%0 Book Section %1 info3-incollection-2013-18 %A Hoßfeld, Tobias %A Schatz, Raimund %A Biersack, Ernst %A Plissonneau, Louis %B Data Traffic Monitoring and Analysis: From measurement, classification and anomaly detection to Quality of experience %D 2013 %E Ernst Biersack, Christian Callegari, Maja Matijasevic %I Springer’s Computer Communications and Networks series, Volume 7754 %K myown oekonet %T Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience %X This chapter investigates HTTP video streaming over the Internet for the YouTube platform. YouTube is used as concrete example and case study for video delivery over the Internet, since it is not only the most popular online video platform, but also generates a large share of traffic on today’s Internet. We will describe the YouTube infrastructure as well as the underlying mechanisms for optimizing content delivery. Such mechanisms include server selection via DNS as well as application-layer traffic management. Furthermore, the impact of delivery via the Internet on the user experienced quality (QoE) of YouTube video streaming is quantified. In this context, different QoE monitoring approaches are qualitatively compared and evaluated in terms of the accuracy of QoE estimation.

@incollection{info3-incollection-2013-18, abstract = {This chapter investigates HTTP video streaming over the Internet for the YouTube platform. YouTube is used as concrete example and case study for video delivery over the Internet, since it is not only the most popular online video platform, but also generates a large share of traffic on today’s Internet. We will describe the YouTube infrastructure as well as the underlying mechanisms for optimizing content delivery. Such mechanisms include server selection via DNS as well as application-layer traffic management. Furthermore, the impact of delivery via the Internet on the user experienced quality (QoE) of YouTube video streaming is quantified. In this context, different QoE monitoring approaches are qualitatively compared and evaluated in terms of the accuracy of QoE estimation.}, added-at = {2016-03-10T17:33:20.000+0100}, author = {Hoßfeld, Tobias and Schatz, Raimund and Biersack, Ernst and Plissonneau, Louis}, biburl = {https://www.bibsonomy.org/bibtex/2eac10468afa6ff95f2409f36f0bc84ba/uniwue_info3}, booktitle = {Data Traffic Monitoring and Analysis: From measurement, classification and anomaly detection to Quality of experience}, editor = {{Ernst Biersack, Christian Callegari}, Maja Matijasevic}, interhash = {6b1229f5d3c54a19cbbe238fdfb21d6f}, intrahash = {eac10468afa6ff95f2409f36f0bc84ba}, keywords = {myown oekonet}, publisher = {Springer’s Computer Communications and Networks series, Volume 7754}, timestamp = {2022-03-14T00:09:22.000+0100}, title = {Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience}, year = 2013 }