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
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
Serendipity - Secure and dependable platforms for autonomy active
CARTCOM - Monitoring and Probabilistic Analysis of Component-Based Embedded Control Systems finished
CHESS finished
DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices finished
EEMDEF finished
Femmva - Functional- and execution-models in modern electronic vehicle architectures finished
HEAVE finished
ITS-EASY Post Graduate School for Embedded Software and Systems 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
SynthSoft - Synthesizing Predictable Software for Distributed Embedded Systems finished
Timing Predictions of Complex Embedded Systems finished

[Show all publications]

Automatic Quality of Service Control in Multi-core Systems using Cache Partitioning (Oct 2021)
Jakob Danielsson, Tiberiu Seceleanu, Marcus Jägemar, Moris Behnam, Mikael Sjödin
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Offloading Accelerator-intensive Workloads in CPU-GPU Heterogeneous Processors (Sep 2021)
Nandinbaatar Tsog, Saad Mubeen, Fredrik Bruhn, Moris Behnam, Mikael Sjödin
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Automatic Platform-Independent Monitoring and Ranking of Hardware Resource Utilization (Sep 2021)
Shamoona Imtiaz, Jakob Danielsson, Moris Behnam, Gabriele Capannini, Jan Carlson, Marcus Jägemar
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

A Trade-Off between Computing Power and Energy Consumption of On-Board Data Processing in GPU Accelerated In-Orbit Space Systems (Sep 2021)
Nandinbaatar Tsog, Saad Mubeen, Mikael Sjödin, Fredrik Bruhn
Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan (ATJ19)

LLM-shark -- A Tool for Automatic Resource-boundness Analysis and Cache Partitioning Setup (Sep 2021)
Jakob Danielsson, Tiberiu Seceleanu, Marcus Jägemar, Moris Behnam, Mikael Sjödin
Intelligent and Resilient Computing for a Collaborative World (COMPSAC 2021)

Modelling Application Cache Behavior using Regression Models (Sep 2021)
Jakob Danielsson, Janne Suuronen , Tiberiu Seceleanu, Marcus Jägemar, Moris Behnam, Mikael Sjödin
The 11th IEEE International Workshop on Industrial Experience in Embedded Systems Design (IEESD 2021) (IEESD 2021)

Mikael Sjödin, Professor,Research Leader

Email: mikael.sjodin@mdh.se
Room: U1-195
Phone: +46 70 288 2829