Title :
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
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;
Conference_Titel :
Web Information Systems Engineering, 2000. Proceedings of the First International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-0577-5
DOI :
10.1109/WISE.2000.882430
