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.
%0 Generic
%1 info3-poster-2018-1
%A Geissler, Stefan
%A Lange, Stanislav
%A Wamser, Florian
%A Hoßfeld, Tobias
%B 30th International Teletraffic Congress (ITC 30)
%D 2018
%K myown ngn
%T Deriving YouTube Playout Phases from Encrypted Packet Level Traffic
%X 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.
@misc{info3-poster-2018-1,
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.},
added-at = {2019-03-15T10:55:00.000+0100},
author = {Geissler, Stefan and Lange, Stanislav and Wamser, Florian and Hoßfeld, Tobias},
biburl = {https://www.bibsonomy.org/bibtex/22cd9587359785cbcc2aeffb8fade32bc/uniwue_info3},
booktitle = {30th International Teletraffic Congress (ITC 30)},
interhash = {5d17f4ea3203e578b0bd11f479bf14ce},
intrahash = {2cd9587359785cbcc2aeffb8fade32bc},
keywords = {myown ngn},
timestamp = {2022-03-14T00:14:26.000+0100},
title = {Deriving YouTube Playout Phases from Encrypted Packet Level Traffic},
year = 2018
}