Title :
Wavelet Technology and the Analysis on Fractal Properties of the Campus Network Traffic
Author :
Dan, Sui ; Hua, Wu
Author_Institution :
Network Center, Anyang Normal Univ., Anyang, China
Abstract :
The fractal properties of the traffic under different scales have quite an impact on network performance. So it is important for Internet network engineering to study the traffic model which can accurately describe the singularity of the traffic under small time/space scales and the long range dependence under large time/space scales. This essay, combined with the development of the traffic study, analyzes the data of a campus network traffic based on wavelet technology, and proves the self-similarity and multi-fractal characteristics of the arriving traffic.
Keywords :
Internet; fractals; telecommunication traffic; wavelet transforms; Internet network engineering; campus network traffic; fractal properties; large time-space scales; self-similarity characteristics; traffic model; wavelet technology; Band pass filters; Communication system traffic control; Data analysis; Fractals; Gaussian distribution; IP networks; Space technology; Telecommunication traffic; Traffic control; Wavelet analysis;
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
DOI :
10.1109/MMIT.2010.49
