| Issue |
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
|
|
|---|---|---|
| Article Number | 09024 | |
| Number of page(s) | 5 | |
| Section | Session 9: Computer Science and its Applications | |
| DOI | https://doi.org/10.1051/itmconf/20160709024 | |
| Published online | 21 November 2016 | |
A Bayes Theory-Based Modeling Algorithm to End-to-end Network Traffic
1 State Grid Liaoning Electric Power Company Limited, Shenyang 110006, China
2 Shenyang China Resources Thermal Power Company Limited, Shenyang 110043, China
3 State Grid Huludao Electric Power Supply Company, Huludao 125000, China
4 State Grid Shenyang Electric Power Supply Company, Shenyang 110003, China
a Corresponding author: amengfb@163.com
Recently, network traffic has exponentially increasing due to all kind of applications, such as mobile Internet, smart cities, smart transportations, Internet of things, and so on. the end-to-end network traffic becomes more important for traffic engineering. Usually end-to-end traffic estimation is highly difficult. This paper proposes a Bayes theory-based method to model the end-to-end network traffic. Firstly, the end-to-end network traffic is described as a independent identically distributed normal process. Then the Bases theory is used to characterize the end-to-end network traffic. By calculating the parameters, the model is determined correctly. Simulation results show that our approach is feasible and effective.
© Owned by the authors, published by EDP Sciences, 2016
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