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.