YouTube is changing the way operators manage network performance monitoring. In this paper we introduce YOUQMON, a novel on-line monitoring system for assessing the Quality of Experience (QoE) undergone by HSPA/3G customers watching YouTube videos, using network-layer measurements only. YOUQMON combines passive traffic analysis techniques to detect stalling events in YouTube video streams, with a QoE model to map stallings into a Mean Opinion Score reflecting the end-user experience. We evaluate the stalling detection performance of YOUQMON with hundreds of YouTube video streams, and present results showing the feasibility of performing real-time YouTube QoE monitoring in an operational mobile broadband network.
%0 Journal Article
%1 info3-article-2013-114
%A Casas, Pedro
%A Seufert, Michael
%A Schatz, Raimund
%D 2013
%J ACM SIGMETRICS Performance Evaluation Review
%K myown demobenefit mplane youtube vnf_qoe_cloud
%P 44-46
%T YOUQMON: A System for On-line Monitoring of YouTube QoE in Operational 3G Networks
%V 41
%X YouTube is changing the way operators manage network performance monitoring. In this paper we introduce YOUQMON, a novel on-line monitoring system for assessing the Quality of Experience (QoE) undergone by HSPA/3G customers watching YouTube videos, using network-layer measurements only. YOUQMON combines passive traffic analysis techniques to detect stalling events in YouTube video streams, with a QoE model to map stallings into a Mean Opinion Score reflecting the end-user experience. We evaluate the stalling detection performance of YOUQMON with hundreds of YouTube video streams, and present results showing the feasibility of performing real-time YouTube QoE monitoring in an operational mobile broadband network.
@article{info3-article-2013-114,
abstract = {YouTube is changing the way operators manage network performance monitoring. In this paper we introduce YOUQMON, a novel on-line monitoring system for assessing the Quality of Experience (QoE) undergone by HSPA/3G customers watching YouTube videos, using network-layer measurements only. YOUQMON combines passive traffic analysis techniques to detect stalling events in YouTube video streams, with a QoE model to map stallings into a Mean Opinion Score reflecting the end-user experience. We evaluate the stalling detection performance of YOUQMON with hundreds of YouTube video streams, and present results showing the feasibility of performing real-time YouTube QoE monitoring in an operational mobile broadband network.},
added-at = {2016-03-10T17:32:53.000+0100},
author = {Casas, Pedro and Seufert, Michael and Schatz, Raimund},
biburl = {https://www.bibsonomy.org/bibtex/29603406d0344d0ef2d151ee6dcf8b002/uniwue_info3},
interhash = {6e36aa616f8e279136e48833d1b39db5},
intrahash = {9603406d0344d0ef2d151ee6dcf8b002},
journal = {ACM SIGMETRICS Performance Evaluation Review},
keywords = {myown demobenefit mplane youtube vnf_qoe_cloud},
month = {9},
pages = {44-46},
timestamp = {2022-03-14T00:09:14.000+0100},
title = {YOUQMON: A System for On-line Monitoring of YouTube QoE in Operational 3G Networks},
volume = 41,
year = 2013
}