@inproceedings {Wam2015,
	title = {YoMoApp: a Tool for Analyzing QoE of YouTube HTTP Adaptive Streaming in Mobile Networks},
	booktitle = {European Conference on Networks and Communications (EuCNC)},
	year = {2015},
	author = {Florian Wamser and Michael Seufert and Pedro Casas and Ralf Irmer and Phuoc Tran-Gia and Raimund Schatz}
}
@inproceedings {Seu2015,
	title = {YouTube QoE on Mobile Devices: Subjective Analysis of Classical vs. Adaptive Video Streaming},
	booktitle = {6th International Workshop on Traffic Analysis and Characterization (TRAC)},
	year = {2015},
	author = {Michael Seufert and Florian Wamser and Pedro Casas and Ralf Irmer and Phuoc Tran-Gia and Raimund Schatz}
}
@inproceedings {Cas2014b,
	title = {YouTube All Around: Characterizing YouTube from Mobile and Fixed-line Network Vantage Points},
	booktitle = {EuCNC},
	year = {2014},
	month = {06/2014},
	address = {Bologna, IT},
	author = {Pedro Casas and Pierdomenico Fiadino and Arian B{\"a}r and Alessandro D{\textquoteright}Alconzo and Alessandro Finamore and Marco Mellia}
}
@inproceedings {Cas2014c,
	title = {YouTube in the Move: Understanding the Performance of YouTube in Cellular Networks (BEST PAPER AWARD RUNNER UP)},
	booktitle = {Wireless Days 2014},
	year = {2014},
	month = {11/2014},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Rio de Janeiro, Brazil},
	abstract = {<p>YouTube is the most popular and volume-dominant service in today{\textquoteright}s Internet, and is changing the way ISPs manage their networks. Understanding the performance of YouTube traffic is paramount for ISPs, specially for mobile operators, who must handle the huge surge of traffic with the constraints and challenges of cellular networks. In this paper we present an empirical analysis of the performance of YouTube flows accessed through a national-wide cellular network, considering download throughput as well as end-user Quality of Experience (QoE) metrics. The analysis considers the characteristics and impacts of the Content Delivery Network hosting YouTube, and compares its behavior with other popular HTTP video streaming services accessed through cellular networks. The QoE analysis is performed through end-user device measurements, which directly reflect the experience of the end-users. Our study additionally shows the potentiality of monitoring YouTube performance in cellular networks directly from the smart-phones of the users, bypassing the traffic visibility loss at the core of the network introduced by traffic encryption (e.g., HTTPS).</p>},
	keywords = {Cellular Networks, Content Delivery Networks, End-device Measurements, QoE, Traffic Measurements, YouTube},
	author = {Pedro Casas and Pierdomenico Fiadino and Andreas Sackl and Alessandro D{\textquoteright}Alconzo}
}
@inproceedings {Cas2013a,
	title = {YOUQMON: A System for On-line Monitoring of YouTube QoE in Operational 3G Networks},
	booktitle = {31st IFIP Performance},
	year = {2013},
	abstract = {<p>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.</p>},
	keywords = {3G Networks, MOS, QoE Monitoring, Stallings, YouTube},
	doi = {10.1145/2518025.2518033},
	author = {P. Casas and M. Seufert and R. Schatz}
}
