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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.
Cited literature [11 references]
https://hal.inria.fr/hal-00692095
Contributor : Fabien Mathieu <>
Submitted on : Friday, April 27, 2012 - 7:43:38 PM
Last modification on : Friday, January 8, 2021 - 5:38:04 PM
Long-term archiving on: : Saturday, July 28, 2012 - 4:20:09 AM
Contributor : Fabien Mathieu <>
Submitted on : Friday, April 27, 2012 - 7:43:38 PM
Last modification on : Friday, January 8, 2021 - 5:38:04 PM
Long-term archiving on: : Saturday, July 28, 2012 - 4:20:09 AM
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