ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||5|
|Section||Session 9: Computer Science and its Applications|
|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: email@example.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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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