원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
Vol.9 No.1
2016.01
pp.97-106
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보