DocumentCode :
1983554
Title :
The Identification and Performance Analysis of the Fractal Characteristics of Network Traffic
Author :
Ma, XiaoYan
Author_Institution :
Coll. of Sci. Inf. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Network traffic has single-fractal characteristic, or self-similar characteristic, at the global time scale; and multi-fractal characteristic at local time scale. The linear or nonlinear relationship between the scaling function and the time scale can be used to determine the single-fractal or multi-fractal characteristic of the network traffic. Increasing the buffer size will reduce the packet loss rate and network delay with single-fractal and multi-fractal traffic as input, but the network delay and delay jitter will significantly increase. This phenomena of multi-fractal traffic is serous than that of the single-fractal. The reason is that the multi-fractal can characterize not only the long-range dependence properties of network traffic, but also the sudden change at the small-scale.
Keywords :
fractals; packet radio networks; telecommunication traffic; buffer size; delay jitter; global time scale; local time scale; long-range dependence properties; multifractal characteristic; multifractal traffic; network delay; network traffic; nonlinear relationship; packet loss rate; performance analysis; scaling function; self-similar characteristic; single-fractal characteristic; single-fractal traffic; Business; Data models; Delay; Fractals; Jitter; Random processes; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
Type :
conf
DOI :
10.1109/ITAPP.2010.5566575
Filename :
5566575
Link To Document :
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