分组语音多路复用器中位下降的流量平滑效应

K. Sriram, D. Lucantoni
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引用次数: 130

摘要

作者研究了分组语音多路复用器队列的性能,其中语音数据包上的不太重要的位在多路复用器的拥塞状态期间被丢弃。通过仿真和分析建模的结果表明,在队列拥塞的关键时期,语音分组的比特下降通过加快分组的服务速率,显著地平滑了叠加分组语音流量。这种现象使得用泊松过程近似叠加过程成为可能,用于分析具有丢位的分组语音多路复用器。多路复用器使用M/D/1/K模型建模,其中D表示服务的确定性但依赖于状态的性质。通过与仿真的比较,表明该模型可以产生相当准确的性能预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic smoothing effects of bit dropping in a packet voice multiplexer
The authors examine the performance of a packet voice multiplexer queue in which the less significant bits on voice packets are dropped during states of congestion in the multiplexer. Using the results of simulation and analytical modeling, it is illustrated that bit dropping on voice packets significantly smoothes the superposition packet voice traffic by speeding up the packet service rate during critical periods of congestion in the queue. This phenomenon renders it possible to approximate the superposition process by a Poisson process for analyzing a packet voice multiplexer with bit dropping. The multiplexer is modeled using an M/D/1/K model in which D denotes the deterministic but state-dependent nature of service. By comparison with a simulation, this model is shown to produce quite accurate performance predictions.<>
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