Traffic Sampling Measurement Method Based on FARIMA Model
Changxing Pei · Jisuanji gongcheng · 2010
Current traffic sampling methods are based on mathematic theory without considering about real network traffic.So according to traffic prediction to dynamically adjust sampling rate,this paper proposes a new sampling method based on Fractal Auto Regression Integrated Moving Average(FARIMA) traffic prediction.The method not only reduces CPU load,but storage space as well.Compared with sample mean and Hurst parameter of traffic data produced from currently used sampling method,the experiment results can generate more accurate traffic statistics of sampling traffic.