Network Traffic Prediction Based on Grey Model and Adaptive Filter
Liyan Zhang · Jisuanji gongcheng · 2009
A new network traffic prediction method is put forward. This method uses Grey Model(GM) called GM(1,1) to conduct prediction according to the historical data of network traffic, and also uses adaptive filtering method to modify the residual error producted by GM(1,1), which achieves a higher accuracy. Moreover, this method integrates some characters of GM(1,1), such as less data needed and easy for operation. It has higher value for application. Experimental results show this method is effective and feasible.