<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</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%">Sarah Wassermann</style></author><author><style face="normal" font="default" size="100%">Stefano Traverso</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Edion Tego</style></author><author><style face="normal" font="default" size="100%">Francesco Matera</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Unveiling Network and Service Performance Degradation in the Wild with mPlane</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Communications Magazine - Network Testing Series</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Unveiling network and service performance issues in complex and highly decentralized systems such as the Internet is a major challenge. Indeed, the Internet is based on decentralization and diversity. However, its distributed nature leads to operational brittleness and difficulty in identifying the root causes of performance degradation. In such a context, network measurements are a fundamental pillar to shed light and to unveil design and implementation defects. To tackle this fragmentation and visibility problem, we have recently conceived mPlane, a distributed measurement platform which runs, collects and analyses traffic measurements to study the operation and functioning of the Internet. In this paper, we show the potentiality of the mPlane approach to unveil network and service degradation issues in live, operational networks, involving both fixed-line and cellular networks. In particular, we combine active and passive measurements to troubleshoot problems in end-customer Internet access connections, or to automatically detect and diagnose anomalies in Internet-scale services (e.g., YouTube) which impact a large number of end-users.&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%">Pierdomenico Fiadino</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Mirko Schiavone</style></author><author><style face="normal" font="default" size="100%">Pedro Casas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks</style></title><secondary-title><style face="normal" font="default" size="100%">ACM SIGCOMM</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></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%">Pierdomenico Fiadino</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Mirko Schiavone</style></author><author><style face="normal" font="default" size="100%">Pedro Casas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">RCATool - A Framework for Detecting and Diagnosing Anomalies in Cellular Networks</style></title><secondary-title><style face="normal" font="default" size="100%">27th International Teletraffic Congress (ITC)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></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%">Pierdomenico Fiadino</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Mirko Schiavone</style></author><author><style face="normal" font="default" size="100%">Pedro Casas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards Automatic Detection and Diagnosis of Internet Service Anomalies via DNS Traffic Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">6th International Workshop on Traffic Analysis and Characterization (TRAC)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maurizio Dusi</style></author><author><style face="normal" font="default" size="100%">Saverio Niccolini</style></author><author><style face="normal" font="default" size="100%">Sofia Nikitaki</style></author><author><style face="normal" font="default" size="100%">Daniele Apiletti</style></author><author><style face="normal" font="default" size="100%">Elena Baralis</style></author><author><style face="normal" font="default" size="100%">Alessandro Finamore</style></author><author><style face="normal" font="default" size="100%">Luigi Grimaudo</style></author><author><style face="normal" font="default" size="100%">Stefano Traverso</style></author><author><style face="normal" font="default" size="100%">Francesco Matera</style></author><author><style face="normal" font="default" size="100%">Edion Tego</style></author><author><style face="normal" font="default" size="100%">V, Guchev</style></author><author><style face="normal" font="default" size="100%">Zied Ben Houidi</style></author><author><style face="normal" font="default" size="100%">Pietro Michiardi</style></author><author><style face="normal" font="default" size="100%">Marco Milanesio</style></author><author><style face="normal" font="default" size="100%">YiXi Gong</style></author><author><style face="normal" font="default" size="100%">Dario Rossi</style></author><author><style face="normal" font="default" size="100%">Ilias Leontiadis</style></author><author><style face="normal" font="default" size="100%">G, Dimopoulos</style></author><author><style face="normal" font="default" size="100%">Tivadar Szemethy</style></author><author><style face="normal" font="default" size="100%">A, Bakay</style></author><author><style face="normal" font="default" size="100%">Arian Bär</style></author><author><style face="normal" font="default" size="100%">Pedro Casas</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Pierdomenico Fiadino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Algorithm and Scheduler Design and Implementation</style></title><short-title><style face="normal" font="default" size="100%">D3.3</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">algorithm design</style></keyword><keyword><style  face="normal" font="default" size="100%">job scheduler</style></keyword><keyword><style  face="normal" font="default" size="100%">mPlane software</style></keyword><keyword><style  face="normal" font="default" size="100%">repository tools</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%">09/2014</style></date></pub-dates></dates><isbn><style