Title :
On the Performance of Matching MMPP to SRD and LRD Traffic Using Algorithm LAMBDA
Author :
Shirazinia, Amirpasha ; Safavi, S. Mostafa ; Shariati, E.N.
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran
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.
Keywords :
Markov processes; queueing theory; telecommunication traffic; Hurst parameter; LAMBDA algorithm; MMPP; Markov-modulated Poisson process; long-range dependent network traffic modeling; mean queuing delay; short-range dependent network traffic modeling; Delay; Fractals; Internet; Iterative algorithms; MATLAB; Mathematical model; Maximum likelihood estimation; Performance loss; Telecommunication traffic; Traffic control; Hurst Parameter; Long-range Dependency; Markov-modulated Poisson Process; Mean Queuing Delay; Short-range Dependency;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530205
