Bjarne Johansson is a Senior Software Developer at ABB IA/CT. He has been working with development of redundant real-time embedded real-time systems for 12 years. Both as a consultant and at different business units within ABB. He joined ABB 2016 and the first project was to develop a redundant communication interface for AC800 M, with placement in Bangalore, India.
Bjarne has an M.Sc. in Computer engineering from MDH. His main research interest include:
This PhD project targets research concerning highly available embedded real-time control systems. High availability is crucial in today's control system, achieved with high-quality hardware and software topped with redundancy.
Tomorrow's control systems are more distributed than today's distributed control systems (DCS), bringing challenges when it comes to determinism, communication, and availability. This research aims to find suitable performance and diagnostic measurements to be able to make proper role selection and application deployment choices. This work is carried out in collaboration among ABB IA/PCP and MDH.
Kubernetes Orchestration of High Availability Distributed Control Systems (Aug 2022) Bjarne Johansson, Mats Rågberger , Thomas Nolte, Alessandro Papadopoulos 23rd IEEE International Conference on Industrial Technology (ICIT 2022)
Heartbeat Bully: Failure Detection and Redundancy Role Selection for Network-Centric Controller (Oct 2020) Bjarne Johansson, Mats Rågberger , Alessandro Papadopoulos, Thomas Nolte 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020)
Concurrency defect localization in embedded systems using static code analysis: an evaluation (Oct 2019) Bjarne Johansson, Alessandro Papadopoulos, Thomas Nolte The 30th International Symposium on Software Reliability Engineering (ISSRE 2019)
Classification of PROFINET I/O Configurations utilizing Neural Networks (Sep 2019) Bjarne Johansson, Björn Leander, Aida Causevic, Alessandro Papadopoulos, Thomas Nolte The 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA2019)