Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Methodology
  3.1. Network Traffic Prediction Principle
  3.2 Maximum Entropy Principle
 4. Experimental Results and Analyses
  4.1. Network Traffic Data Collect
  4.2 Network Traffic Prediction Based on MEP
  4.3 Prediction Results and Analysis
 5. Conclusion
 References

키워드

저자

• Jingyu Wang [ Science College, Inner Mongolia University of Technology, Hohhot 010051, Inner Mongolia, China ]
• Yang Zhao [ Department of Electronic and Information Technology, Jiangmen Polytechnic, Jiangmen 529090, China Jiangmen Polytechnic ] corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605