DocumentCode
2608590
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
fYear
2009
fDate
18-20 Oct. 2009
Firstpage
292
Lastpage
295
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICBNMT.2009.5348485
Filename
5348485
Link To Document