Network Traffic Forecast Based on Short Related ARIMA Model
Yan Linb · Jisuanji gongcheng · 2012
There are features of relativity and sudden in the same moment of different date.In order to forecast the network traffic,this paper puts forward a related short ARIMA model.After the model sets up,the parameters is educed by using improved method.The parameters of the model can update automatically according to the changeable data.Experimental results shows that the related short ARIMA model can better describe relativity and self similarity,and makes higher forecast precision compared with AR and ARIMA model.