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
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;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
