DocumentCode :
2839594
Title :
On the Chaotic Dynamics Analysis of Internet Traffic
Author :
Li, Xue-bin
Author_Institution :
Dept. of Comput. Sci., Changzhi Coll., Changzhi, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper analysis the chaotic dynamical properties of network traffic based on the self-similarity characteristic of the Internet traffic. The phase space of the traffic time serials is reconstructed and the correlation dimension is analyzed, which indicate that the dynamical system has finite degree of freedom and a positive maximum Lyapunov exponent. The chaotic characteristic of the traffic is demonstrated and the nonlinear evolution mechanism is observed. Finally, the traffic signals are reconstructed by using fractal interpolation algorithm and gaining reasonably accurate replications.
Keywords :
Internet; interpolation; telecommunication traffic; Internet traffic; chaotic dynamics analysis; fractal interpolation algorithm; maximum Lyapunov exponent; network traffic; Chaos; Fractals; IP networks; Internet; Interpolation; Network topology; Performance analysis; Predictive models; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5364674
Filename :
5364674
Link To Document :
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