face="normal" font="default" size="100%">D3.3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></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%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Pierdomenico Fiadino</style></author><author><style face="normal" font="default" size="100%">Arian Bär</style></author><author><style face="normal" font="default" size="100%">Alessandro Finamore</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the Analysis of QoE-based Performance Degradation in YouTube Traffic</style></title><secondary-title><style face="normal" font="default" size="100%">10th International Conference on Network and Service Management, CNSM 2014</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">clustering</style></keyword><keyword><style  face="normal" font="default" size="100%">Content Delivery Networks</style></keyword><keyword><style  face="normal" font="default" size="100%">Empirical Entropy</style></keyword><keyword><style  face="normal" font="default" size="100%">Performance Degradation</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality of Experience</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 service in today's Internet. Google relies on its massive Content Delivery Network (CDN) to push YouTube videos as close as possible to the end-users to improve their Quality of Experience (QoE), as well as to pursue its own optimization goals. Adopting space and time variant traffic delivery policies, Google servers handle users' requests from multiple geo-distributed locations at different times. Such traffic delivery policies can have a relevant impact on the traffic routed through the Internet Service Providers (ISPs) providing the access, but most importantly, they can have negative effects on the end-user QoE. In this paper we shed light on the problem of diagnosing QoE-based performance degradation events in YouTube's traffic. Through the analysis of one month of YouTube flow traces collected at the network of a large European ISP, we particularly identify and drill down a Google's CDN server selection policy negatively impacting the watching experience of YouTube users during several days at peak-load times. The analysis combines both the user-side perspective and the CDN perspective of the end-to-end YouTube delivery service to diagnose the problem. On the one hand, we rely on the monitoring of YouTube QoE-based Key Performance Indicators (KPIs) to detect performance degradation events affecting the end-customers. On the other hand, we analyze the temporal behavior of the Google CDN traffic delivery policies, by tracking the activity of the Google servers providing the videos. The analysis is supported by time-series analysis, entropy-based approaches, and clustering techniques to flag the aforementioned anomaly. The main contributions of the paper are threefold: firstly, we provide a large-scale characterization of the YouTube service in terms of traffic characteristics and provisioning behavior of the Google CDN servers. Secondly, we introduce simple yet effective QoE-based KPIs to monitor YouTube videos from the end-user perspective. Finally and most important, we analyze and provide evidence of the occurrence of QoE-based YouTube anomalies induced by CDN server selection policies, which are somehow normally hidden from the common knowledge of the end-user. This is a main issue for ISPs, who see their reputation degrade when such events occur, even if Google is the culprit.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Umberto Manferdini</style></author><author><style face="normal" font="default" size="100%">Stefano Traverso</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author><author><style face="normal" font="default" size="100%">Edion Tego</style></author><author><style face="normal" font="default" size="100%">Francesco Matera</style></author><author><style face="normal" font="default" size="100%">Zied Ben Houidi</style></author><author><style face="normal" font="default" size="100%">Marco Milanesio</style></author><author><style face="normal" font="default" size="100%">Pietro Michiardi</style></author><author><style face="normal" font="default" size="100%">Dario Rossi</style></author><author><style face="normal" font="default" size="100%">D. Cicalese</style></author><author><style face="normal" font="default" size="100%">D. Joumblatt</style></author><author><style face="normal" font="default" size="100%">Jordan Augé</style></author><author><style face="normal" font="default" size="100%">Maurizio Dusi</style></author><author><style face="normal" font="default" size="100%">Sofia Nikitaki</style></author><author><style face="normal" font="default" size="100%">Mohamed Ahmed</style></author><author><style face="normal" font="default" size="100%">Ilias Leontiadis</style></author><author><style face="normal" font="default" size="100%">L. Baltrunas</style></author><author><style face="normal" font="default" size="100%">M. Varvello</style></author><author><style face="normal" font="default" size="100%">Pedro Casas</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Benoit Donnet</style></author><author><style face="normal" font="default" size="100%">W. Du</style></author><author><style face="normal" font="default" size="100%">Guy Leduc</style></author><author><style face="normal" font="default" size="100%">Y. Liao</style></author><author><style face="normal" font="default" size="100%">Alessandro Capello</style></author><author><style face="normal" font="default" size="100%">Fabrizio Invernizzi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%"> Cross-check of Analysis Modules and Reasoner Interactions</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">reasoner</style></keyword><keyword><style  