New Results in Multifractal Traffic Analysis and Modeling
نویسنده
چکیده
An alternative but very promising approach of traffic modeling is the use of fractal characterization to describe the high variability and bursty nature of network traffic. The aim of this dissertation is to contribute to this research approach, more precisely, to solve some problems in statistical testing, traffic characterization, modeling, and performance evaluation. First, the implications of non-stationarity on long-range dependence tests are presented. Next, the effects of traffic components in the aggregation are investigated in a comprehensive characterization study. In addition, an investigation of multifractal queuing performance is presented. Finally, a new traffic model is proposed which is able to capture the complete multifractal characteristics of network traffic.
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