Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models

In this paper, we analyze the jitter and packet loss behavior of Voice over Internet Protocol (VoIP) traffic by means of networks measurements and simulations results. As result of these analyses, we provide a detailed characterization and accurate modeling of these Quality of Service (QoS) paramete...

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Main Authors: Toral-Cruz, Homero, Pathan, Al-Sakib Khan, Pacheco, Julio C. Ramírez
Format: Article
Language:English
Published: Elsevier 2012
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Online Access:http://irep.iium.edu.my/8609/1/HS-MCM_FINAL-ALL--RV.pdf
http://irep.iium.edu.my/8609/
http://www.journals.elsevier.com/mathematical-and-computer-modelling/
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spelling my.iium.irep.86092014-06-10T08:22:52Z http://irep.iium.edu.my/8609/ Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models Toral-Cruz, Homero Pathan, Al-Sakib Khan Pacheco, Julio C. Ramírez QA75 Electronic computers. Computer science QA76 Computer software In this paper, we analyze the jitter and packet loss behavior of Voice over Internet Protocol (VoIP) traffic by means of networks measurements and simulations results. As result of these analyses, we provide a detailed characterization and accurate modeling of these Quality of Service (QoS) parameters. Our studies have revealed that VoIP jitter can be modeled by self-similar processes with short range dependence (SRD) or long range dependence (LRD). The discovery of LRD (a kind of asymptotic fractal scaling) in VoIP jitter was followed by a further work that shows the evidence of multifractal behavior. The implication of these behaviors for VoIP and other interactive multimedia services is that receiver de-jitter buffer may not be large enough to mask the jitter with LRD and multifractal characteristics. On the other hand, we use a description of VoIP packet loss based on microscopic and macroscopic packet loss behaviors, where these behaviors can be modeled by 2-state and 4-state Markov chains, respectively. Based on the above mentioned points, we present a methodology for simulating packet loss. Besides, we found relationships between Hurst parameter (H) with the packet loss rate (PLR); these relationships are based on voice traffic measurements and can be modeled by means of a power-law function, characterized by three fitted parameters. The proposed models can be used to: (i) design a de-jitter buffer, (ii) to implement a synthetic generator of VoIP jitter data traces, where the synthetic jitter data traces can be used as test vectors to carry out the performance evaluation of a de-jitter buffer of VoIP system, and (iii) design effective schemes for packet loss recovery. Elsevier 2012 Article REM application/pdf en http://irep.iium.edu.my/8609/1/HS-MCM_FINAL-ALL--RV.pdf Toral-Cruz, Homero and Pathan, Al-Sakib Khan and Pacheco, Julio C. Ramírez (2012) Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models. Mathematical and Computer Modelling Journal. ISSN 0895-7177 (In Press) http://www.journals.elsevier.com/mathematical-and-computer-modelling/ DOI: 10.1016/j.mcm.2011.12.007
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Toral-Cruz, Homero
Pathan, Al-Sakib Khan
Pacheco, Julio C. Ramírez
Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models
description In this paper, we analyze the jitter and packet loss behavior of Voice over Internet Protocol (VoIP) traffic by means of networks measurements and simulations results. As result of these analyses, we provide a detailed characterization and accurate modeling of these Quality of Service (QoS) parameters. Our studies have revealed that VoIP jitter can be modeled by self-similar processes with short range dependence (SRD) or long range dependence (LRD). The discovery of LRD (a kind of asymptotic fractal scaling) in VoIP jitter was followed by a further work that shows the evidence of multifractal behavior. The implication of these behaviors for VoIP and other interactive multimedia services is that receiver de-jitter buffer may not be large enough to mask the jitter with LRD and multifractal characteristics. On the other hand, we use a description of VoIP packet loss based on microscopic and macroscopic packet loss behaviors, where these behaviors can be modeled by 2-state and 4-state Markov chains, respectively. Based on the above mentioned points, we present a methodology for simulating packet loss. Besides, we found relationships between Hurst parameter (H) with the packet loss rate (PLR); these relationships are based on voice traffic measurements and can be modeled by means of a power-law function, characterized by three fitted parameters. The proposed models can be used to: (i) design a de-jitter buffer, (ii) to implement a synthetic generator of VoIP jitter data traces, where the synthetic jitter data traces can be used as test vectors to carry out the performance evaluation of a de-jitter buffer of VoIP system, and (iii) design effective schemes for packet loss recovery.
format Article
author Toral-Cruz, Homero
Pathan, Al-Sakib Khan
Pacheco, Julio C. Ramírez
author_facet Toral-Cruz, Homero
Pathan, Al-Sakib Khan
Pacheco, Julio C. Ramírez
author_sort Toral-Cruz, Homero
title Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models
title_short Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models
title_full Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models
title_fullStr Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models
title_full_unstemmed Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov Models
title_sort accurate modeling of voip traffic qos parameters in current and future networks with multifractal and markov models
publisher Elsevier
publishDate 2012
url http://irep.iium.edu.my/8609/1/HS-MCM_FINAL-ALL--RV.pdf
http://irep.iium.edu.my/8609/
http://www.journals.elsevier.com/mathematical-and-computer-modelling/
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score 13.154949