face="normal" font="default" size="100%">WP4</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><number><style face="normal" font="default" size="100%">D4.3</style></number><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Deliverable</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pedro Casas</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Maurizio Dusi</style></author><author><style face="normal" font="default" size="100%">Sofia Nikitaki</style></author><author><style face="normal" font="default" size="100%">Mohamed Ahmed</style></author><author><style face="normal" font="default" size="100%">Stefano Traverso</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author><author><style face="normal" font="default" size="100%">Daniele Apiletti</style></author><author><style face="normal" font="default" size="100%">Luigi Grimaudo</style></author><author><style face="normal" font="default" size="100%">Elena Baralis</style></author><author><style face="normal" font="default" size="100%">Dario Rossi</style></author><author><style face="normal" font="default" size="100%">D. Joumblatt</style></author><author><style face="normal" font="default" size="100%">Alessandro Capello</style></author><author><style face="normal" font="default" size="100%">M. D'Ambrosio</style></author><author><style face="normal" font="default" size="100%">Fabrizio Invernizzi</style></author><author><style face="normal" font="default" size="100%">M. Ullio</style></author><author><style face="normal" font="default" size="100%">Andrea Fregosi</style></author><author><style face="normal" font="default" size="100%">Eike Kowallik</style></author><author><style face="normal" font="default" size="100%">Stefano Raffaglio</style></author><author><style face="normal" font="default" size="100%">Andrea Sannino</style></author><author><style face="normal" font="default" size="100%">Marco Milanesio</style></author><author><style face="normal" font="default" size="100%">Edion Tego</style></author><author><style face="normal" font="default" size="100%">Francesco Matera</style></author><author><style face="normal" font="default" size="100%">Tivadar Szemethy</style></author><author><style face="normal" font="default" size="100%">Balazs Szabo</style></author><author><style face="normal" font="default" size="100%">L. Németh</style></author><author><style face="normal" font="default" size="100%">Zied Ben Houidi</style></author><author><style face="normal" font="default" size="100%">G. Dimopoulos</style></author><author><style face="normal" font="default" size="100%">Ilias Leontiadis</style></author><author><style face="normal" font="default" size="100%">Yan Grunenberger</style></author><author><style face="normal" font="default" size="100%">L. Baltrunas</style></author><author><style face="normal" font="default" size="100%">Michael Faath</style></author><author><style face="normal" font="default" size="100%">Rolf Winter</style></author><author><style face="normal" font="default" size="100%">Dimitri Papadimitriou</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Design of the Reasoner</style></title><short-title><style face="normal" font="default" size="100%">D4.2</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">design</style></keyword><keyword><style  face="normal" font="default" size="100%">private deliverable</style></keyword><keyword><style  face="normal" font="default" size="100%">reasoner</style></keyword><keyword><style  face="normal" font="default" size="100%">WP4</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%">06/2014</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">D4.2</style></number><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">report</style></work-type></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%">Pierdomenico Fiadino</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Arian Bär</style></author><author><style face="normal" font="default" size="100%">Alessandro Finamore</style></author><author><style face="normal" font="default" size="100%">Pedro Casas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the Detection of Network Traffic Anomalies in Content Delivery Network Services</style></title><secondary-title><style face="normal" font="default" size="100%">ITC26</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2014</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Karlskrona, Sweden</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></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%">Alessandro D'Alconzo</style></author><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%">Arian Bär</style></author><author><style face="normal" font="default" size="100%">Alessandro Finamore</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Who to Blame when YouTube is not Working? Detecting Anomalies in CDN Provisioned Services</style></title><secondary-title><style face="normal" font="default" size="100%">TRAC</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2014</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%">Nicosia, Cyprus</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></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%">Arian Bär</style></author><author><style face="normal" font="default" size="100%">Alessandro D'Alconzo</style></author><author><style face="normal" font="default" size="100%">Alessandro Finamore</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">YouTube All Around: Characterizing YouTube from Mobile and Fixed-line Network Vantage Points</style></title><secondary-title><style face="normal" font="default" size="100%">EuCNC</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">06/2014</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Bologna, IT</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></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>