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 …

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 …

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 …

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 …

Network traffic forecasts, as it is well known, can be useful for network resource optimization.
In order to minimize the forecast error by maximizing information utilization with low …

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 …

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 …

In this chapter, ARIMA (autoregressive integrated moving average) model and direct and
iterative forecast methods based on ANN (artificial neural network) are adopted to fit and …