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.
%0 Conference Paper
%1 Geissler18ITC30
%A Geissler, Stefan
%A Lange, Stanislav
%A Wamser, Florian
%A Hoßfeld, Tobias
%B 30th International Teletraffic Congress (ITC 30)
%C Vienna, Austria
%D 2018
%K Session_3.2:_Madness_Session itc itc30
%T Deriving YouTube Playout Phases from Encrypted Packet Level Traffic
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc30/Geissler18ITC30.pdf?inline=true
%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 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.
@inproceedings{Geissler18ITC30,
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.},
added-at = {2020-04-29T16:58:36.000+0200},
address = {Vienna, Austria},
author = {Geissler, Stefan and Lange, Stanislav and Wamser, Florian and Hoßfeld, Tobias},
biburl = {https://www.bibsonomy.org/bibtex/272518906b8965a08169ddf86f5b4241c/itc},
booktitle = {30th International Teletraffic Congress (ITC 30)},
interhash = {5d17f4ea3203e578b0bd11f479bf14ce},
intrahash = {72518906b8965a08169ddf86f5b4241c},
keywords = {Session_3.2:_Madness_Session itc itc30},
timestamp = {2020-05-24T20:14:34.000+0200},
title = {Deriving YouTube Playout Phases from Encrypted Packet Level Traffic},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc30/Geissler18ITC30.pdf?inline=true},
year = 2018
}