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A Solution for Evaluating the QoS of Voice over IP: Measurements, Analysis and Modeling

A Solution for Evaluating the QoS of Voice over IP: Measurements, Analysis and Modeling

Homero Toral-Cruz, Deni Torres-Román, Leopoldo Estrada-Vargas
Copyright: © 2011 |Pages: 19
ISBN13: 9781609607326|ISBN10: 1609607325|EISBN13: 9781609607333
DOI: 10.4018/978-1-60960-732-6.ch017
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MLA

Toral-Cruz, Homero, et al. "A Solution for Evaluating the QoS of Voice over IP: Measurements, Analysis and Modeling." Advanced Communication Protocol Technologies: Solutions, Methods, and Applications, edited by Katalin Tarnay, et al., IGI Global, 2011, pp. 378-396. https://doi.org/10.4018/978-1-60960-732-6.ch017

APA

Toral-Cruz, H., Torres-Román, D., & Estrada-Vargas, L. (2011). A Solution for Evaluating the QoS of Voice over IP: Measurements, Analysis and Modeling. In K. Tarnay, G. Adamis, & T. Dulai (Eds.), Advanced Communication Protocol Technologies: Solutions, Methods, and Applications (pp. 378-396). IGI Global. https://doi.org/10.4018/978-1-60960-732-6.ch017

Chicago

Toral-Cruz, Homero, Deni Torres-Román, and Leopoldo Estrada-Vargas. "A Solution for Evaluating the QoS of Voice over IP: Measurements, Analysis and Modeling." In Advanced Communication Protocol Technologies: Solutions, Methods, and Applications, edited by Katalin Tarnay, Gusztáv Adamis, and Tibor Dulai, 378-396. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-732-6.ch017

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Abstract

In this chapter, we present a solution for evaluating the Quality of Services (QoS) of Voice over Internet Protocol (VoIP). First, we present an introduction to the main concepts and mathematical background relating to QoS and Internet Protocol (IP) traffic nature, which subsequently are used in the measurements, analysis, and modeling of VoIP traffic. Secondly, we analyze network measurements and the result of the simulation in order to characterize the VoIP traffic nature. As results of this analysis, it is shown that VoIP jitter can be modeled by alpha-stable distributions and self-similar processes, with either Short or Long Range Dependence (i.e., SRD or LRD). Thirdly, we investigate the packet loss effects on the VoIP jitter, and present a methodology for simulating packet loss on VoIP jitter. Finally, we found an empirical relationship between the Hurst parameter (H) and the Packet Loss Rate (PLR); this relationship is based on voice traffic measurements and can be modeled by means of a power-law function with three fitted parameters.

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