Title :
UGM based internet traffic prediction
Author :
Yidong, Cui ; Dong, Zhang ; Hanlin, Sun
Author_Institution :
Sch. of Info. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Internet traffic exhibits complex temporal multi-scale properties. The properties greatly affect the predicting method based upon grey theory. The general GM(1, 1) model will lose effectiveness if the modeling length approaches to the traffic variation period. We proposed a new method based upon undulating grey model (UGM) to predict the internet traffic. Simulated with traffic data from Abilene network, the new method is verified to perform better than the general GM(1, 1) model.
Keywords :
Internet; grey systems; telecommunication traffic; Abilene network; UGM; grey theory; internet traffic prediction; multiscale property; predicting method; traffic variation period; undulating grey model; Equations; History; IP networks; Internet; Neural networks; Predictive models; Sun; Telecommunication switching; Telecommunication traffic; Traffic control; Internet traffic; Undulating Grey Model; traffic prediction;
Conference_Titel :
Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4590-5
Electronic_ISBN :
978-1-4244-4591-2
DOI :
10.1109/ICBNMT.2009.5348485
