Statistical Characterization of the Chunk Size Distribution in DASH

dc.centroE.T.S.I. Telecomunicaciónen_US
dc.contributor.authorVaca-Rubio, Cristian J.
dc.contributor.authorGómez-Paredes, Gerardo
dc.contributor.authorAguayo-Torres, María del Carmen
dc.contributor.authorLópez-Martínez, Francisco Javier
dc.date.accessioned2019-09-13T07:39:59Z
dc.date.available2019-09-13T07:39:59Z
dc.date.created2019
dc.date.issued2019-09-13
dc.departamentoIngeniería de Comunicaciones
dc.description.abstractWe present a statistical characterization of the segment size distribution of video streaming services based on dynamic adaptive streaming over HTTP (DASH). We first obtain the empirical distributions from traffic captures of available data sets encoded with different quality and segment size duration. Then, we determine the distributions that provide a better fit to the empirical data. We show that Weibull and truncated logistic distributions are adequate to modeling the chunk size distributions for a wide range of video qualities and segment size duration. Results are used to develop a source model for DASH traffic, implementing a synthetic generator of DASH-like video traces.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Proyecto Plan Nacional (Ministerio de Economia y Competitividad) TEC2016-80090-C2-1-R, y Universidad de Malagaen_US
dc.identifier.urihttps://hdl.handle.net/10630/18341
dc.language.isoengen_US
dc.relation.eventdate4-6 septiembre 2019en_US
dc.relation.eventplaceSevilla, Españaen_US
dc.relation.eventtitleXXXIV Simposio Nacional de la Unión Científica Internacional de Radio, URSI 2019en_US
dc.rights.accessRightsopen accessen_US
dc.subjectTransmisión digitalen_US
dc.subject.otherDASHen_US
dc.subject.otherTraffic modelen_US
dc.subject.otherStreamingen_US
dc.titleStatistical Characterization of the Chunk Size Distribution in DASHen_US
dc.typeconference outputen_US
dspace.entity.typePublication
relation.isAuthorOfPublication8eef6134-cf8a-4ffb-a92f-174a2743f9c9
relation.isAuthorOfPublication41b342d3-e666-4f74-89b4-177a933a35af
relation.isAuthorOfPublication.latestForDiscovery8eef6134-cf8a-4ffb-a92f-174a2743f9c9

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