Electrical and Computer Engineering
Complex Real-Time Embedded Systems
We focus on execution and analysis of real-time systems, with a particular focus on multiprocessor scheduling techniques, synchronization protocols, predictable execution of real-time systems, compositional theory and technology, and similar topics related to predictability of real-time systems.
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We also work with communication protocols and architectures based on Switched Ethernet. The most recent research direction is cloud and industrial Internet of Things (IoT). In summary: timing, execution, analysis and modeling of complex embedded real-time systems.
We conduct research in the following areas
- Multiprocessor scheduling and synchronization
- Predictable execution of real-time systems
- Source code analysis for industrial embedded software
- Simulation-based analysis of complex embedded systems
- Stochastic and statistical analysis of real-time systems
- Real-time communications
- Adaptive and reconfigurable real-time systems
- Compositional execution and analysis of real-time systems
- Cloud and the Industrial Internet of Things
Ongoing research projects
This initiative will conduct key research needed to enable ubiquitous access to cloud services in real-time, making this technology available also to operations in industrial systems.
Project manager at MDU: Thomas Nolte
Detta projekt syftar till att tillhandahålla en samling programvarukomponenter som dynamiskt kan optimera IIoT-infrastrukturen. PSI riktar sig till en förbättrad resursanvändning av systemet genom kontinuerliga och distribuerade systemomfattande optimeringar.
Project manager at MDU: Alessandro Papadopoulos
Main financing: Vetenskapsrådet (VR)