A whole correlation structure of asymptotically self-similar traffic in communication networks

Author

Li, Ming ; Jia, Weijia ; Zhao, Wei

Author_Institution

Dept. of Comput., City Univ. of Hong Kong, China

Volume

1

fYear

2000

fDate

2000

Firstpage

480

Abstract

Recent experimental research has revealed that the nature of WWW traffic is self-similarity (M.E. Crovella and A. Bestavros, 1997). That is, the behavior of WWW traffic is well modeled by second-order self-similar processes with long-range dependence. A closed form of autocorrelation functions about asymptotically self-similar processes is presented. The verification shows that this form is best for real traffic data on an Ethernet

Keywords

correlation methods; fractals; information resources; local area networks; telecommunication traffic; Ethernet; WWW traffic; asymptotically self-similar processes; asymptotically self-similar traffic; autocorrelation functions; closed form; communication networks; long-range dependence; real traffic data; second-order self-similar processes; self-similarity; whole correlation structure; Autocorrelation; Communication networks; Computer science; Ethernet networks; Intelligent networks; Stochastic processes; Telecommunication traffic; Traffic control; USA Councils; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Information Systems Engineering, 2000. Proceedings of the First International Conference on

Conference_Location

Hong Kong

Print_ISBN

0-7695-0577-5

Type

conf

DOI

10.1109/WISE.2000.882430

Filename

882430