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Modeling the Content Popularity Evolution in Video-on-Demand Systems

  • Attila Kőrösi
  • Balázs Székely
  • Miklós Máté
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 63)

Abstract

The simulation and testing of Video-on-Demand (VoD) services require the generation of realistic content request patterns to emulate a virtual user base. The efficiency of these services depend on the popularity distribution of the video library, thus the traffic generators have to mimic the statistical properties of real life video requests. In this paper the connection among the content popularity descriptors of a generic VoD service is investigated. We provide an analytical model for the relationships among the most important popularity descriptors, such as the ordered long term popularity of the whole video library, the popularity evolutions and the initial popularity of the individual contents. Beyond the theoretical interest, our method provides a simple way of generating realistic request patterns for simulating or testing media servers.

Keywords

Video popularity analytical model 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  • Attila Kőrösi
    • 1
  • Balázs Székely
    • 2
  • Miklós Máté
    • 1
  1. 1.Department of Telecommunication and Media InformaticsBudapest University of Technology and EconomicsHungary
  2. 2.Institute of MathematicsBudapest University of Technology and EconomicsHungary

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