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网络中的流量模型
引用本文:张爱萍,赵明旺.网络中的流量模型[J].武汉科技大学学报(自然科学版),2004,27(2):179-183.
作者姓名:张爱萍  赵明旺
作者单位:武汉科技大学信息科学与工程学院,湖北,武汉,430081
摘    要:流量模型是流量预测和网络性能评价的基础。好的流量模型必须能够准确描述网络实际流量的特征情况,这样才能准确预测流量状况。然而近年来研究发现网络流量具有自相似性,传统的基于泊松分布的流量模型已不能很好地表述这一特征。根据流量的不同相关特性,介绍了当前网络应用的典型模型,对它们的特点进行了分析论述。

关 键 词:流量模型  自相似  相关性
文章编号:1672-3090(2004)02-0179-05
修稿时间:2004年2月24日

Traffic Models in Network
ZHANG Ai-ping,ZHAO Ming-wang.Traffic Models in Network[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2004,27(2):179-183.
Authors:ZHANG Ai-ping  ZHAO Ming-wang
Abstract:Traffic models are crucial to traffic predication and performance evaluation of networks. A good traffic model must be able to describe network traffic characteristics and predict the practical traffic condition accurately. Recently much research shows that many kinds of network traffics are self-similar,which can't be described accurately by traditional traffic models based on Poisson distribution. This paper,according to different correlation characteristics of traffic, introduces typical network traffic models and analyze their respective characteristics.
Keywords:traffic model  self-similar  correlation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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