Prediction-based network bandwidth control

Author

Jin, Zhigang ; Shu, Yantai ; Liu, Jiakun ; Yang, Oliver W W

Author_Institution

Dept. of Comput. Sci., Tianjin Univ., China

Volume

2

fYear

2000

fDate

2000

Firstpage

675

Abstract

The fractional autoregressive integrated moving average, FARIMA (p,d,q) model, is capable of capturing both the long-range and short-range dependence in the video traffic. We propose a prediction-based bandwidth allocation scheme for integrated service packet networks using the FARIMA (p,d,q) model. Our simulation experiments show that this scheme can significantly reduce the requirement of buffer size and the frame loss rate

Keywords

autoregressive moving average processes; bandwidth allocation; buffer storage; packet switching; prediction theory; queueing theory; telecommunication congestion control; telecommunication networks; visual communication; FARIMA (p,d,q) model; bandwidth allocation; buffer size reduction; fractional autoregressive integrated moving average; frame loss rate reduction; integrated service packet networks; long-range dependence; prediction-based network bandwidth control; queue length; short-range dependence; simulation experiments; video traffic; Bandwidth; Channel allocation; Communication system traffic control; Computer science; Intserv networks; Mathematical model; Parameter estimation; Predictive models; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2000 Canadian Conference on

Conference_Location

Halifax, NS

ISSN

0840-7789

Print_ISBN

0-7803-5957-7

Type

conf

DOI

10.1109/CCECE.2000.849550

Filename

849550