Experimental analysis of auto-correlation's effects on traffic prediction of IP network data
Quan Ji-chuan, Pla Uni · Journal of PLA University of Science and Technology · 2005
In order to measure the effects of auto-correlation on traffic prediction of IP network data,traffic aggregation and shuffle experiments were designed and conducted with the real traffic traces of LAN and WAN.The following results were obtained from the experimental data.The average relative prediction error descended with the increases of the aggregation level.The stronger the autocorrelation,the smaller the prediction error.The above effects were mainly from the short-range dependence.The results show that auto-correlation has important effects on data traffic prediction.The stronger the auto-correlation,the better the prediction performance.Furthermore,the effects from short-range dependence are dominant and the effects from long-range dependence are very little.