Model-Based Engineering of Embedded Systems

Focus:

Development of methods and tools for model-based engineering of embedded systems. Including: models for architectural and behavioral descriptions of system and requirements for systems, techniques for analyzing and transforming models, and runtime architectures for resource efficient, predictable embedded systems.



Here you find some of the achievements of MEES group and code of our implementations.

  • Hierarchical scheduling framework implementation in FreeRTOS operating system can be downloaded from this link.
  • Rafia is the author/developer of the Multi-Resource server  that provides composable hierarchical scheduling on multi-core platforms. We extend traditional server-resources by associating a memory-bandwidth to each server; thus a multi-resource server has both CPU-bandwidth and memory bandwidth allocated to it. The multi-resource servers are useful to provide partitioning, composability and predictability in both hard and soft real-time systems.
Project TitleStatus
BUMBLE - Blended Modelling for Enhanced Software and Systems Engineering active
DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices active
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking active
DPAC - Dependable Platforms for Autonomous systems and Control active
FAST-ARTS: Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems active
HERO: Heterogeneous systems - software-hardware integration active
ITS-EASY Post Graduate School for Embedded Software and Systems active
Serendipity - Secure and dependable platforms for autonomy active
SynthSoft - Synthesizing Predictable Software for Distributed Embedded Systems active
Timing Predictions of Complex Embedded Systems active
CARTCOM - Monitoring and Probabilistic Analysis of Component-Based Embedded Control Systems finished
CHESS finished
EEMDEF finished
Femmva - Functional- and execution-models in modern electronic vehicle architectures finished
HEAVE finished
MOMENTUM: analysis of models towards compilation to predictable embedded real-time and safety-critical applications finished
MultEx finished
Multi-Aspectual Data Management of Embedded Real-Time Systems finished
PPMsched - Performance Preserving Multicore Scheduling finished
RALF3 - Software for Embedded High Performance Architectures finished
Real-time Heterogeneous Systems finished
SMARTCore: Model-driven support for deployment optimization of embedded systems on multicore finished
Strategic Knowledge Enhancement: International Visiting Professor, Alfonso Pierantonio finished

[Show all publications]

A software implemented comprehensive soft error detection method for embedded systems (Sep 2020)
Seyyed Amir Asghari , Mohammadreza Binesh Marvasti , Masoud Daneshtalab
Elsevier journal of Microprocessors and Microsystems (MICPRO)

Towards Model-Based Performability Evaluation ofProduction Systems (Sep 2020)
Alessio Bucaioni, Francesco Flammini, Mats Ahlskog
Work-in-progress at IEEE International Conference on Emerging Technologies and Factory Automation (WIP@ETFA)

From AMALTHEA to RCM and Back: a Practical Architectural Mapping Scheme (Aug 2020)
Alessio Bucaioni, Matthias Becker, John Lundbäck , Harald Mackamul
46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2020)

Modelling multi-criticality vehicular software systems: evolution of an industrial component model (Jun 2020)
Alessio Bucaioni, Saad Mubeen, Federico Ciccozzi, Antonio Cicchetti, Mikael Sjödin
International Journal on Software and Systems Modeling (SoSyM'20)

Enabling radiation tolerant heterogeneous GPU-based onboard data processing in space (Jun 2020)
Fredrik Bruhn, Nandinbaatar Tsog, Fabian Kunkel, Oskar Flordal, Ian Troxel
CEAS Space Journal (CEAS20)

NOM: Network-On-Memory for Inter-Bank Data Transfer in Highly-Banked Memories (May 2020)
Seyyed Hossein Seyyedaghaei Rezaei , Mehdi Modarressi, Rachata Ausavarungnirun , Mohammad Sadrosadati , Onur Mutlu , Masoud Daneshtalab
IEEE Computer Architecture Letters (CAL)

Mikael Sjödin, Professor,Research Leader

Email: mikael.sjodin@mdh.se
Room: U3-072
Phone: +46 70 288 2829