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基于混合模型的网络流量预测研究
引用本文:王西锋,张晓孪.基于混合模型的网络流量预测研究[J].西华大学学报(自然科学版),2009,28(2).
作者姓名:王西锋  张晓孪
作者单位:宝鸡文理学院计算机科学系,陕西,宝鸡,721007
基金项目:陕西省自然科学基金,宝鸡文理学院重点科研项目 
摘    要:随着网络应用的多样化发展,分析网络流量的行为特性并建立模型进行预测,对于网络管理与流量工程有着重要意义.通过对多种流量预测方法的分析和比较,指出单一预测模型的局限性,并结合近年流量的新特性提出:网络流量的建模预测必须建立在流量重要特性的基础上,采用混合模型可以更全面、准确地描述和预测流量的行为趋势.

关 键 词:网络流量  自相似  预测  混合模型

Research of Network Traffic Prediction Based on Hybrid Models
WANG Xi-feng,ZHANG Xiao-luan.Research of Network Traffic Prediction Based on Hybrid Models[J].Journal of Xihua University:Natural Science Edition,2009,28(2).
Authors:WANG Xi-feng  ZHANG Xiao-luan
Affiliation:Department of Computer Science;Baoji University of Arts & Sciences;Baoji 721007 China
Abstract:With the diversification development of network applications,it is of great significance to analyze the network behavior characteristics and establishment mathematical models for network management and traffic engineering.The limitations of single prediction methods are pointed out based on the analysis and comparison of various forecasting methods in this paper.Combining the characteristics of the actual traffic,the concludes are drawn that network traffic models must be based on traffic characteristics an...
Keywords:network traffic  self-similar  prediction  hybrid models  
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