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面向大规模网络的聚集TCP流量模拟方法研究
引用本文:陈宇峰,董亚波,鲁东明,潘云鹤.面向大规模网络的聚集TCP流量模拟方法研究[J].通信学报,2006,27(2):100-106.
作者姓名:陈宇峰  董亚波  鲁东明  潘云鹤
作者单位:1. 浙江大学计算机科学与技术学院,浙江,杭州,310027;湖北汽车工业学院,湖北,十堰,442002
2. 浙江大学计算机科学与技术学院,浙江,杭州,310027
基金项目:中国科学院资助项目;浙江省自然科学基金;浙江省科技计划;湖北省教育厅科研项目
摘    要:为平衡大规模网络骨干网上TCP流量模拟的准确性和复杂度,提出模拟接入网出口处的TCP聚集流量,而不从单台主机或会话的层面进行流量模拟。从网络流量的自相似性出发,提出基于应用层和网络传输层自相似的TCP聚集流量模型:在应用层通过聚集多个服从Pareto分布的ON/OFF源模拟生成自相似流量,在网络传输层根据TCP机制实现对应用层流量的聚集传输控制。模拟结果显示,在流量负载比例、流量自相似性以及骨干节点丢包率等方面,模拟结果与采集自某互联网交换中心的实际数据吻合良好,表明了该模型的有效性。

关 键 词:流量模拟  TCP聚集流量  自相似性  应用层自相似  网络传输层自相似
文章编号:1000-436X(2006)02-0100-07
收稿时间:2005-11-15
修稿时间:2005-12-20

Simulating method for TCP aggregated traffic of large scale network
CHEN Yu-feng,DONG Ya-bo,LU Dong-ming,PAN Yun-he.Simulating method for TCP aggregated traffic of large scale network[J].Journal on Communications,2006,27(2):100-106.
Authors:CHEN Yu-feng  DONG Ya-bo  LU Dong-ming  PAN Yun-he
Affiliation:1. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; 2. Hubei Automotive Industrial Institute, Shiyan 442002, China
Abstract:To obtain a trade-off between veracity and complexity when simulating TCP traffic of large-scale network,the TCP aggregated traffic of access network in the gateway was proposed as simulated object,instead of the traffic generated at the individual host or session level.Based on the self-similarity of application-level and network-level,the TCP aggregated traffic model was proposed due to the self-similarity of network traffic.The self-similar traffic at application level was generated by aggregating many ON/OFF sources following Pareto distribution.The aggregated transmission control was put on the traffic at network transmission level based on the mechanism of TCP protocol.Compared with the real data collected from a Network Exchange Center,the simulating result shows the validity of the model from the criteria of traffic load proportion,traffic self-similarity,and the packet loss ratio.
Keywords:traffic simulating  TCP aggregated traffic  self-similarity  application-level self-similarity  network-level self-similarity  
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