R. Schatz, T. Hoßfeld, and P. Casas. Best Paper Award at Workshop on Future Internet and Next Generation Networks (FINGNet-2012), Palermo, Italy, (July 2012)
Abstract
Over last decade, Quality of Experience (QoE)
has become the guiding paradigm for enabling a more usercentric
understanding of quality of communication networks
and services. The intensifying competition among ISPs and the
exponentially increasing traffic volumes caused by online video
platforms like YouTube is forcing service providers to integrate
QoE into their corporate DNA.
This paper investigates the problem of YouTube QoE monitoring
from an access provider’s perspective. To this end, we
present three novel methods for in-network measurement of
the QoE impairment that dominates user perception in the
context of HTTP video-streaming: stalling of playback. Our
evaluation results show that it is possible to detect applicationlevel
stalling events at high accuracy by using network-level
passive probing only. However, only the most complex and
most accurate approach can be used for QoE prediction due
to the non-linearities inherent in human quality perception.
%0 Conference Paper
%1 info3-inproceedings-2012-437
%A Schatz, Raimund
%A Hoßfeld, Tobias
%A Casas, Pedro
%B Best Paper Award at Workshop on Future Internet and Next Generation Networks (FINGNet-2012)
%C Palermo, Italy
%D 2012
%K myown demobenefit vnf_qoe_cloud
%T Passive YouTube QoE Monitoring for ISPs
%X Over last decade, Quality of Experience (QoE)
has become the guiding paradigm for enabling a more usercentric
understanding of quality of communication networks
and services. The intensifying competition among ISPs and the
exponentially increasing traffic volumes caused by online video
platforms like YouTube is forcing service providers to integrate
QoE into their corporate DNA.
This paper investigates the problem of YouTube QoE monitoring
from an access provider’s perspective. To this end, we
present three novel methods for in-network measurement of
the QoE impairment that dominates user perception in the
context of HTTP video-streaming: stalling of playback. Our
evaluation results show that it is possible to detect applicationlevel
stalling events at high accuracy by using network-level
passive probing only. However, only the most complex and
most accurate approach can be used for QoE prediction due
to the non-linearities inherent in human quality perception.
@inproceedings{info3-inproceedings-2012-437,
abstract = {Over last decade, Quality of Experience (QoE)
has become the guiding paradigm for enabling a more usercentric
understanding of quality of communication networks
and services. The intensifying competition among ISPs and the
exponentially increasing traffic volumes caused by online video
platforms like YouTube is forcing service providers to integrate
QoE into their corporate DNA.
This paper investigates the problem of YouTube QoE monitoring
from an access provider’s perspective. To this end, we
present three novel methods for in-network measurement of
the QoE impairment that dominates user perception in the
context of HTTP video-streaming: stalling of playback. Our
evaluation results show that it is possible to detect applicationlevel
stalling events at high accuracy by using network-level
passive probing only. However, only the most complex and
most accurate approach can be used for QoE prediction due
to the non-linearities inherent in human quality perception.},
added-at = {2016-03-10T17:37:58.000+0100},
address = {Palermo, Italy},
author = {Schatz, Raimund and Hoßfeld, Tobias and Casas, Pedro},
biburl = {https://www.bibsonomy.org/bibtex/2fa5cfe3c933a95cd1a1b43529f4a8533/uniwue_info3},
booktitle = {Best Paper Award at Workshop on Future Internet and Next Generation Networks (FINGNet-2012)},
interhash = {4eb56eecea3bcb0e2d0e1fa18e1c500a},
intrahash = {fa5cfe3c933a95cd1a1b43529f4a8533},
keywords = {myown demobenefit vnf_qoe_cloud},
month = {7},
timestamp = {2022-03-14T00:10:52.000+0100},
title = {Passive YouTube QoE Monitoring for ISPs},
year = 2012
}