On the Performance of Matching MMPP to SRD and LRD Traffic Using Algorithm LAMBDA

Abstract

Markov-modulated Poisson process (MMPP) is one of the popular non-self-similar schemes for modeling network traffic. They are used for modeling both short-range dependent (SRD) and long-range dependent (LRD) traffic. The paper verifies Algorithm LAMBDA for fitting MMPP to synthetic traffic and evaluates the accuracy of the fitted MMPP model. We provide evidence that, for self-similar traffic, the performance highly depends on Hurst parameter. In some cases, the algorithm exhibits some inaccuracy in mean queuing delays. We try to modify it by a simple change in order to make the algorithm adaptive, and consequently, make the results more realistic.

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Cite this paper

@article{Shirazinia2008OnTP, title={On the Performance of Matching MMPP to SRD and LRD Traffic Using Algorithm LAMBDA}, author={A. Shirazinia and S. Ebrahim Safavi and E. N. Shariati}, journal={2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications}, year={2008}, pages={1-6} }