Wavelet Spectrum for Investigating Statistical Characteristics of UDP-Based Internet Traffic

Jusak, Jusak ORCID: https://orcid.org/0000-0001-5646-4865 and Harris, Richard J. (2012) Wavelet Spectrum for Investigating Statistical Characteristics of UDP-Based Internet Traffic. International Journal of Computer Networks & Communications (IJCNC), 4 (5). ISSN 0957-2293

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Abstract

In this paper, we consider statistical characteristics of real User Datagram Protocol (UDP) traffic. Four main issues in the study include(i) the presence of long rangedependence (LRD) in the UDP traffic,(ii) the marginal distribution of the UDP traces,(iii) dependence structure of wavelet coefficients,(iv) and performance evaluation of the Hurst parameter estimation based on different numbers of vanishing moments of the mother wavelet. By analyzing a large set of real traffic data, it is evident that the UDP Internet traffic reveals the LRD properties with considerably high non-stationary processes.Furthermore, it exhibits non-Gaussian marginal distributions. However, by increasing the number of vanishing moments,it is impossible to achieve reduction fromLRD to become a short range dependence. Thus, it can be shown that there is no significant difference in performance estimation of the Hurst parameter for different numbers of vanishing moments of the mother wavelet.


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Item Type: Article
Additional Information: Jusak, Richard J. Harris
Uncontrolled Keywords: Long range dependence, User Datagram Protocol, Wavelet, Internet traffic
Dewey Decimal Classification: 000 – Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Computer science
Divisions: Perpustakaan > Journals
Depositing User: Annuh Liwan Nahar
Date Deposited: 10 May 2021 14:01
Last Modified: 10 May 2021 14:01
URI: http://repository.dinamika.ac.id/id/eprint/5607

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