Nonlinear Prediction of Network Traffic Measurements Data

In this paper we apply the nonlinear time series prediction method to the traffic measurements data. Based on the phase space reconstruction, the support vector machine prediction method is used to predict the traffic measurements data, and the neighbor point selection method is used to choose the number of nearest neighbor points for the support vector machine regression model. The experiment results show that the nonlinear time series prediction method can effectively predict the traffic measurements data and the prediction error mainly concentrates on the vicinity of zero.