<?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%">Fiadino, Pierdomenico</style></author><author><style face="normal" font="default" size="100%">Casas, Pedro</style></author><author><style face="normal" font="default" size="100%">Schiavone, Mirko</style></author><author><style face="normal" font="default" size="100%">D'Alconzo, Alessandro</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Online Social Networks anatomy: On the analysis of Facebook and WhatsApp in cellular networks</style></title><secondary-title><style face="normal" font="default" size="100%">IFIP Networking Conference (IFIP Networking), 2015</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%">Europe</style></keyword><keyword><style  face="normal" font="default" size="100%">Facebook</style></keyword><keyword><style  face="normal" font="default" size="100%">Internet</style></keyword><keyword><style  face="normal" font="default" size="100%">IP networks</style></keyword><keyword><style  face="normal" font="default" size="100%">Network Measurements</style></keyword><keyword><style  face="normal" font="default" size="100%">Online Social Networks</style></keyword><keyword><style  face="normal" font="default" size="100%">Organizations</style></keyword><keyword><style  face="normal" font="default" size="100%">Servers</style></keyword><keyword><style  face="normal" font="default" size="100%">WhatsApp</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May</style></date></pub-dates></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%">Alessandro Finamore</style></author><author><style face="normal" font="default" size="100%">Vinicius Gehlen</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author><author><style face="normal" font="default" size="100%">Maurizio M Munafo'</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The need for an intelligent measurement plane: The example of time-variant CDN policies</style></title><secondary-title><style face="normal" font="default" size="100%">Telecommunications Network Strategy and Planning Symposium (NETWORKS), 2012 XVth International </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Facebook</style></keyword><keyword><style  face="normal" font="default" size="100%">Google</style></keyword><keyword><style  face="normal" font="default" size="100%">Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Organizations</style></keyword><keyword><style  face="normal" font="default" size="100%">Servers</style></keyword><keyword><style  face="normal" font="default" size="100%">Streaming media</style></keyword><keyword><style  face="normal" font="default" size="100%">Throughput</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2012</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">1 - 6 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper we characterize how web-based services are delivered by large organizations in today's Internet. Taking advantage oftwo week-long data sets separated in time by 10 months and reporting the web activity of more than 10,000 ADSL residential customers, we identify the services offered by large organizations like Google, Akamai and Amazon. We then compare theevolution of both policies used to serve requests, and the infrastructure they use to match the users' demand. Results depict anovercrowded scenario in constant evolution. Big-players are more and more responsible for the majority of the volume and a plethora of other organizations offering similar or more specific services through different CDNs and traffic policies. Unfortunately, no standard tools and methodologies are available to capture and expose the hidden properties of this in constant evolution picture. A deeper understanding of such dynamics is however fundamental to improve the performance of current and future Internet. To this extend, we claim the need for a Internet-wide, standard, flexible and intelligent measurement plane to be added tothe current Internet infrastructure.</style></abstract></record></records></xml>