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- W2897435388 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 2017. 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." @default.
- W2897435388 created "2018-10-26" @default.
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- W2897435388 date "2018-09-01" @default.
- W2897435388 modified "2023-09-26" @default.
- W2897435388 title "Deriving YouTube Playout Phases from Encrypted Packet Level Traffic" @default.
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- W2897435388 doi "https://doi.org/10.1109/itc30.2018.00023" @default.
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