<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pedro Casas</style></author><author><style face="normal" font="default" size="100%">Andreas Sackl</style></author><author><style face="normal" font="default" size="100%">Sebastian Egger</style></author><author><style face="normal" font="default" size="100%">Raimund Schatz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Characterizing Microsoft Lync Online in Mobile Networks: a Quality of Experience Perspective</style></title><secondary-title><style face="normal" font="default" size="100%">3rd IEEE International Conference on Cloud Networking</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Audioconferencing</style></keyword><keyword><style  face="normal" font="default" size="100%">Cloud QoE</style></keyword><keyword><style  face="normal" font="default" size="100%">Distributed Data Center</style></keyword><keyword><style  face="normal" font="default" size="100%">Microsoft Lync Online</style></keyword><keyword><style  face="normal" font="default" size="100%">MOS</style></keyword><keyword><style  face="normal" font="default" size="100%">Remote Desktop Sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">Telepresence</style></keyword><keyword><style  face="normal" font="default" size="100%">Videoconferencing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Luxembourg, Luxembourg</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Cloud-based systems are gaining enormous popularity due to a number of promised benefits, including ease of deployment and administration, scalability and flexibility, and costs savings. However, as more personal and business applications migrate to the Cloud, the service quality becomes an important differentiator between providers. ISPs, Cloud providers and enterprises migrating their services to the Cloud must therefore understand the network requirements to ensure proper end-user Quality of Experience (QoE) in these services. This paper addresses the problem of QoE in Telepresence and Remote Collaboration (TRC) services provided by Microsoft Lync Online (MLO). MLO is a Cloud-based service providing online meeting capabilities including videoconferencing, audio calls, and desktop sharing, and has become the default system for TRC in enterprise scenarios. We present a complete study of the QoE undergone by 44 MLO users in controlled subjective lab tests. The study is performed on three different interactive scenarios running on top of the real MLO Cloud service, additionally shaping the Lync flows at the access network to influence the participants experience. The scenarios include audioconferencing, videoconferencing, and remote collaboration though desktop sharing. By passively monitoring the end-to-end QoS achieved by the Lync flows, and correlating it with the QoE feedbacks provided by the participants, this study permits to better understand the interplays between network performance and QoE in TRC Cloud services. In addition, we provide a network-level characterization of the traffic generated by MLO, as well as an overview on the infrastructure hosting MLO servers.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pedro Casas</style></author><author><style face="normal" font="default" size="100%">Pierdomenico Fiadino</style></author><author><style face="normal" font="default" size="100%">Andreas Sackl</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">YouTube in the Move: Understanding the Performance of YouTube in Cellular Networks (BEST PAPER AWARD RUNNER UP)</style></title><secondary-title><style face="normal" font="default" size="100%">Wireless Days 2014</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cellular Networks</style></keyword><keyword><style  face="normal" font="default" size="100%">Content Delivery Networks</style></keyword><keyword><style  face="normal" font="default" size="100%">End-device Measurements</style></keyword><keyword><style  face="normal" font="default" size="100%">QoE</style></keyword><keyword><style  face="normal" font="default" size="100%">Traffic Measurements</style></keyword><keyword><style  face="normal" font="default" size="100%">YouTube</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Rio de Janeiro, Brazil</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;YouTube is the most popular and volume-dominant service in today'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).&lt;/p&gt;</style></abstract></record></records></xml>