Prediction-based admission control using FARIMA models

Author

Shu, Yantai ; Jin, Zhigang ; Wang, Jidong ; Yang, Oliver W W

Author_Institution

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

Volume

3

fYear

2000

fDate

2000

Firstpage

1325

Abstract

The FARIMA (p,d,q) model is a good traffic model capable of capturing both the long-range and short-range behavior of a network traffic stream in time. In this paper, we propose a prediction-based admission control algorithm for an integrated service packet network. We suggest a method to simplify the FARIMA model fitting procedure and hence to reduce the time of traffic modeling and prediction. Our feasibility-study experiments showed that FARIMA models which have number of parameters could be used to model and predict actual traffic on quite a large time scale

Keywords

packet switching; telecommunication congestion control; telecommunication traffic; FARIMA (p,d,q) model; FARIMA models; integrated service packet network; long-range behavior; network traffic stream; prediction-based admission control; short-range behavior; traffic model; Admission control; Communication system traffic control; Computer science; Information technology; Intserv networks; Mathematical model; Parameter estimation; Prediction algorithms; Predictive models; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2000. ICC 2000. 2000 IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-6283-7

Type

conf

DOI

10.1109/ICC.2000.853713

Filename

853713