ITC 30 Networking Science Vision Day: Networking Science - Where Are We Heading To?
Wednesday, 5 September 2018
As one of the highlights of ITC 30, the “ITC 30 Networking Science Vision Day” will be organized on Wednesday, September 5, 2018, presenting several top experts from the networking community who will present their views and visions on the future smart world and the role of networking research in it. The ITC 30 Vision Day brings together scientists and practitioners from academia and industry to discuss recent developments as well as technological and theoretical visions in Networking Science.
The following top experts are confirmed (in alphabetical order).
- Philippe Jacquet (Nokia Bell Labs)
- Helmut Leopold (Head of Center for Digital Safety & Security, former acting CTO of Telekom Austria)
- Alexandre Proutière (KTH Stockholm)
- Mikaël Touati (Research Engineer in Economic Modelling, Orange)
- Piet Van Mieghem (TU Delft)
Participation at the ITC 30 Vision Day is included in the full conference registration. There is also the possibility to register only for the ITC 30 Vision Day at a special rate.
Abstract: The topic of this talk is about the use of wireless networks in cities. Despite being the place where most human population lives and interacts, the cities are among the worst environments for radio communication, due to the accumulation of large obstacles made of steel and concrete, sometimes in self similar pattern which plays their perfect role of wave traps. Cities can host several kinds of wireless networks, spanning from cellular, ad hoc V2V and V2I, to wearable IoT. A considerable literature has been produced so far to model, simulate and experiment pieces of wireless networks in various urban context. A little less abundant literature has been devoted to the theories of wireless network at the scale of a full city. This talk will make a review of some of them.
Bio: Philippe Jacquet is department head in Nokia Bell Labs since 2012. Before he has been research director in Inria, a government funded research institute in France. His main topics are algorithms, information theory, complex and dynamic networks, wireless communication protocols, stochastic geometry. Philippe Jacquet is the initial and among the major contributors to the Optimized Link State Routing protocol for Mobile Ad Hoc Networks. He has also introduced the concept of fractal Poisson shot process in stochastic geometry in order to depart wireless networks models based on uniform distribution.
Abstract: In this talk, we survey recent advances in the use of online learning methods, including reinforcement learning and clustering, towards smarter sequential decision strategies in communication networks. In particular, we explain how reinforcement learning may help the design of optimal (and sometimes distributed) radio access protocols in wireless networks. There, learning techniques allow us to track optimal decisions when the radio environment as perceived by a given transmitter evolves due to fading and interference created by other transmitters. We further explore the use of clustering to predict user-level traffic patterns which in turn make it possible to enhance resource allocation schemes and improve the users' quality of experience.
Bio: Alexandre Proutiere received the Master degree in mathematics from Ecole Normale Superieure, Paris, France; the Master degree in engineering from Telecom Paris Tech; and the Ph.D. degree in applied mathematics from Ecole Polytechnique, Palaiseau, France. In 2000, he joined France Telecom R&D as a Research Engineer. From 2007 to 2011, he was a permanent researcher at Microsoft Research, Cambridge, U.K. He is currently Professor in the Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden. Alexandre Proutiere received the ACM Sigmetrics Rising Star Award in 2009, and the Best Paper Awards at ACM Sigmetrics Conference in 2004 and 2010 and at the ACM Mobihoc Conference in 2009. He is an associate editor of IEEE trans. on Information Theory, and was on the editorial board of IEEE/ACM trans. on Networking and IEEE trans. on control of networked systems. He was a recipient of an ERC consolidator grant.
Abstract: In the past few years, one has observed a strong convergence of network sciences and economics thanks to the growth of IT and network technologies as platforms and marketplaces. Oncoming technologies as 5G are expected to reinforce the trend and improving efficiency of resource allocation mechanisms in multi-agent systems is still one of the main challenge. In this talk, we show resource allocation mechanisms from a game-theoretic perspective and attempt to bridge the gap between the economics and networks in this direction. We particularly focus on mechanisms used to match, allocate or trade resources in markets and survey mechanisms with and without money, their use-cases, properties or solution concepts. Finally, we will conclude on some lessons from market design.
Bio: Mikaël Touati is a research engineer in economics & competition modelling at Orange Labs. After receiving a master’s degree in physics from University Pierre and Marie Curie, he obtained an engineering degree and a MSc (SEE André Blanc Lapierre awards) in telecommunications from Ecole CentraleSupélec in 2013. He received a PhD in computer science entitled Cooperative Games and Stable Matchings in Networks from Telecom ParisTech. This work proposed new algorithms addressing network allocation problems (as the WiFi anomaly or task allocation in crowdsourcing systems) using cooperative games, especially bargaining and game-theoretic stable matchings. His current research focuses on games on graphs, two-sided market mechanisms and market design. The research team he takes part in aims at developing new methods and tools for decision-taking processes using mathematics, computer science and economics.
Abstract: Our aim is to briefly overview the main concepts of Network Science. Network Science is a relatively new field and its main objective is to understand the relation between the process (or function) over the network and the graph structure (or topology) of the network itself. This duality distinguishes Network Science from graph theory and from dynamic processes and system's theory.
First, we present, from the perspective of telecommunications, our personal view on the history of Network Science and its fascinations. Then, we talk about a particularly simple process that allows some mathematical analysis: epidemic spread on networks, a way of diffusing information in a network.
Bio: Piet Van Mieghem is professor at the Delft University of Technology with a chair in telecommunication networks and chairman of the section Network Architectures and Services (NAS) since 1998. His main research interests lie in the modelling and analysis of complex networks (such as infrastructural, biological, brain, social networks) and in new Internet-like architectures and algorithms for future communications networks. He is the author of four books: Performance Analysis of Communications Networks and Systems, Data Communications Networking, Graph Spectra for Complex Networks and Performance Analysis of Complex Networks and Systems. Currently, he serves on the editorial board of the OUP Journal of Complex Networks.
Professor Van Mieghem received a Master and Ph. D. degree in Electrical Engineering from the K.U.Leuven (Belgium) in 1987 and 1991, respectively. Before joining Delft, he worked at the Interuniversity Micro Electronic Center (IMEC) from 1987 to 1991. During 1993 to 1998, he was a member of the Alcatel Corporate Research Center in Antwerp where he was engaged in performance analysis of ATM systems and in network architectural concepts of both ATM networks (PNNI) and the Internet. He was a visiting scientist at MIT (department of Electrical Engineering, 1992-1993) and a visiting professor at UCLA (department of Electrical Engineering, 2005), at Cornell University (Center of Applied Mathematics, 2009) and at Stanford University (department of Electrical Engineering, 2015). He was member of the editorial board of Computer Networks (2005-2006), the IEEE/ACM Transactions on Networking (2008-2012), the Journal of Discrete Mathematics (2012-2014) and Computer Communications (2012-2015).