FORA is a European Training Network (ETN), which will fund and train 15 PhD candidates in the area of Fog Computing, during the period 2017-2021. Fog Computing, also sometimes called Edge Computing, brings the Cloud “closer to the ground”, to the edge of the network. FORA is an interdisciplinary, international, intersectoral network that will train the next generation of researchers in Fog Computing with applicability to industrial automation and manufacturing.
Deep Neural Network for Indoor Positioning Based on Channel Impulse Response (Sep 2022) Van-Lan Dao, Shaik Salman International Conference on Emerging Technologies and Factory (ETFA'2022)
Verifying the timing of a persistent storage for stateful fog applications (Jun 2022) Zeinab Bakhshi , Guillermo Rodriguez-Navas, Hans Hansson
Multi-Processor Scheduling of Elastic Applications in Compositional Real-Time Systems (Dec 2021) Shaik Salman, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte Journal of Systems Architecture, 2021 (JSA)
Improving Soft Real-Time Performance of Fog Computing (Sep 2021) Václav Struhár
Persistent Fault-tolerant Storage at the Fog Layer (Sep 2021) Zeinab Bakhshi Valojerdi
Scheduling Elastic Applications in Compositional Real-Time Systems (Sep 2021) Shaik Salman, Alessandro Papadopoulos, Filip Markovic, Saad Mubeen, Thomas Nolte 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
Partner | Type |
---|---|
Technical University of Denmark | Academic |
Technische Universität Wien | Academic |
Technischen Universität Kaiserslautern | Academic |
ABB AB | Industrial |
SYSGO | Industrial |
TTTech Computertechnik AG | Industrial |
Unibap AB | Industrial |