subject | Multifractals | en_US |
dc.subject | Cascade Processes | en_US |
dc.subject | Multipli | en_US |
dc.subject.keyword | Computer network traffic | en_US |
dc.subject.keyword | Tele-traffic | en_US |
dc.subject.keyword | Wavelets | en_US |
dc.subject.keyword | Scaling | en_US |
dc.subject.keyword | Self-similarity | en_US |
dc.subject.keyword | Long-Range Dependence | en_US |
dc.subject.keyword | Fractals | en_US |
dc.subject.keyword | Multifractals | en_US |
dc.subject.keyword | Cascade Processes | en_US |
dc.subject.keyword | Multipli | en_US |
dc.subject.other | Wavelet based Signal/Image Processing | en_US |
dc.subject.other | Multiscale Methods | en_US |
dc.subject.other | Signal Processing for Networking | en_US |
dc.subject.other | Multifractals | en_US |
dc.subject.other | Signal Processing Applications | en_US |
dc.title | Multiscale Nature of Network Traffic | en_US |
dc.type | Journal article | en_US |
dc.type.dcmi | Text | en_US |
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