A study of H.263 traffic modeling in multipoint videoconference sessions over IP networks

Drigas, A; Kouremenos, S; Bakopoulos, Y; Loumos, V

dc.contributor.author	Drigas, A	en
dc.contributor.author	Kouremenos, S	en
dc.contributor.author	Bakopoulos, Y	en
dc.contributor.author	Loumos, V	en
dc.date.accessioned	2014-03-01T01:23:31Z
dc.date.available	2014-03-01T01:23:31Z
dc.date.issued	2006	en
dc.identifier.issn	0140-3664	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16995
dc.subject	H.263 traffic modeling	en
dc.subject	MCU	en
dc.subject	Multipoint videoconference	en
dc.subject	Queueing	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Computer software	en
dc.subject.other	Correlation methods	en
dc.subject.other	Internet	en
dc.subject.other	Mathematical models	en
dc.subject.other	Networks (circuits)	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Probability distributions	en
dc.subject.other	H.263 traffic modeling	en
dc.subject.other	MCU	en
dc.subject.other	Multipoint videoconference	en
dc.subject.other	PDF	en
dc.subject.other	Queueing	en
dc.subject.other	Traffic modeling	en
dc.subject.other	Video conferencing	en
dc.title	A study of H.263 traffic modeling in multipoint videoconference sessions over IP networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.comcom.2005.03.007	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.comcom.2005.03.007	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This manuscript is a contribution on the modeling of H.263 traffic in multipoint videoconference sessions over IP Networks. Our study includes analysis and modeling-assessment of extensive data gathered during realistic videoconference sessions between commercial H.263-compliant terminal clients (with different videoconference software packages installed). All terminal clients were communicating through a Multipoint Control Unit (software or hardware MCU) at 'switched presence' mode and for comparative purposes the same typical videoconference content (a person speaking, with mild movement and occasional zoom/span) was used. The analysis of the H.263 data at the frame level suggests that the traffic from the different terminals to the MCU can be represented by a stationary stochastic process with an AutoCorrelation Function (ACF) rapidly decaying to zero and a Gamma formed marginal frame-size Probability Distribution Function (PDF). An accurate analysis of the H.263 traffic from all terminals (with the same visual content and different videoconference software used) shows indicative differences in the ACF and PDF of different terminals' traffic and insights that no generic traffic model can be applied for all cases. Aiming at a realistic, reusable and simple H.263 traffic model, conservative enough for queueing analysis and network estimation, this study discusses methods for calculating the appropriate model parameters from the observed traffic data and proposes a new technique for unconventional fitting of the PDF. The presented modeling and queueing results indicate the suitability of the proposed models for H.263 traffic modeling in IP networks. (c) 2005 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Communications	en
dc.identifier.doi	10.1016/j.comcom.2005.03.007	en
dc.identifier.isi	ISI:000235322800008	en
dc.identifier.volume	29	en
dc.identifier.issue	3	en
dc.identifier.spage	372	en
dc.identifier.epage	391	en