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Impaction of Aggregated Network Traffic on Queueing Performance
作者姓名:RAO  Yunhua  WEI  Cui  QIN  Ming  SUN  Lijun  ZHAO  Cuncheng  WANG  Zhiguo
作者单位:[1]School of Electronic Information, Wuhan University,Wuhan 430072, Hubei, China [2]Yichang Testing Technique Research Institute, Yichang 443003, Hubei, China
基金项目:Supported by the National High Technology Research and Development Program of China(2004AA639690), the Ph. D.Programs Foundation of Ministry of Education of China(20040486049) and the Wuhan Chenguang Project (20055003059-27)
摘    要:The impaction of aggregated network traffic on queueing system is studied in this paper. It shows that the network traffic stayed in buffer has different impaction on queueing performance when it is aggregated at different scales. And its influence is related not only to traffic parameters but also to system parameter, such as buffer size. The increased buffer size can absorb the effect of short-range dependence (SRD) in network traffic and only the effect of long-range dependence (LRD) is expressed. The queueing length is asymptotic Weibull distribution with increasing buffer size, which is irrespective with the effect of short-range dependence character. Monte-Carlo based simulation confirmed the validity of these results.

关 键 词:网络  聚集流量  排队性能  缓冲区
文章编号:1007-1202(2007)02-0275-04
收稿时间:2006-03-02

Impaction of aggregated network traffic on queueing performance
RAO Yunhua WEI Cui QIN Ming SUN Lijun ZHAO Cuncheng WANG Zhiguo.Impaction of Aggregated Network Traffic on Queueing Performance[J].Wuhan University Journal of Natural Sciences,2007,12(2):275-278.
Authors:Rao Yunhua  Wei Cui  Qin Ming  Sun Lijun  Zhao Cuncheng  Wang Zhiguo
Institution:(1) School of Electronic Information, Wuhan University, Wuhan, 430072, Hubei, China;(2) Yichang Testing Technique Research Institute, Yichang, 443003, Hubei, China
Abstract:The impaction of aggregated network traffic on queueing system is studied in this paper. It shows that the network traffic stayed in buffer has different impaction on queueing performance when it is aggregated at different scales. And its influence is related not only to traffic parameters but also to system parameter, such as buffer size. The increased buffer size can absorb the effect of short-range dependence (SRD) in network traffic and only the effect of long-range dependence (LRD) is expressed. The queueing length is asymptotic Weibull distribution with increasing buffer size, which is irrespective with the effect of short-range dependence character. Monte-Carlo based simulation confirmed the validity of these results.
Keywords:traffic  queueing system  loss rate  buffer
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