Comparison of steady-state methods computing Markov modulated fluid models

Wassim  Abbessi; Hédi  Nabli

1st International ICST Conference on Simulation Tools and Techniques for Communications, Networks and Systems

Research Article

Comparison of steady-state methods computing Markov modulated fluid models

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@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2008.3012 ,
    author={Wassim  Abbessi and H\^{e}di  Nabli},
    title={Comparison of steady-state methods computing Markov modulated fluid models},
    proceedings={1st International ICST Conference on Simulation Tools and Techniques for Communications, Networks and Systems},
    publisher={ICST},
    proceedings_a={SIMUTOOLS},
    year={2010},
    month={5},
    keywords={},
    doi={10.4108/ICST.SIMUTOOLS2008.3012 }
}

Wassim Abbessi
Hédi Nabli
Year: 2010
Comparison of steady-state methods computing Markov modulated fluid models
SIMUTOOLS
ICST
DOI: 10.4108/ICST.SIMUTOOLS2008.3012

Wassim Abbessi¹^,*, Hédi Nabli²^,*

1: Ecole Nationale des Sciences de l’Informatique, Campus universitaire Manouba, Manouba 2010, Tunisia.
2: Institut Supérieur d’Informatique et de Mathématiques, B.P.223, Monastir 5000, Tunisia.

*Contact email: wassim.abbessi@gmail.com, hedi.nabli@fsm.rnu.tn

Abstract

The Markov-modulated fluid models (MMFM) are widely used in networks modeling. They assimilate the network traffic to a fluid generated by sources at a rate controlled by a background Markov process. Bursts of data are considered as continuous fluid flows and variations of cell inter-arrival times are assumed too small compared with the burst times for traffic evolving periodically in different timescales.

Published: 2010-05-16
Publisher: ICST

: http://dx.doi.org/10.4108/ICST.SIMUTOOLS2008.3012

Comparison of steady-state methods computing Markov modulated fluid models

Abstract

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