With the continuous development of computer networks in recent years, the scale and types
of services carried by the network are increasing. Accurate traffic prediction results provide …

Network traffic prediction is a very complex and difficult issue in the network management
and design. This paper shows a model with a new algorithm (MLSL), and the model …

This paper describes a method to derive an appropriate prediction model for network traffic
and verify its trustfulness. The proposal is not only an analysis of network packets but also …

To improve the network traffic prediction result, the paper put forward a nonlinear
combination prediction model of network traffic flow. First, the single models of ARIMA …

To solve the defect of traditional network traffic prediction forecasting, and obtain good
forecasting results of network traffic, a network traffic forecasting model based on Gaussian …

In order to improve the performance of network traffic prediction model, a novel network
traffic prediction model is proposed in this paper which embedding dimension and time …

TDCNTP is a time series forecasting model, which is an improved network traffic prediction
model using two-dimensional correlation and the Single exponential smoothing, the …

Network traffic describes the characteristics and users' behaviors of communication
networks. It is a crucial input parameter of network management and network traffic …

To deal with the characteristic of network traffic, a prediction algorithm based on wavelet
transform and Season ARIMA model is introduced in this paper. The complex correlation …

For the complicated characteristic of network traffic, a prediction algorithm based on traffic
decomposition is introduced in this paper. The complex correlation structure of the network …