An Educated Guess on QoE in Operational Networks through Large-Scale Measurements

Pedro Casas, Bruno Gardlo, Raimund Schatz, Marco Mellia
2016 Proceedings of the 2016 workshop on - Internet-QoE '16  
Downlink throughput is the most widely used and accepted performance feature within the networking community, specially in the operational field. Current network monitoring and reporting systems as well as network quality benchmarking campaigns use the Average Downlink Throughput (ADT) as the main Key Performance Indicators (KPIs) reflecting the health of the network. In this paper we address the problem of network performance monitoring and assessment in operational networks from a
more » ... , Quality of Experience (QoE) perspective. While we have shown in the past that accurate QoE estimation requires measurements and KPIs collected at multiple levels of the communications stack -including network, transport, application and enduser layers, we take a practical approach and provide an educated guess on QoE using only a standard ADT-based KPI as input. We do so to maximize the utilization of throughput measurements currently collected with common network traffic monitoring systems. Armed with QoE models mapping downlink bandwidth to user experience -derived from subjective QoE lab tests, we estimate the QoE undergone by customers of both cellular and fixed-line networks, using large-scale passive traffic measurements. In particular, we study the performance of three highly popular end-customer services, including YouTube video streaming, Facebook social networking, and WhatsApp multimedia sharing. Surprisingly, our results suggest that up to 33% of the observed traffic flows might result in sub-optimal -or even poor, endcustomer experience in both cellular and fixed-line networks, for the monitored services.
doi:10.1145/2940136.2940137 fatcat:5nie4hxu4vekfngtrb3lf4nn24