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Approximation of Internet Traffic in Wavelet Domain

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Čisar, Petar
Maravić-Cisar, Sanja
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Abstract
The paper elaborates the complexity and importance of modeling Internet traffic. In this sense, having in mind the nature of Internet traffic as well as actual information in this sphere, it was emphasized that there is no universally applicable model. This standpoint has initiated the idea of examining the possibility of approximation internet traffic. Because of the rather suitable property, namely that is not necessary to provide stationarity of the input signal, traffic analysis in this paper was performed in wavelet domain, using different types of wavelets, with the aim of determining the convenience of certain wavelets for the analysis of Internet traffic. It was concluded that all examined wavelets have generated approximately similar statistical results, which depend on the selected level of approximation and analyzed traffic curve. For different curves at the same level of approximation, statistical values have been obtained that do not differ significantly from the statistic...s of the corresponding original signals. It was also found that the discrete approximation of the symlet wavelet sym(2) provided the largest number of statistically accurate results, and in this regard proved to be the most suitable for the analysis of Internet traffic.

Source:
2014 IEEE 12th international symposium on intelligent systems and informatics (SISY), 2014, 87-91
Publisher:
  • IEEE, New York

DOI: 10.1109/SISY.2014.6923563

WoS: 000358412300016

Scopus: 2-s2.0-84911164074
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http://jakov.kpu.edu.rs/handle/123456789/585
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  • Radovi istraživača / Researchers' publications
Institution/Community
Jakov
TY  - CONF
AU  - Čisar, Petar
AU  - Maravić-Cisar, Sanja
PY  - 2014
UR  - http://jakov.kpu.edu.rs/handle/123456789/585
AB  - The paper elaborates the complexity and importance of modeling Internet traffic. In this sense, having in mind the nature of Internet traffic as well as actual information in this sphere, it was emphasized that there is no universally applicable model. This standpoint has initiated the idea of examining the possibility of approximation internet traffic. Because of the rather suitable property, namely that is not necessary to provide stationarity of the input signal, traffic analysis in this paper was performed in wavelet domain, using different types of wavelets, with the aim of determining the convenience of certain wavelets for the analysis of Internet traffic. It was concluded that all examined wavelets have generated approximately similar statistical results, which depend on the selected level of approximation and analyzed traffic curve. For different curves at the same level of approximation, statistical values have been obtained that do not differ significantly from the statistics of the corresponding original signals. It was also found that the discrete approximation of the symlet wavelet sym(2) provided the largest number of statistically accurate results, and in this regard proved to be the most suitable for the analysis of Internet traffic.
PB  - IEEE, New York
C3  - 2014 IEEE 12th international symposium on intelligent systems and informatics (SISY)
T1  - Approximation of Internet Traffic in Wavelet Domain
SP  - 87
EP  - 91
DO  - 10.1109/SISY.2014.6923563
ER  - 
@conference{
author = "Čisar, Petar and Maravić-Cisar, Sanja",
year = "2014",
abstract = "The paper elaborates the complexity and importance of modeling Internet traffic. In this sense, having in mind the nature of Internet traffic as well as actual information in this sphere, it was emphasized that there is no universally applicable model. This standpoint has initiated the idea of examining the possibility of approximation internet traffic. Because of the rather suitable property, namely that is not necessary to provide stationarity of the input signal, traffic analysis in this paper was performed in wavelet domain, using different types of wavelets, with the aim of determining the convenience of certain wavelets for the analysis of Internet traffic. It was concluded that all examined wavelets have generated approximately similar statistical results, which depend on the selected level of approximation and analyzed traffic curve. For different curves at the same level of approximation, statistical values have been obtained that do not differ significantly from the statistics of the corresponding original signals. It was also found that the discrete approximation of the symlet wavelet sym(2) provided the largest number of statistically accurate results, and in this regard proved to be the most suitable for the analysis of Internet traffic.",
publisher = "IEEE, New York",
journal = "2014 IEEE 12th international symposium on intelligent systems and informatics (SISY)",
title = "Approximation of Internet Traffic in Wavelet Domain",
pages = "87-91",
doi = "10.1109/SISY.2014.6923563"
}
Čisar, P.,& Maravić-Cisar, S.. (2014). Approximation of Internet Traffic in Wavelet Domain. in 2014 IEEE 12th international symposium on intelligent systems and informatics (SISY)
IEEE, New York., 87-91.
https://doi.org/10.1109/SISY.2014.6923563
Čisar P, Maravić-Cisar S. Approximation of Internet Traffic in Wavelet Domain. in 2014 IEEE 12th international symposium on intelligent systems and informatics (SISY). 2014;:87-91.
doi:10.1109/SISY.2014.6923563 .
Čisar, Petar, Maravić-Cisar, Sanja, "Approximation of Internet Traffic in Wavelet Domain" in 2014 IEEE 12th international symposium on intelligent systems and informatics (SISY) (2014):87-91,
https://doi.org/10.1109/SISY.2014.6923563 . .

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