Title: From Grid to Cloud - From Edge to ??

Abstract: Grid Computing envisoned easing the use of heterogeneous, distributed resources by providing a ubiquitous, simple abstraction analog to a power outlet. Although there has been substantial research, success was limited. This changed with the advent of cloud computing. Virtualization as abstraction works well for users as well as in the operation of data centers.  Looking at the current situation in Edge computing, this hints a similar development.  After more a decade of research, platforms and algorithms have been researched but major deployments are still not visible. In this talk I want to present two  fundamental application models, rehearse approaches and propose yet another possible architecture for Edge Computing.

Bio: Christian Becker is a full professor for Computer Science at the University of Stuttgart since April 2022. Prior to that he was a full professor for Information Systems at the University of Mannheim from 2006 till 2022. Christian studied Computer Science at the Universities of Karlsruhe and Kaiserslautern where he graduated in 1996. He received his PhD from the University of Frankfurt in 2001. In 2001 he joined the distributed systems group at the University of Stuttgart as PostDoc. In 2004 he received the venia legendi (Habilitation) for Computer Science (Informatik). Christian's research interests are Distributed Systems and Context-Aware Computing. He is specifically interested in architectures for adaptive systems and their application to distributed systems. Christian has published more than 200 technical papers. He is a member of the IEEE Pervasive Computing and Communication Conference (PerCom) steering committee. Christian is active in the community, e.g., he was general chair of IEEE PerCom in 2010, TPC chair in 2016. He was/is general chair of IEEE Mobile Data Management in 2007 and 2023 and contributed to many other scientific venues.

Title: Is the Software Defined Vehicle an Edge or Does it Need an Edge or Both?

Abstract: Everyone is talking about the Software Defined Vehicle (SDV), but there is no common definition of what a SDV is. At Nissan’s research center in Silicon Valley we are researching the SDV by researching the different use cases for the future of cars. In this talk I will discuss some of these use cases, from autonomous vehicles (AV) to vehicle to grid (V2G) and future smart city applications. I will touch upon questions around the connectivity that’s needed and the distribution of computation between vehicle, edge and cloud, as well as the question "Where should the intelligence (AI) reside?".

Bio: Dr. Maarten Sierhuis is VP/Alliance Global Director of the Alliance Innovation Lab in Silicon Valley. In this role he leads the Silicon Valley lab's research & advanced engineering functions. Previously, as Chief Technology Director, Sierhuis led a team of researchers tasked with developing Artificial Intelligence (AI) technologies for autonomous vehicles, connected vehicles and Human-Machine Interaction and Interfaces (HMI²) to help shape the future of intelligent cars capable of driving themselves. Prior to Nissan, Sierhuis spent 12 years at NASA where he created a computer language that was used to develop an intelligent system for all communication between Mission Control and the International Space Station. He also developed an autonomous system to monitor and give advice to astronauts during spacewalks. Sierhuis joined Nissan in 2013. In a career in research and software engineering spanning 25 years, Sierhuis has also worked at Xerox Palo Alto Research Center, NYNEX Science & Technology, IBM Corporation, and as a founder of startup Ejenta, as well as a visiting professor and fellow with the Interactive Intelligence group Delft University of Technology in Netherlands. Sierhuis earned a bachelor degree in Computer Science from The Hague University and a Ph.D. in Artificial Intelligence/Cognitive Science from the University of Amsterdam, Netherlands. He is based in Sunnyvale, California.