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We describe a “crowd measurement” project, referred to as PoQeMoN, whose main objective is to identify Quality of Service (QoS) indicators in order to predict the Quality of Experience (QoE) for HTTP YouTube content on mobile networks. Results are based on experiments on an operational network. The second contribution of this paper is to show that the proposed indicator is easy to implement in order...
In this paper, we report YouTube traffic measurements from Orange IP backbone network connecting residential customers. We exhibit its salient features in relation to the performance of caching. By examining the file popularity distribution, we show that video requests are highly volatile in that a huge number of files are viewed only a few times; these files are therefore not relevant for caching...
We report in this paper traffic measurements of YouTube traffic from Orange networks. We specifically analyze two weeks of measurements in early April 2012. We show that the popularity curves of YouTube files are constant in time and can be well approximated by truncated Zipf laws with a shape parameter less than one. In addition, there is a huge number of files which are viewed very rarely (only...
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