A New Measuring and Fitting Approach to a Hierarchical MMPP Traffic Modeling

This paper firstly reviews long range-dependence (LRD), self-similarity and scaling in network traffic traces. After remarking on several hierarchical MMPP models, we focus on a promising model. We search intrinsic orderliness and obtain approximate relations in the measured traffic trace by the AV estimator. Then, the paper gives a more accurate fitting approach for model parameters through interactive self-study method, which exploits two-level matches and shows its good efficiency. Finally some conclusions are given