Highly Influential

4 Excerpts

- Published 2008 in 2008 3rd International Conference on Information…

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.

@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}
}