| Analysis of Network Traffic with Extreme Value Theory |
| |
| 作者姓名： | 舒炎泰 汪广洪 高德云 刘嘉焜 王旭 |
| |
| 作者单位： | School of Electronic Information Engineering，Tianjin University，School of Electronic Information Engineering，Tianjin University，School of Electronic Information Engineering，Tianjin University，School of Sciences，Tianjin University，School of Sciences，Tianjin University Tianjin 300072，China，Tianjin 300072，China，Tianjin 300072，China，Tianjin 300072，China，Tianjin 300072，China |
| |
| 基金项目： | NationalNaturalScienceFoundationofChina(No 90 1 0 4 0 1 5)，IBMSURgrantandCentralofLiuhuiAppliedMath |
| |
| 摘 要： | Withincreasingdemandofwidebandwidthservicesuchasmultimediaandvideo ,itisverydesirabletore searchondifferenttransporttechniquesforhigh speednetworks.Congestioncontrol,bandwidthassignment ,networkmanagementand performanceevaluationaresomeexamplesthathavebeenresearchedwidely .Asthefoundationoftheseresearchfields ,itisthemostessentialtobuildamodelthatcanaccuratelycharacterizerealnet worktraffic .Hence ,itisalsonecessarytounderstandandanalyzestatisticalpropertiesofthenetworktrafficbecauseitcanindic…
|
Analysis of Network Traffic with Extreme Value Theory |
| |
| SHU Yan tai,WANG Guang h ong,GAO De yunLIU Jia kun,WANG Xu.Analysis of Network Traffic with Extreme Value Theory[J].Transactions of Tianjin University,2003,9(2). |
| |
| Authors: | SHU Yan tai WANG Guang h ong GAO De yunLIU Jia kun WANG Xu |
| |
| Abstract: | It is very im portant to analyze network traffic in the network control and management. In thi s paper, extreme value theory is first introduced and a model with threshold met hods is proposed to analyze the characteristics of network traffic. In this mode l, only some traffic data that is greater than threshold value is considered. Th en the proposed model with the trace is simulated by using S Plus software. The modeling results show the network traffic model constructed from the extreme va lue theory fits well with that of empirical distribution. Finally, the extreme v alue model with the FARIMA(p,d,q) modeling is compared. The anal ytical results illustrate that extreme value theory has a good application foreg round in the statistic analysis of network traffic. In addition, since only some traffic data which is greater than the threshold is processed, the computation overhead is reduced greatly. |
| |
| Keywords: | extreme value theory generalized Pare to distribution threshold value FARIMA(p d q) model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
