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基于模拟的网络流量自相似现象分析 被引量:10

Simulation-based Research on Self-similar Phenomena
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摘要 一、引言 自从1993年文[2]发表以来,网络流量的自相似特征日益受到重视,使传统的基于泊松和马尔可夫行为的流量模型受到了质疑[4].但是关于自相似现象的成因以及这一现象对网络流量建模的影响一直没有确定性的答案.文[3]中提出了高可变性(High Variability)是网络流量自相似现象的可能原因.但在文[1]中,作者基于Network Simulation-Version 2(以下简称ns2)网络模拟器,模拟产生了单个TCP对话流量的自相似现象,从而提出高可变性未必是出现自相似现象的必要前提,而TCP流量控制机制本身就是一个能产生自相似现象的确定性过程.然而在文[1]中,作者只模拟出了链路上单个TCP对话流量的自相似现象,但是在现实网络观测到自相似现象都是对于链路上总的流量来说的,而不是针对单个对话流量来说的. The notion of self-similarity has been the focus of recent research on traffic engineering.-This paper addresses the cause of the self-similar network traffic. Based on a simulation with 'Network Simulation-Version 2' , we demonstrate that large number of ON/OFF sources with heavy tailed distributed random ON and/or OFF periods are not necessary to explain self-similarity, while TCP flow-control mechanism can be a deterministic factor of self-similarity.
出处 《计算机科学》 CSCD 北大核心 2001年第11期57-61,共5页 Computer Science
基金 国家自然科学基金项目69703001
关键词 网络流量 自相似 计算机网络 局域网 广域网 Self-similarity,Heavy-tail, TCP congestion control, High variability
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参考文献12

  • 1[1]Veres A,Boda M. The Chaotic Nature of TCP Congestion Control. IEEE Infocom'2000, Tel Aviv, Israel, Mar.2000
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