Affiliations: [a] School of Computer Science, Beijing Institute of Technology, Beijing, China
| [b] Network Information Center, Yan’an University, Yan’an, Shaanxi, China
Correspondence:
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Corresponding author. Song Tian, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China. E-mail: oegg40224@126.com.
Abstract: With the continuous development of modern network, because of the increasing prominent and correlation of the huge network system, the original source independent network system has been difficult to meet the needs of the development of modern network. Therefore, we need to add the correlation between each ON/OFF source in the classical ON/OFF model based on the time series. On the basis of theoretical analysis and simulation experiment, the new C-ON/OFF model was formed after the improvement of ON/OFF model. Through quantitative analysis, the two parameters of and with the physical meaning in the model were discussed, and the relationship between the normalized self-covariance of the generated traffic. In order to verify the validity and practicability of the proposed model, the experiments of different parameters of the two groups were comparatively analyzed. The experimental results show that the model has good advantages in the physical meaning and complexity under longer correlation, and the C-ON/OFF network traffic model can be applied to the design of the network traffic monitoring system.
Keywords: Time series, C-ON/OFF model, construction, convergence
