Michela Meo
Michela Meo is a professor at Politecnico di Torino in Telecommunication Engineering. She received the Laurea degree in Electronic Engineering in 1993, and the Ph.D. degree in Electronic and Telecommunications Engineering in 1997, both from the Politecnico di Torino, Italy. Her research interests include green networking, energy-efficient mobile networks and data centers, Internet traffic classification and characterization. She co-authored about 200 papers, 80 of which on international journals. She edited a book with Wiley on Green Communications and several special issues of international journals, including ACM Monet, Performance Evaluation, and Elsevier Computer Networks. She chairs the International Advisory Council of the International Teletraffic Conference and was chair of the Steering Committee of IEEE Online GreenComm. She was associate editor of ACM/IEEE Transactions of Networking and Green Series of the IEEE Journal on Selected Areas of Communications, and she is area editor of IEEE Transactions on Green Communications and Networking and associate editor of IEEE Communication Surveys and Tutorials. In the role of general or technical chair, she has lead the organization of several conferences, including ITC, Infocom Miniconference, ICC simposia, ISCC. She was Deputy Rector of Politecnico di Torino from March 2017 to March 2018.
Renewable energy for the sustainability of mobile networks
The introduction of renewable energy sources (RES) as power supply for wireless cellular networks is becoming the more and more attractive. Indeed, on the one side, network sustainability is a critical and urgent issue due to the expected growth of the amount of traffic and the variety of communication services. On the other side, RES make it easier, and cheaper, to bring cellular communications to areas of the world where the power grid is not reliable, or in emergency situations.
While there are several reasons for adopting RES as power supply of communication systems, the typical intermittent nature of these sources, the variability of the amount of generated energy and the difficulty of its prediction, raise some critical challenges. Energy and communication resources have to be jointly considered and specific strategies are needed for their management.
As a case study, we investigate the effectiveness of sleep modes combined with machine learning approaches for traffic forecast. The considered solution provides a versatile framework for the implementation of the desired trade-off between energy consumption and QoS and it naturally adapts the network operation to the traffic characteristics typical of each area.
David Ilcinkas
David Ilcinkas est chargé de recherche CNRS au LaBRI. Diplômé de l’école d’ingénieurs Supélec en 2003, il a obtenu son doctorat de l’Université Paris-Sud en 2006 au LRI. Après un an de post-doctorat au Canada (Gatineau et Ottawa), il a été recruté au CNRS en 2007 au LaBRI. Il a reçu l’Habilitation à Diriger des Recherches en 2019 de l’Université de Bordeaux. Sa recherche porte principalement sur l’algorithmique répartie dans les réseaux, avec un intérêt particulier pour le calcul par entités mobiles et pour l’étude de l’impact des connaissances initiales des entités de calcul.
Vérification et certification en algorithmique répartie
Les algorithmes répartis sont souvent difficiles à concevoir, et encore plus à prouver corrects. Ceci est entre autres dû à la présence de plusieurs entités de calcul, et au grand nombre d’exécutions possibles généré par l’asynchronie. Il est donc particulièrement délicat d’avoir pleinement confiance en tous les résultats en algorithmique répartie. Une approche plus rigoureuse utilisant des outils issus des méthodes formelles est aujourd’hui nécessaire pour consolider les nombreuses avancées du domaine. L’exposé portera sur cette thématique en plein essor.