@inproceedings {Fia,
	title = {Characterizing Web Services Provisioning via CDNs: The Case of Facebook},
	booktitle = {5th International Workshop on TRaffic Analysis and Characterization},
	year = {2014},
	month = {08/2014},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Nicosia, Cyprus},
	abstract = {<p>Today{\textquoteright}s Internet consists of massive scale web\&nbsp;services and Content Delivery Networks (CDNs). This paper sheds\&nbsp;light on the way major Internet-scale web services content is\&nbsp;hosted and delivered. By analyzing a full month of HTTP traffic\&nbsp;traces collected at the mobile network of a major European ISP,\&nbsp;we characterize the paradigmatic case of Facebook, considering\&nbsp;not only the traffic flows but also the main organizations and\&nbsp;CDNs providing them. Our study serves the main purpose of\&nbsp;better understanding how major web services are provisioned\&nbsp;in today{\textquoteright}s Internet, paying special attention to the temporal\&nbsp;dynamics of the service delivery and the interplays between the\&nbsp;involved hosting organizations. To the best of our knowledge, this\&nbsp;is the first paper providing such an analysis in mobile networks.</p>},
	keywords = {Akamai, Content Delivery Networks, Facebook, HTTP Traffic, mobile networks},
	author = {Pierdomenico Fiadino and Alessandro D{\textquoteright}Alconzo and Pedro Casas}
}
@inproceedings {Fiaa,
	title = {Vivisecting WhatsApp through Large-Scale Measurements in Mobile Networks},
	booktitle = {SIGCOMM 2014},
	year = {2014},
	month = {08/2014},
	publisher = {ACM},
	organization = {ACM},
	address = {Chicago, USA},
	abstract = {<p>WhatsApp, the new giant in instant multimedia messaging in mobile networks is rapidly increasing its popularity, taking over the traditional SMS/MMS messaging. In this paper we present the first large-scale characterization of WhatsApp, useful among others to ISPs willing to understand the impacts of this and similar applications on their networks. Through the combined analysis of passive measurements at the core of a national mobile network, worldwide geo-distributed active measurements, and traffic analysis at end devices, we show that: (i) the WhatsApp hosting architecture is highly centralized and exclusively located in the US; (ii) video sharing covers almost 40\% of the total WhatsApp traffic volume; (iii) flow characteristics depend on the OS of the end device; (iv) despite the big latencies to US servers, download throughputs are as high as 1.5 Mbps; (v) users react immediately and negatively to service outages through social networks feedbacks.</p>},
	keywords = {Large-Scale Measurements, mobile networks, WhatsApp},
	author = {Pierdomenico Fiadino and Mirko Schiavone and Pedro Casas}
}
