Resource Management in Virtual Private Network Based on Predictor Model with Error Compensation

被引：0

作者：

Zhou Chunyue ^{[1
]}

Dong Hairong ^{[2
]}

Zhang Hongke ^{[3
]}

机构：

[1] Beijing Jiaotong Univ, Key Lab Commun & Informat Syst, Beijing 100044, Peoples R China

[2] Beijing JiaoTong Univ, Inst Elect & Informat Engn, Beijing 100044, Peoples R China

[3] Beijing Jiaotong Univ, Next Generat Internet Res Ctr NGIRC, Beijing 100044, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

Traffic Predictor; Traffic; ARMAModel; FARIMAModel; VPN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：4197 / 4200

页数：4