Internet Traffic Modeling : Markovian Approach to Self-Similar Traffic and Prediction of Loss Probability for Finite Queues

@inproceedings{Kasahara2001InternetTM,
  title={Internet Traffic Modeling : Markovian Approach to Self-Similar Traffic and Prediction of Loss Probability for Finite Queues},
  author={Shoji Kasahara},
  year={2001}
}
It has been reported that IP packet traffic exhibits the self-similar nature and causes the degradation of network performance. Therefore it is crucial for the appropriate buffer design of routers and switches to predict the queueing behavior with self-similar input. It is well known that the fitting methods based on the second-order statistics of counts for the arrival process are not sufficient for predicting the performance of the queueing system with self-similar input. However recent… CONTINUE READING
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Fractal queueing models

  • A. Erramilli, O. Narayan, W. Willinger
  • Frontiers in Queueing, ed. J.H. Dshalalow, pp.245…
  • 1997
Highly Influential
7 Excerpts

Introduction to numerical solution techniques of finite-state Markov chains and its applications

  • T. Takine
  • Preprint, 1995.
  • 1995
Highly Influential
3 Excerpts

On the relationship between queue lengths at a random instant and at a departure in the stationary queue with BMAP arrivals

  • T. Takine, Y. Takahashi
  • Stochastic Models, vol.14, no.3, pp.601–610, 1998…
  • 1998
1 Excerpt

Self-similar traffic generation: The random midpoint displacement algorithm and its properties

  • W.-C. Lau, A. Erramilli, J. L. Wang, W. Willinger
  • Proc. ICC’95, pp.466–472, Seattle, WA, 1995.
  • 1995
2 Excerpts

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