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文章基本信息

  • 标题:A Novel Method for Predicting Network Traffic Based on Maximum Entropy Principle
  • 本地全文:下载
  • 作者:Jingyu Wang ; Yang Zhao
  • 期刊名称:International Journal of Future Generation Communication and Networking
  • 印刷版ISSN:2233-7857
  • 出版年度:2016
  • 卷号:9
  • 期号:1
  • 页码:97-106
  • DOI:10.14257/ijfgcn.2016.9.1.09
  • 出版社:SERSC
  • 摘要:The network of application service is becoming more and more increasingly complex, with the development of network communication technology, which puts forward higher requirements on network behavior characteristics, the network management and traffic control, therefore, network traffic analysis and prediction is more and more important significance. This paper presents a novel network traffic prediction model, which is based on maximum entropy algorithm. The simulation results show that the algorithm proposed in this paper has higher prediction accuracy than the traditional methods, and improves the prediction accuracy of network traffic.
  • 关键词:Network traffic; Maximum entropy principle; Prediction
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