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Internet 流量模型分析与评述
引用本文:张宾,杨家海,吴建平.Internet 流量模型分析与评述[J].软件学报,2011,22(1):115-131.
作者姓名:张宾  杨家海  吴建平
作者单位:清华大学,信息网络工程研究中心,北京,100084;清华大学,清华信息科学与技术国家实验室,北京,100084
基金项目:国家重点基础研究发展计划(973)(2009CB320505); 国家科技支撑计划(2008BAH37B05); 国家高技术研究发展计划(863)(2008AA01A303, 2009AA01Z251)
摘    要:Internet流量模型对网络性能管理、QoS、准入控制等都有很重要的意义和作用.首先总结了现阶段已发现的主要网络流量的特性及相关度量参数,概要地介绍网络流量建模的意义和分类,然后按照"传统-自相似-流量建模的新发展"这3个阶段阐述网络流量建模的发展历程与最新的研究成果,最后针对目前网络流量建模中存在的难点问题,展望了该领域未来的研究发展方向.

关 键 词:Internet流量特征  网络流量模型  自相似  长相关  分形
收稿时间:2010/6/10 0:00:00
修稿时间:2010/10/26 0:00:00

Survey and Analysis on the Internet Traffic Model
ZHANG Bin,YANG Jia-Hai and WU Jian-Ping.Survey and Analysis on the Internet Traffic Model[J].Journal of Software,2011,22(1):115-131.
Authors:ZHANG Bin  YANG Jia-Hai and WU Jian-Ping
Affiliation:ZHANG Bin1,2,YANG Jia-Hai1,2 ,WU Jian-Ping1,21(The Network Research Center,Tsinghua University,Beijing 100084,China)2(Tsinghua National Laboratory for Information Science and Technology,China)
Abstract:The Internet traffic model is the key issue for network performance management, Quality of Service management, and admission control. The paper first summarizes the primary characteristics of Internet traffic, as well as the metrics of Internet traffic. It also illustrates the significance and classification of traffic modeling. Next, the paper chronologically categorizes the research activities of traffic modeling into three phases: 1) traditional Poisson modeling; 2) self-similar modeling; and 3) new research debates and new progress. Thorough reviews of the major research achievements of each phase are conducted. Finally, the paper identifies some open research issue and points out possible future research directions in traffic modeling area.
Keywords:Internet traffic feature  network traffic modeling  self-similar  long-range dependence  fractal
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