Abstract

From the point of view of telecommunication providers, video streaming is one of the most demanding applications in today's Internet. Over 73\% of the total global network traffic has been attributed to video streaming applications in 2016. In this work, we provide a first step towards a better understanding of the packet level behavior of video streaming traffic to enable more efficient traffic engineering in the future. We perform a measurement study with the popular video streaming platform YouTube and show that the different playout phases of a video streaming session can not only be observed by evaluating application layer metrics, but also from raw and encrypted packet level traces.

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