FORA: Fog Computing for Robotics and Industrial Automation
FORA was a European Training Network (ETN), which funded and trained 15 PhD candidates in the area of Fog Computing, during the period 2017-2021. FORA was an interdisciplinary, international, intersectoral network that trained the next generation of researchers in Fog Computing with applicability to industrial automation and manufacturing.
The funding came from European Union’s Marie Skłodowska-Curie Actions (MSCA) European Training Networks (ETN) instrument part of the Horizon 2020 research program. The consortium was formed of 4 universities and 3 companies from Sweden, Denmark, Austria and Germany, and had associated partners also in Silicon Valley, USA.
The training of future researchers was achieved via a research program focusing on: a reference system architecture for Fog Computing; resource management mechanisms and middleware for deploying mixed-criticality applications in the Fog; safety and security assurance; service-oriented application modeling and real-time machine learning.
My research focused on resource management mechanisms for deploying mixed-criticality applications in Fog computing environments. In this research, various methods were developed for scheduling and resource allocation in Fog nodes for mixed-criticality systems, with a particular focus on guaranteeing performance requirements for safety-critical applications such as control systems. This research resulted in a Ph.D. thesis and more than 16 peer-reviewed publications.
