Statistical Multiplexing of Self-Similar Traffic with Different QoS Requirements(Networks)

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概要

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• 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.

• 社団法人電子情報通信学会の論文
• 2004-09-01

著者

• Zhou Yuan-hua

  Institute Of Image Communication And Information Processing Shanghai Jiao Tong University

• Huang Xiao-dong

  Institute Of Image Communication And Information Processing Shanghai Jiao Tong University

関連論文

• Statistical Multiplexing of Self-Similar Traffic with Different QoS Requirements(Networks)
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