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
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
PreView: Developing Predictable Vehicle Software on Multi-core active
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks active
RV-REDS - Resource Virtualization for Real-Time Embedded Distributed Systems active
Sprint 12 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT active
Sprint 13 Project: SLA-IoT - Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT active
SYNOPSIS - Safety Analysis for Predictable Software Intensive Systems 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
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
START - Stochastic Real-Time Analysis of Embedded Software Systems finished

Thomas Nolte, Professor

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