Can self-similar traffic be modeled by Markovian processes?

Robert, Stephan (EPFL, Lausanne, Switzerland) ; Le Boudec, Jean-Yves (EPFL, Lausanne, Switzerland)

In this paper, we compare high time resolution local area network (LAN) traffic with three different traffic models: Poisson, ON-OFF and 5-state Markov process. Due to the measured data's extreme variability on time scales ranging from milliseconds to days, it is difficult to find a model for it, especially a Markovian one. Recent studies show that conventional models do not capture the characteristics of the observed traffic. Fractal-based models have already been built to characterize such a traffic but they are not easily tractable tractability of them is not great. Through a new method which integrates different time scales in the model, we have tried to find a quite simple Markovian process having the same behavior as the measured traffic on the LAN. We show in particular that a simple 5-state Markov process integrating different time scales can reasonably model the behavior of measured traffic up to a certain time interval.


Note: ROBERT, Stephan est un chercheur à la HES-SO, HEIG-VD, depuis 2001.


Keywords:
Conference Type:
published full paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
Publisher:
Zurich, Switzerland, 21-23 February 1996
Date:
1996-02
Zurich, Switzerland
21-23 February 1996
Pagination:
pp. 119-130
Published in:
Lecture Notes in Computer Science ; Proceedings of International Zurich Seminar on Digital Communications IZS 1996: Broadband Communications Networks, Services, Applications, Future Directions, 21-23 February 1996, Zurich, Switzerland
DOI:
ISSN:
0302-9743
ISBN:
978-3-540-60895-0
Appears in Collection:



 Record created 2021-02-19, last modified 2021-02-25


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