Statistical Multiplexing of Self-Similar Traffic with Different QoS Requirements
Summary :
We study the statistical multiplexing performance of self-similar traffic. We consider that input streams have different QoS (Quality of Service) requirements such as loss and delay jitter. By applying the FBM (fractal Brownian motion) model, we present methods of estimating the effective bandwidth of aggregated traffic. We performed simulations to evaluate the QoS performances and the bandwidths required to satisfy them. The comparison between the estimation and the simulation confirms that the estimation could give rough data of the effective bandwidth. Finally, we analyze the bandwidth gain with priority multiplexing against non-prioritized multiplexing and suggest how to get better performance with the right configuration of QoS parameters.
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- IEICE TRANSACTIONS on Information Vol.E87-D No.9 pp.2171-2178
- Publication Date
- 2004/09/01
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- PAPER
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- Network
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Xiao-dong HUANG, Yuan-hua ZHOU, "Statistical Multiplexing of Self-Similar Traffic with Different QoS Requirements" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 9, pp. 2171-2178, September 2004, doi: .
Abstract: We study the statistical multiplexing performance of self-similar traffic. We consider that input streams have different QoS (Quality of Service) requirements such as loss and delay jitter. By applying the FBM (fractal Brownian motion) model, we present methods of estimating the effective bandwidth of aggregated traffic. We performed simulations to evaluate the QoS performances and the bandwidths required to satisfy them. The comparison between the estimation and the simulation confirms that the estimation could give rough data of the effective bandwidth. Finally, we analyze the bandwidth gain with priority multiplexing against non-prioritized multiplexing and suggest how to get better performance with the right configuration of QoS parameters.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_9_2171/_p
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@ARTICLE{e87-d_9_2171,
author={Xiao-dong HUANG, Yuan-hua ZHOU, },
journal={IEICE TRANSACTIONS on Information},
title={Statistical Multiplexing of Self-Similar Traffic with Different QoS Requirements},
year={2004},
volume={E87-D},
number={9},
pages={2171-2178},
abstract={We study the statistical multiplexing performance of self-similar traffic. We consider that input streams have different QoS (Quality of Service) requirements such as loss and delay jitter. By applying the FBM (fractal Brownian motion) model, we present methods of estimating the effective bandwidth of aggregated traffic. We performed simulations to evaluate the QoS performances and the bandwidths required to satisfy them. The comparison between the estimation and the simulation confirms that the estimation could give rough data of the effective bandwidth. Finally, we analyze the bandwidth gain with priority multiplexing against non-prioritized multiplexing and suggest how to get better performance with the right configuration of QoS parameters.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Statistical Multiplexing of Self-Similar Traffic with Different QoS Requirements
T2 - IEICE TRANSACTIONS on Information
SP - 2171
EP - 2178
AU - Xiao-dong HUANG
AU - Yuan-hua ZHOU
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2004
AB - We study the statistical multiplexing performance of self-similar traffic. We consider that input streams have different QoS (Quality of Service) requirements such as loss and delay jitter. By applying the FBM (fractal Brownian motion) model, we present methods of estimating the effective bandwidth of aggregated traffic. We performed simulations to evaluate the QoS performances and the bandwidths required to satisfy them. The comparison between the estimation and the simulation confirms that the estimation could give rough data of the effective bandwidth. Finally, we analyze the bandwidth gain with priority multiplexing against non-prioritized multiplexing and suggest how to get better performance with the right configuration of QoS parameters.
ER -
English
