UCN@Sophia Seminar Labex : Marco FIORE "Spatiotemporal Classification of the Mobile Network Demand"

Marco FIORE -
Data Science

Date: February 16th 2017
Location: Eurecom - Eurecom

Speaker: Marco Fiore Speaker's affiliation: CNR - IEIIT Date: Thu, 2017-02-16 14:00 - 15:00 Location: EURECOM, room 101 Note: WARNING: Please note that the seminar will be at 2:00PM. Refreshments/coffee will be served after the talk. The UCN@Sophia labex seminar is sponsored by the labex UCN@Sophia. Abstract: In the next few years, mobile networks will undergo significant evolutions in order to accommodate the ever-growing load induced by increasingly pervasive smartphones and connected objects. Apart from innovations in radio technologies, future-generation cellular systems will be designed for flexibility and reconfigurability. New architectural paradigms, such as cloud radio access and software-defined networking, will support a dynamic management of network resources that adapts to the spatiotemporal fluctuations of the mobile demand. This vision roots in the capability of mining large-scale traffic data collected in the network, so as to understand how resources should be established, relocated or released in an automated manner. In this talk, I will address a fundamental problem in knowledge discovery from mobile traffic data, i.e., classification. I will present hierarchical classifiers that allow extracting typical profiles of the mobile network demand, in time and space. Then, I will show how exploratory factor analysis can be used for a joint spatial and temporal classification of the mobile network demand, with advantages in terms of richess and interpretation of profiles. Evaluations with extensive real-world data bring out a limited number of time periods that show a similar stable spatial distribution of the mobile demand, and highlight categories of urban areas characterized by analogous demand evolution over time. Interestingly, the latter results have applications beyond networking and in geoinformatics, as an effective way to automatically detect land uses. Speaker's bio: Marco Fiore is a permanent researcher at the National Research Council of Italy (CNR). He received MSc degrees from University of Illinois at Chicago, IL, USA, and Politecnico di Torino, Italy, a PhD degree from Politecnico di Torino, Italy, and a Habilitation à Diriger des Recherches (HDR) from Université de Lyon, France. He held positions as Maître de Conférences (Associate Professor) at INSA Lyon, Associate Researcher at Inria, and visiting research fellow at Rice University, TX, USA and Universitat Politècnica de Catalunya, Spain. Marco Fiore is a recipient of the French national Scientific Excellence Award (2012), European Commission Marie Curie Career Reintegration Grant (2013), Royal Society International Exchange Fellowship (2016), and a Finalist at the Telecom Italia Big Data Challenge (2015). His current research interests are in the fields of mobile network data analysis and vehicular networking.

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