On the Performance of Matching MMPP to SRD and LRD Traffic Using Algorithm LAMBDA
2008 (English)In: 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES: FROM THEORY TO APPLICATIONS, VOLS 1-5, 2008, 2164-2169 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2008. 2164-2169 p.
IdentifiersURN: urn:nbn:se:kth:diva-49645DOI: 10.1109/ICTTA.2008.4530205ISI: 000261578001100OAI: oai:DiVA.org:kth-49645DiVA: diva2:459935
3rd International Conference on Information and Communication Technologies
QC 201112012011-11-282011-11-282016-05-25Bibliographically approved