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

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
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://irep.iium.edu.my/8609/ http://irep.iium.edu.my/8609/ http://irep.iium.edu.my/8609/ http://irep.iium.edu.my/8609/1/HS-MCM_FINAL-ALL--RV.pdf

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spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/8609/ http://irep.iium.edu.my/8609/ http://irep.iium.edu.my/8609/1/HS-MCM_FINAL-ALL--RV.pdf
first_indexed	2023-09-18T20:18:22Z
last_indexed	2023-09-18T20:18:22Z
_version_	1777407940732387328

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

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