Share Email Print
cover

Proceedings Paper

Chaotic maps for network control: traffic modeling and queueing performance analysis
Author(s): Raul J. Mondragon; David K. Arrowsmith; John M. Griffiths; Jonathan M. Pitts
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 18 August 1999
PDF: 12 pages
Proc. SPIE 3841, Performance and Control of Network Systems III, (18 August 1999); doi: 10.1117/12.360381
Show Author Affiliations
Raul J. Mondragon, Queen Mary and Westfield College (United Kingdom)
David K. Arrowsmith, Queen Mary and Westfield College (United Kingdom)
John M. Griffiths, Queen Mary and Westfield College (United Kingdom)
Jonathan M. Pitts, Queen Mary and Westfield College (United Kingdom)


Published in SPIE Proceedings Vol. 3841:
Performance and Control of Network Systems III
Robert D. van der Mei; Daniel P. Heyman, Editor(s)

© SPIE. Terms of Use
Back to Top