Chaotic maps for network control: traffic modeling and queueing performance analysis

Raul J. Mondragon; David K. Arrowsmith; John M. Griffiths; Jonathan M. Pitts

doi:10.1117/12.360381

18 August 1999 Chaotic maps for network control: traffic modeling and queueing performance analysis

Raul J. Mondragon, David K. Arrowsmith, John M. Griffiths, Jonathan M. Pitts

Proceedings Volume 3841, Performance and Control of Network Systems III; (1999) https://doi.org/10.1117/12.360381
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

In this article we present an overview of the progress made in the analysis of self-similar traffic models, aggregation of several self-similar traffic streams and in particularly the queue performance using chaotic maps. We found out that the asymptotic behavior of the queue is a function only of the tail of the ON active periods and that the Hurst parameter is not a good parameter to achieve traffic control due to the fact that two different self-similar traffic traces can have the same Hurst parameter but have a very different effect on the queue statistics. These results are part of a framework for developing chaotic control of networks.

Citation Download Citation

Raul J. Mondragon, David K. Arrowsmith, John M. Griffiths, and Jonathan M. Pitts "Chaotic maps for network control: traffic modeling and queueing performance analysis", Proc. SPIE 3841, Performance and Control of Network Systems III, (18 August 1999); https://doi.org/10.1117/12.360381

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