Impact of aggregated, self-similar ON/OFF traffic on delay in stationary queueing models (1999)
| Venue: | Proceedings of SPIE, Performance and Control of Network Systems III |
| Citations: | 10 - 5 self |
BibTeX
@INPROCEEDINGS{Schwefel99impactof,
author = {Hans-peter Schwefel and Lester Lipsky},
title = {Impact of aggregated, self-similar ON/OFF traffic on delay in stationary queueing models},
booktitle = {Proceedings of SPIE, Performance and Control of Network Systems III},
year = {1999},
pages = {184--195}
}
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Abstract
The impact of the now widely acknowledged self-similar property of network traffic on cell delay in a single server queueing model is investigated. The analytic traffic model, called N-Burst, uses the superposition of N independent cell streams of ON/OFF type with Power-Tail distributed ON periods. Delay for such arrival processes is mainly caused by over-saturation periods, which occur when too many sources are in their ON-state. The duration of these over-saturation periods is shown to have a Power-Tail distribution, whose exponent fi is in most scenarios different from the tail exponent of the individual ON-period. Conditions on the model parameters, for which the mean and higher moments of the delay distribution become infinite, are investigated. Since these conditions depend on traffic parameters as well as on network parameters, careful network design can alleviate the performance impact of such self-similar traffic. Furthermore, in real networks, a Maximum Burst Size (MBS) leads...
