論業(yè)務(wù)量相關(guān)性對(duì)排隊(duì)性能的影響
Research on the impact of traffic dependence on queueing performance
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摘要: 探討業(yè)務(wù)量的相關(guān)性對(duì)排隊(duì)系統(tǒng)性能究竟會(huì)帶來(lái)什么樣的影響,對(duì)于高速網(wǎng)絡(luò)中流量控制機(jī)制和資源分配算法具有非常重要的意義。該文采用了一種獨(dú)特的方法,來(lái)分析業(yè)務(wù)量的相關(guān)性在一定的網(wǎng)絡(luò)環(huán)境下對(duì)于排隊(duì)系統(tǒng)性能的影響。仿真的結(jié)果顯示:一定時(shí)間尺度范圍內(nèi)的長(zhǎng)期相關(guān)性導(dǎo)致排隊(duì)性能的惡化,而且這種影響對(duì)于增加緩沖區(qū)的大小并不十分敏感。而且,業(yè)務(wù)量序列的邊際分布和Hurst參數(shù)仍不足以充分決定排隊(duì)性能的好壞。Abstract: The impact of traffic dependence on queueing performance is of great significance to traffic control mechanism and resource allocation algorithm in high-speed networks. This article adopts a unique method to analyze the influence that the traffic dependence brings to the queueing performance under given network conditions. The results of simulation show that long-range dependence during a certain time scale will deteriorate the queueing performance, and that such an effect is insensitive to increasing the buffer size. Also the marginal distribution and Hurst exponent of traffic series are inadequate to determine the queueing performance.
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蔡弘,陳惠民,李衍達(dá),自相似業(yè)務(wù)模型-通信網(wǎng)絡(luò)突發(fā)業(yè)務(wù)建模的新方法,通信學(xué)報(bào),1997,18(11),51-59[2]W. Willinger.[J].M. S. Taqqu, R. Sherman, D. V. Wilson, Self-similarity through high-variability:statistical analysis of ethernet LAN traffc at the source level, Proc. of the ACM/Sigcomm95,U.S.A.1995,:-[3]S. Molnar, A. Vidacs, On modeling and shaping self-similar ATM traffc, Proc. of ITC15, Washington, D.C., 1997, 1409-1420.[4]M.M. Krunz, A. M. Makowski, Modeling video traffic using M/G/ input processes: A compromise between Markovian and LRD models, IEEE J. on Selected Areas in Communications,1998, 16(5), 733-748. -
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