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.
- T. Hossfeld, R. Schatz, M. Seufert, M. Hirth, T. Zinner, and P. Tran-Gia, "Quantification of YouTube QoE via Crowdsourcing", in MQoE, 2011.Google ScholarDigital Library
- P. Casas, A. Sackl, S. Egger, R. Schatz, "YouTube & Facebook Quality of Experience in Mobile Broadband Networks", in IEEE QoEMC, 2012.Google Scholar
- B. Staehle, M. Hirth, R. Pries, F. Wamser, D. Staehle, "YoMo: A YouTube Application Comfort Monitoring Tool", in QoEMCS, 2010.Google Scholar
- M. Eckert, T. Knoll, "An Advanced Network based Method for Video QoE Estimation based on Throughput Measurement", in Proc. EuroView, 2012.Google Scholar
- R. Schatz, T. Hossfeld, P. Casas, "Passive YouTube QoE Monitoring for ISPs", in FingNET, 2012. Google ScholarDigital Library
- F. Ricciato, "Traffic Monitoring and Analysis for the Optimization of a 3G Network", in IEEE Wireless Communications, vol. 13(6), 2006. Google ScholarDigital Library
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