Tutorial T2

Title: Fog Computing for Industrial IoT

Description : The tutorial presents novel architectures, hardware and software platforms, applications, and data-driven techniques for enabling fault tolerance in Industrial IoT and Fog Computing systems. It comprises theoretical and hands-on components with a focus on fault tolerance. Researchers and practitioners will hear about the challenges and opportunities of recent developments and trends. Industrial IoT refers to IoT systems used in the industrial areas to interconnect machines. It provides the infrastructure that underpins Smart Energy Grids, Smart Cities, Smart and Green Mobility, Smart Manufacturing, etc., and provides solutions for several societal challenges. Fog Computing is a system-level architecture that distributes resources and services fro computing, storage, control and networking anywhere along the continuum from Cloud to Things. It is one of the key elements of the IIoT and Industry 4.0. Fog Computing will be enabled by the increased usage of IP-protocols, e.g., standardized Deterministic Ethernet solutions from IEEE Time-Sensitive Networking (TSN)4 Task Group, upcoming 5G wireless standards, and interoperability standards such as OPC Unified Architecture (OPC UA). The resulting integrated Fog Computing platform brings computation, communication and storage closer to the edge of the network.

Organizer(s):

Alessandro V. Papadopoulos, Mälardalen University, Sweden

Wilfried Steiner, TTTech Computertechnik AG, Austria

Speakers:

Wilfried Steiner, TTTech Computertechnik AG, Austria

Karl-Erik Årzén, Lund University, Sweden

Ivona Brandic, TU Wien, Austria

Atakan Aral, TU Wien, Austria

Biographies: Alessandro V. Papadopoulos is an Associate Professor of Computer Science Systems and Control at Mälardalen University (MDH), Sweden. From 2020, he is scientific advisor of ABB Industrial Automation, Sweden. He received his Ph.D. degree in systems and control from Politecnico di Milano in 2014. His research is focused on the complex real-time and embedded systems, with a focus on automation systems, fog and cloud computing systems. In this area, he has published over 100 peer-reviewed papers. He was awarded with the Swedish Research Council (VR) Starting grant for the project “PSI: Pervasive Self-Optimizing Computing Infrastructures (VR Swedish Research Council)”.

Wilfried Steiner is Director of the TTTech Labs which acts as center for strategic research and the center for IPR management within the TTTech Group. Wilfried Steiner holds a degree of Doctor of Technical Sciences and the Venia Docendi in Computer Science, both from the Vienna University of Technology, Austria. His research is focused on dependable cyber-physical systems, in particular in the following domains: automotive, space, aerospace, as well as new energy and industrial automation. Wilfried Steiner designs algorithms and network protocols with real-time, dependability, and security attributes.

Karl-Erik Årzén received his M.Sc. in Electrical Engineering and Ph.D. in Automatic Control from Lund University in 1981 and 1987, respectively. He was appointed as Full Professor in automatic control in 2000. He has also worked for ABB Corporate Research during 1992-1994. His research interests include cyber-physical systems, real-time systems, real-time and embedded control, control of computer systems, and cloud control. He is the vice-coordinator for the Lund part of the ELLIIT strategic research area on IT and mobile communication, co-director for WASP — the Wallenberg AI, Autonomous Systems and Software Program (the single largest research grant within Engineering Sciences in Sweden ever with a total budget of 550 million EUR), and is an elected member of the Royal Swedish Academy of Engineering Sciences.

Ivona Brandic is Professor for High Performance Computing Systems at the Vienna University of Technology. In 2015 she was awarded the FWF START prize, the highest Austrian award for early career researchers. Since 2016 she is a member of the Young Academy of the Austrian Academy of Sciences. Her interests comprise virtualized HPC systems, energy efficient ultra-scale distributed systems, massive- scale data analytics. She published more than 100 scientific journal, magazine and conference publications and she co-authored a textbook on federated and self-manageable Cloud infrastructures. She has served more than 70 program committees among others Supercomputing, CCGrid, EuroPar, and IPDPS.

Atakan Aral is a Senior Postdoctoral Fellow at the Vienna University of Technology (TU Wien). He received a dual M.Sc. degree in Computer Science and Engineering from Politecnico di Milano in 2011 and Istanbul Technical University (ITU) in 2012, and a Ph.D. degree in Computer Engineering from ITU in 2016. His research interests center around resource and reliability management for geo-distributed and virtualized computing systems such as intercloud and edge computing, as well as optimization of the edge computing architecture for AI services.