Abstract: Networking technologies have been fast evolving over the past two decades leading to a broad range of technologies (numerous PHY/MACs, routing, QoS, high availability, security, ....) while requiring increasingly stringent requirements (from best effort to deterministic). Advanced analytics with Machine Learning is already playing a key role in today’s networks, a trend that will undoubtedly increase very quickly in the coming years. That being said, the gap between what is being claimed in research papers and implementable at scale in commercial products keeps increasing, at the risk of disillusions in a near future. This talk will take a pragmatic approach sharing almost decade of experience implementing ML/AI product for networking, beyond “Proof of Concepts”. Several breakthrough networking ML/AI applications (IoT, Wireless/Wired networks) will be discussed, providing fascinating results. The last part will be dedicated to the main challenges implementing ML/AI.
Biography: JP Vasseur, PhD is a Cisco Fellow and lead of an engineering team developing products where he has been working on a number of networking
technologies such as IP/MPLS, Quality of Service, Traffic Engineering, network recovery, PCE,
“Internet of Things” (as the Chief Architect), Security, Wireless Networks since he joined Cisco
in 1998. From 1992 to 1998, he worked for Service Providers in large multi-protocol
environments, with a key focus on bringing cutting-edge innovation in shipping products.
JP has been an active member of the Internet Engineering Task Force (co-author of more than 35 IETF RFCs, funders and co-chair of several Working Groups such as the PCE and ROLL WG), and in several SDOs.
Since 2010, JP has been leading world class engineering teams of advanced networking and Analytics/Machine Learning (Self Learning Networks, Cloud-based Machine Learning) with key applications such as Security, network cognitive and predictive analytics for Enterprise Networks (wireless, LAN, WAN). JP is a regular speaker at various international conferences, he is involved in various research projects and the member of a number of Technical Program Committees. JP Vasseur is also Associate Professor at Telecom Paris.
He is the (co)inventor of more than 500 patents in the area of IP/MPLS, Security, The Internet of Things and Machines Learning / Analytics (#1 inventor at Cisco), with large impact in Internet Technologies.
He is the coauthor of “Network Recovery” (Morgan Kaufmann, July 2004), “Definitive MPLS Network Designs” (Cisco Press, March 2005) and "Interconnecting Smart Object with IP: The Next Internet (Morgan Kaufmann, July 2010 - http://www.thenextinternet.org/).
JP received a PhD in Networking (Mines-Telecom Paris – France, a Master of Science in Computer Science (Steven - USA) and an engineering degree in computer Science (France).
Abstract: This talk discusses the underlying and foundational science of IoT and gives the audience a general understanding of what IoT is. In this work, five core primitives belonging to most distributed systems are presented. These primitives form the basic building blocks for a Network of ‘Things’ (NoT) [NIST SP 800-183], including the Internet of Things (IoT). System primitives allow formalisms, reasoning, simulations, and reliability and security risk-tradeoffs to be formulated and argued. These primitives apply well to systems with large amounts of data, scalability concerns, heterogeneity concerns, temporal concerns, and elements of unknown pedigree with possible nefarious intent. The talk ends by suggesting 19 trust concerns that are in [NISTIR 8222] , that involve everything from 3 rd party certification of 3 rd party black-box services and products, to defective ‘things’, and to deliberate intentions to slow the flow of data in a IoT-based system.
Biography: Jeffrey Voas is an innovator. He is currently a computer scientist at the US National Institute of Standards and Technology (NIST). Before joining NIST, Voas was an entrepreneur and co-founded Cigital that is now part of Synopsys (Nasdaq: SNPS). He has served as the IEEE Reliability Society President (2003-2005, 2009-2010, 2017-2018), and served as an IEEE Director (2011-2012). Voas co-authored two John Wiley books (Software Assessment: Reliability, Safety, and Testability  and Software Fault Injection: Inoculating Software Against Errors .
Voas received his undergraduate degree in computer engineering from Tulane University (1985), and received his M.S. and Ph.D. in computer science from the College of William and Mary (1986, 1990 respectively). Voas is a Fellow of the IEEE, member of Eta Kappa Nu, Fellow of the Institution of Engineering and Technology (IET), Fellow of the American Association for the Advancement of Science (AAAS), and member of the Washington Academy of Sciences (WAS).
Abstract: to be annouced
Biography: Dr. Adam T. Drobot is a technologist with management expertise and more than 40 years of experience with business, government, and academia. Today his activities include strate-gic consulting, start-ups, and participation in industry associations and government advisory bodies. Previously he was the President of the Applied Research and Government Business Units at Telcordia Technologies, and the company’s CTO from 2002 to 2010. Prior to that, Adam managed the Advanced Technology Group at Science Applications International Corporation (SAIC).
He also served as Senior Vice President for Science and Technology as part of his 27 years of service at SAIC from 1975 to 2002. He has published more than 100 journal articles, and is a frequent contributor to industry literature. He currently holds 21 patents. Adam is the 2007 recipient of IEEE’s Managerial Excellence Award. He holds a B.S. in Engineering Physics from Cornell University and a Ph.D. in Plasma Physics from the Uni- versity of Texas. He is currently a member of several corporate boards and the FCC Technology Advisory Council, and he chairs the TIA’s Board Technology Committee.