Over the last decade, Quality of Experience (QoE) has
become a new, central paradigm for understanding the quality of
networks and services. In particular, the concept has attracted the
interest of communication network and service providers, since being
able to guarantee good QoE to customers provides an opportunity for
differentiation. In this paper we investigate the potential as well as the
implementation challenges of QoE management in the Internet. Using
YouTube video streaming service as example, we discuss the different
elements that are required for the realization of the paradigm-shift
towards truly user-centric network orchestration.
To this end, we elaborate QoE management requirements for two
complementary network scenarios (wireless mesh Internet access networks
vs. global Internet delivery) and provide a QoE model for YouTube
taking into account impairments like stalling and initial delay. We present
two YouTube QoE monitoring approaches operating on the network
and the end user level. Finally, we demonstrate how QoE can be
dynamically optimized in both network scenarios with two exemplary
concepts, AquareYoum and FoG, respectively. Our results show how QoE
management can truly improve the user experience while at the same
time increase the efficiency of network resource allocation.
%0 Journal Article
%1 info3-article-2012-103
%A Hoßfeld, Tobias
%A Liers, Florian
%A Schatz, Raimund
%A Staehle, Barbara
%A Staehle, Dirk
%A Volkert, Thomas
%A Wamser, Florian
%D 2012
%J PIK - Praxis der Informationverarbeitung und -kommunikation (PIK)
%K myown aquareyoum demobenefit dessert multinext
%T Quality of Experience Management for YouTube: Clouds, FoG and the AquareYoum
%X Over the last decade, Quality of Experience (QoE) has
become a new, central paradigm for understanding the quality of
networks and services. In particular, the concept has attracted the
interest of communication network and service providers, since being
able to guarantee good QoE to customers provides an opportunity for
differentiation. In this paper we investigate the potential as well as the
implementation challenges of QoE management in the Internet. Using
YouTube video streaming service as example, we discuss the different
elements that are required for the realization of the paradigm-shift
towards truly user-centric network orchestration.
To this end, we elaborate QoE management requirements for two
complementary network scenarios (wireless mesh Internet access networks
vs. global Internet delivery) and provide a QoE model for YouTube
taking into account impairments like stalling and initial delay. We present
two YouTube QoE monitoring approaches operating on the network
and the end user level. Finally, we demonstrate how QoE can be
dynamically optimized in both network scenarios with two exemplary
concepts, AquareYoum and FoG, respectively. Our results show how QoE
management can truly improve the user experience while at the same
time increase the efficiency of network resource allocation.
@article{info3-article-2012-103,
abstract = {Over the last decade, Quality of Experience (QoE) has
become a new, central paradigm for understanding the quality of
networks and services. In particular, the concept has attracted the
interest of communication network and service providers, since being
able to guarantee good QoE to customers provides an opportunity for
differentiation. In this paper we investigate the potential as well as the
implementation challenges of QoE management in the Internet. Using
YouTube video streaming service as example, we discuss the different
elements that are required for the realization of the paradigm-shift
towards truly user-centric network orchestration.
To this end, we elaborate QoE management requirements for two
complementary network scenarios (wireless mesh Internet access networks
vs. global Internet delivery) and provide a QoE model for YouTube
taking into account impairments like stalling and initial delay. We present
two YouTube QoE monitoring approaches operating on the network
and the end user level. Finally, we demonstrate how QoE can be
dynamically optimized in both network scenarios with two exemplary
concepts, AquareYoum and FoG, respectively. Our results show how QoE
management can truly improve the user experience while at the same
time increase the efficiency of network resource allocation.},
added-at = {2016-03-10T17:32:46.000+0100},
author = {Hoßfeld, Tobias and Liers, Florian and Schatz, Raimund and Staehle, Barbara and Staehle, Dirk and Volkert, Thomas and Wamser, Florian},
biburl = {https://www.bibsonomy.org/bibtex/25ec33d83f4bba372b36fb53b522b7701/uniwue_info3},
interhash = {02bbc4a633068f7b79d753d8410c989a},
intrahash = {5ec33d83f4bba372b36fb53b522b7701},
journal = {PIK - Praxis der Informationverarbeitung und -kommunikation (PIK)},
keywords = {myown aquareyoum demobenefit dessert multinext},
month = {8},
timestamp = {2022-03-14T00:09:11.000+0100},
title = {Quality of Experience Management for YouTube: Clouds, FoG and the AquareYoum},
year = 2012
}