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Four Months in DailyMotion: Dissecting User Video Requests

Abstract : The growth of User-Generated Content (UGC) traffic makes the understanding of its nature a priority for network operators, content providers and equipment suppliers. In this paper, we study a four-month dataset that logs all video requests to DailyMotion made by a fixed subset of users. We were able to infer user sessions from raw data, to propose a Markovian model of these sessions, and to study video popularity and its evolution over time. The presented results are a first step for synthesizing an artificial (but realistic) traffic that could be used in simulations or experimental testbeds.
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Submitted on : Friday, April 27, 2012 - 7:43:38 PM
Last modification on : Friday, January 21, 2022 - 3:13:46 AM
Long-term archiving on: : Saturday, July 28, 2012 - 4:20:09 AM


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Yannick Carlinet, The Dang Huynh, Bruno Kauffmann, Fabien Mathieu, Ludovic Noirie, et al.. Four Months in DailyMotion: Dissecting User Video Requests. TRAC 2012 - 3rd International Workshop on TRaffic Analysis and Classification, Aug 2012, Limassol, Cyprus. pp.613-618, ⟨10.1109/IWCMC.2012.6314274⟩. ⟨hal-00692095⟩



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