Multiscale nature of network traffic
Copyright policy )Multiscale nature of network traffic
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.
- École Normale Supérieure de Lyon France
- Monash University Australia
- University of Melbourne Australia
- Dignity Health United States
- Rice University United States
Signal Processing Applications, Tele-traffic, Wavelet based Signal/Image Processing, Wavelets, Multifractals, Cascade Processes, Scaling, Long-Range Dependence, Computer network traffic, Self-similarity, Fractals, Multipli, Signal Processing for Networking, Multiscale Methods
Signal Processing Applications, Tele-traffic, Wavelet based Signal/Image Processing, Wavelets, Multifractals, Cascade Processes, Scaling, Long-Range Dependence, Computer network traffic, Self-similarity, Fractals, Multipli, Signal Processing for Networking, Multiscale Methods
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