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Characterization of Univariate Long-Term Urban Internet Traffic Volume


Affiliations
1 Department of Computer Applications, Dr. B.C. Roy Engineering College, India
2 Department of Electronics and Communication Engineering, Dr. B. C. Roy Engineering College, India
3 Department of Applied Electronics and Instrumentation Engineering, Dr. B. C. Roy Engineering College, India
4 Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India
5 Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, India
     

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The proposed work deals with a real time hourly internet traffic data set in bits collected from ISPs located in 11 cities of European Country for the period 7th June 2005 to 31st July 2005. Then a thorough statistical inference has been drawn regarding the central tendency, dispersion and distribution of the data. Time-frequency analysis using Smoothed Pseudo Wigner Ville Distribution (SPWVD) is implied to infer knowledge about the non-stationarity of the system. A nonparametric test for normality, Anderson Darling Test (AD-Test) has been performed to detect the binary signature of nonlinearity in the signal. Delay Vector Variance Analysis (DVV) are being exploited to infer deeper knowledge about the determinism and nonlinearity in the system. The results confirm a nonstationary, relatively stochastic and nonlinear profile of the signal under observation.

Keywords

Time-Frequency Analysis, Smoothed Pseudo Wigner Ville Distribution SPWVD, Anderson Darling Test (AD-Test), Delay Vector Variance Analysis (DVV), Nonlinearity.
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Abstract Views: 296

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  • Characterization of Univariate Long-Term Urban Internet Traffic Volume

Abstract Views: 296  |  PDF Views: 3

Authors

Subhasish Debroy
Department of Computer Applications, Dr. B.C. Roy Engineering College, India
Rajdeep Ray
Department of Electronics and Communication Engineering, Dr. B. C. Roy Engineering College, India
Mofazzal Hossain Khondekar
Department of Applied Electronics and Instrumentation Engineering, Dr. B. C. Roy Engineering College, India
Baisakhi Chakraborty
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India
Anup Kumar Bhattacharjee
Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, India

Abstract


The proposed work deals with a real time hourly internet traffic data set in bits collected from ISPs located in 11 cities of European Country for the period 7th June 2005 to 31st July 2005. Then a thorough statistical inference has been drawn regarding the central tendency, dispersion and distribution of the data. Time-frequency analysis using Smoothed Pseudo Wigner Ville Distribution (SPWVD) is implied to infer knowledge about the non-stationarity of the system. A nonparametric test for normality, Anderson Darling Test (AD-Test) has been performed to detect the binary signature of nonlinearity in the signal. Delay Vector Variance Analysis (DVV) are being exploited to infer deeper knowledge about the determinism and nonlinearity in the system. The results confirm a nonstationary, relatively stochastic and nonlinear profile of the signal under observation.

Keywords


Time-Frequency Analysis, Smoothed Pseudo Wigner Ville Distribution SPWVD, Anderson Darling Test (AD-Test), Delay Vector Variance Analysis (DVV), Nonlinearity.

References