Complex Real-Time Embedded Systems

Focus:

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. 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
Project TitleStatus
ARRAY - Automation Region Research Academy active
Cloud and the Industrial Internet of Things Initiative active
Collaborative Cloud Robotics active
DPAC - Dependable Platforms for Autonomous systems and Control active
Future factories in the Cloud active
MRTV - Mälardalen Real-Time Virtualizer active
PARIS - Practical Probabilistic Timing Analysis of Real-Time Systems active
PREMISE - Predictable Multicore Systems active
PRESS - Predictable Embedded Software Systems active
RV-REDS - Resource Virtualization for Real-Time Embedded Distributed Systems active
SeCRA - Security Case Run-Time Adaptation active
ARROWS - Design Techniques for Adaptive Embedded Systems finished
AUTOSAR for Multi-Core in Automotive and Automation Industries finished
HISCORE - Hierarchical Scheduling of Complex Real-Time Embedded Systems finished
PPMsched - Performance Preserving Multicore Scheduling finished
PreView: Developing Predictable Vehicle Software on Multi-core finished
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks finished
SMARTCore: Model-driven support for deployment optimization of embedded systems on multicore finished
Sprint 10 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 11 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 12 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 13 Project: SLA-IoT - Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
START - Stochastic Real-Time Analysis of Embedded Software Systems finished
SYNOPSIS - Safety Analysis for Predictable Software Intensive Systems finished

[Show all publications]

Elasticity (Jan 2019)
Vincenzo Gulisano , Marina Papatriantafilou , Alessandro Papadopoulos
Encyclopedia of Big Data Technologies (EncyclopediaBDT)

Switched control for quantized feedback systems: invariance and limit cycles analysis (Dec 2018)
Alessandro Papadopoulos, Federico Terraneo , Alberto Leva , Maria Prandini
IEEE Transactions on Automatic Control (TAC)

Timing Analysis Driven Design-Space Exploration of Cause-Effect Chains in Automotive Systems (Oct 2018)
Matthias Becker, Saad Mubeen
44th Annual Conference of the IEEE Industrial Electronics Society (IECON'18)

Service Level Agreements for Safe and Configurable Production Environments (Sep 2018)
Mohammad Ashjaei, Kester Clegg , Lorenzo Corneo , Richard Hawkins , Omar Jaradat, Vincenzo Gulisano , Yiannis Nikolakopoulos
International Conference on Emerging Technologies and Factory Automation - Work in Progress Session (ETFA-WiP'18)

Designing a Bandwidth Management Scheme for Heterogeneous Virtualized Networks (Sep 2018)
Svetlana Girs, Mohammad Ashjaei
International Conference on Emerging Technologies and Factory Automation - Work in Progress Session (ETFA-WiP'18)

Challenges in High Performance Big Data Frameworks (Jul 2018)
Alessandro Papadopoulos, Martina Maggio
4th International Workshop on Autonomic High Performance Computing (AHPC 2018)

Thomas Nolte, Professor

Email: thomas.nolte@mdh.se
Room: U3-068
Phone: +46-21-103178