DocumentCode
1277686
Title
Multiscale nature of network traffic
Author
Abry, Patrice ; Baraniuk, Richard ; Flandrin, Patrick ; Riedi, Rudolf ; Veitch, Darryl
Volume
19
Issue
3
fYear
2002
fDate
5/1/2002 12:00:00 AM
Firstpage
28
Lastpage
46
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 teletraffic has provided hope that parsimonious models can be found. The statistics of scaling behavior present many challenges, especially in nonstationary environments. In this article, we overview the state of the art in this area, focusing on the capabilities of the wavelet transform as a key tool for unraveling the mysteries of traffic statistics and dynamics
Keywords
statistical analysis; telecommunication networks; telecommunication traffic; wavelet transforms; multiscale network traffic; nonstationary environments; parsimonious models; scaling behavior statistics; telecommunications traffic; teletraffic; traffic dynamics; traffic statistics; wavelet transform; Encapsulation; Internet; Rivers; Statistics; TCPIP; Telecommunication traffic; Traffic control; Transport protocols; Wavelet transforms; Wire;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/79.998080
Filename
998080
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