DocumentCode
2097971
Title
Resource management in Virtual Private Network based on predictor model with error compensation
Author
Zhou Chunyue ; Dong Hairong ; Zhang Hongke
Author_Institution
Key Lab. of Commun. & Inf. Syst., Beijing Jiaotong Univ., Beijing, China
fYear
2010
fDate
29-31 July 2010
Firstpage
4197
Lastpage
4200
Abstract
The importance of traffic prediction in Virtual Private Network (VPN) should not be disregarded. Concerning the ARMA model and the FARIMA model, a traffic prediction model with error compensation is proposed based on its own traffic characters. It proves the correction of model and provides high accuracy by the simulation results.
Keywords
autoregressive moving average processes; error analysis; prediction theory; resource allocation; telecommunication traffic; virtual private networks; ARMA model; FARIMA model; autoregressive moving average model; error compensation; resource management; traffic prediction model; virtual private network; Error compensation; Hoses; Laboratories; Predictive models; Quality of service; Resource management; Virtual private networks; ARMA Model; FARIMA Model; Traffic; Traffic Predictor; VPN;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573074
Link To Document