Statistical characterization of a real video on demand service: User behaviour and streaming-media workload analysis

The video on demand service characterized in this article has surpassed 4 years of service, and the access log database stores information of more than 160,000 reproductions and 900 videos. The wide variety of subjects, the range of content lengths and a frequent update of contents (several new vide...

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Bibliographic Details
Published inSimulation modelling practice and theory Vol. 15; no. 6; pp. 672 - 689
Main Authors García, Roberto, Pañeda, Xabiel G., García, Victor, Melendi, David, Vilas, Manuel
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.07.2007
Subjects
Multimedia streaming
Network traffic measurement
Video on demand
Workload characterization
Video on demand
Network traffic measurement
Workload characterization
Multimedia streaming
Online AccessGet full text
ISSN1569-190X
1878-1462
DOI10.1016/j.simpat.2007.02.004

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Summary:The video on demand service characterized in this article has surpassed 4 years of service, and the access log database stores information of more than 160,000 reproductions and 900 videos. The wide variety of subjects, the range of content lengths and a frequent update of contents (several new videos every day), clearly differentiate this study from other previous research limited to specific users, subjects or environments. We present a statistical study of user behaviour and streaming traffic, analyzing session characteristics, mistaken reproductions, amount of media delivered, number and length of pauses and jumps in the reproduction, popularity and daily access profile. The results of the analysis will allow us to develop simulation models and workload generators to evaluate different scenarios and situations of the service.
ISSN:1569-190X
1878-1462
DOI:10.1016/j.simpat.2007.02.004