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Token Bucket Characterization of Long-Range Dependent Traffic (2002)
| Citations: | 7 - 0 self |
BibTeX
@MISC{Procissi02tokenbucket,
author = {Gregorio Procissi and Anurag Garg and Mario Gerla and M.Y. Sanadidi},
title = {Token Bucket Characterization of Long-Range Dependent Traffic},
year = {2002}
}
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Abstract
The token bucket characterization provides a deterministic yet concise representation of a traffic source. In this paper, we study the impact of the long-range dependence (LRD) property of traffic generated by today's multimedia applications on the optimal dimensioning of token bucket parameters. To this aim, we empirically illustrate the difference between the token bucket characteristics of traffic exhibiting different degrees of time dependence but with identical macroscopic properties (i.e. inter-arrival time and packet size distributions). In addition, we use a statistical model to analytically determine optimal token bucket parameters under various optimization criteria. The statistical model is based on fractional Brownian motion and takes LRD into account. We apply this model to several aggregated MPEG video sources. We then assess the validity of these analytic results by comparing them to empirical results. We conclude that the analytic approach presented here is effective in optimally sizing token buckets for LRD traffic, and promises to be applicable under different traffic conditions and for various optimization criteria. 2002 Elsevier Science B.V. All fights reserved.
Keyphrases
token bucket characterization long-range dependent traffic various optimization criterion statistical model concise representation several aggregated mpeg video source token bucket different degree inter-arrival time time dependence different traffic condition analytic approach optimal token bucket parameter elsevier science b.v. fight fractional brownian motion analytic result token bucket parameter lrd traffic optimal dimensioning traffic source token bucket characteristic packet size distribution identical macroscopic property empirical result long-range dependence multimedia application
