Technical Program

 

Keynotes

Data-driven network resilience

Fernando A. Kuipers
Professor at Delft University of Technology (TU Delft)

Abstract: 5Communication networks are crucial during disasters, but communication networks are also vulnerable to disasters. While disasters have high impact, they typically do not occur often, which is why many networks are not designed with disaster-resilience in mind. Unfortunately, when disasters strike, standard network resilience mechanisms prove inadequate and large-scale outages manifest. Large-scale network outages also stem from human errors introduced while configuring and programming networks. In this talk, I will discuss both types of large-scale failures and present the gist of some of the tools and techniques that we have devised to mitigate their impact.

Fernando A. Kuipers is a Full Professor at Delft University of Technology (TU Delft), where he established and leads the Networked Systems group. He was a Visiting Scholar at Technion, Israel Institute of Technology, in 2009, and Columbia University, New York City, in 2016. His research revolves around understanding and improving the performance and reliability of Internet and communications infrastructures. He obtained his Ph.D. degree cum laude, the highest possible distinction at TU Delft, and received several best paper awards and nominations for his work, including from IEEE INFOCOM, IFIP Networking, ITC, NetGames, and EuroGP. He has served as General Chair and TPC Chair for flagship conferences such as ACM SIGCOMM (2021 and 2022) and IEEE INFOCOM (2024) and is Vice Chair of the ACM SIGCOMM Executive Committee. Furthermore, he co-founded the Do IoT fieldlab and the PowerWeb Institute and served on the board of the TU Delft Safety & Security Institute. Currently, he is co-PI of the Dutch 6G flagship project Future Network Services, where he leads the program line Intelligent Networks.

Approximate Intermittent Computing

Luca Mottola
Full Professor at Politecnico di Milano (Italy) and Senior Researcher at RI.SE Sweden

Abstract: Ambient energy harvesting is redefining embedded sensing. Principles, theories, abstractions, and systems are being revisited in face of unpredictable energy provisioning and environment dynamics. Designs are brought to an extreme with the intermittent computing paradigm, which defies established computing patterns. Much fewer successful deployment experiences, however, exist. In this talk, we argue that a further step is necessary that looks at systems as a whole. To address this challenge, we conceive the notion of approximate intermittent computing, where the nature of data pipelines becomes opportunity to reap further energy gains, eventually sparing most if not all of the overhead required to tame energy fluctuations from the environment. We illustrate two key techniques of approximate intermittent computing, how they can be concretely realised, and the benefits they provide.

Luca Mottola is a Full Professor at Politecnico di Milano (Italy) and a Senior Researcher at RI.SE Sweden. His lab develops intelligent technologies at the frontier of the Internet of Things, including embedded AI, battery-less sensing, Internet-connected robotics, and nanosatellites. These technologies have been downloaded 10,000+ times, are used by a dozen companies to create new products, and are currently running in hundreds of embedded devices worldwide. To date, he is the only European researcher to be granted multiple times with the ACM SigMobile Research Highlight and win Best Paper Awards at multiple flagship conferences of ACM SigMobile and ACM SigBed. He received the ACM SENSYS Test of Time Award in 2022 and is a Google Faculty Award winner. He is the past General Chair for ACM/IEEE CPS-IoT Week 2022, past PC Chair for ACM MOBISYS, ACM SENSYS (youngest to date), ACM/IEEE IPSN (youngest to date), and ACM EWSN, as well as an associate editor of IEEE Transactions on Networking and ACM Transactions on Sensor Networks. He holds or held visiting positions at Uppsala University, NXP Technologies, University of Southern California, University of Illinois at Chicago, TU Graz, and USI Lugano.