DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorKollias, Stefanos-
dc.contributor.authorDoulamis, Nikolaos-
dc.contributor.authorDoulamis, Anastasios-
dc.date.accessioned2024-11-18T09:20:42Z-
dc.date.available2024-11-18T09:20:42Z-
dc.date.issued1999-12-01-
dc.identifierscopus-4944242871-
dc.identifier.isbn960805205X-
dc.identifier.isbn978-3-7908-1863-5-
dc.identifier.other4944242871-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2906-
dc.description.abstractAny performance evaluation of broadband networks requires statistical analysis and modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to be a major traffic component over these networks, modeling of such services and accurate estimation of the network resources are crucial for the reliable operation of the future telecommunication networks.In this paper, modeling and statistical analysis of video traffic, generated by long duration real world MPEG-1 encoders, are performed. Particularly, the MPEG video traffic is approximated by a stochastic model, consisting of two Markov chains, based on statistical properties of MPEG-1 sources. The chains are responsible for approximation of packet size and the respective arrival intervals of the traffic respectively. Experimental results are presented using two real-life MPEG-1 coded video sources at two different bit rates, which indicate the good performance of the proposed model as far as the estimation of the network resources is concerned at different buffer sizes and utilization degree.en_US
dc.language.isoenen_US
dc.relation.ispartofComputational Intelligence and Applicationsen_US
dc.subjectModelingen_US
dc.subjectMPEG Video Codingen_US
dc.subjectMultiplexingen_US
dc.subjectPacket lossen_US
dc.titleTraffic analysis and modeling of real world video encodersen_US
dc.typeConference Paperen_US
dc.identifier.scopus2-s2.0-4944242871-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage372en_US
dc.identifier.epage377en_US
dc.linkhttps://www.researchgate.net/publication/267551002_Traffic_Analysis_and_Modeling_of_Real_World_Video_Encodersen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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