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On the Performance of Matching MMPP to SRD and LRD Traffic Using Algorithm LAMBDA
Amirkabir University of Technology (Tehran Polytechnic). (Electrical Engineering Department)
Amirkabir University of Technology (Tehran Polytechnic). (Electrical Engineering Department)
K.N.Toosi University of Technology. (Electrical Engineering Department)
2008 (English)In: 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES: FROM THEORY TO APPLICATIONS, VOLS 1-5, 2008, 2164-2169 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-49645DOI: 10.1109/ICTTA.2008.4530205ISI: 000261578001100OAI: oai:DiVA.org:kth-49645DiVA: diva2:459935
Conference
3rd International Conference on Information and Communication Technologies
Note

QC 20111201

Available from: 2011-11-28 Created: 2011-11-28 Last updated: 2016-05-25Bibliographically approved

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Shirazinia, AmirpashaShariati, Nafiseh
Communication Systems

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