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.


Division:

Division of Networked and Embedded 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
PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks active
ARRAY ++, Automation Region Research Academy active
ARRAY - Automation Region Research Academy active
Cloud and the Industrial Internet of Things Initiative active
Collaborative Cloud Robotics active
FIESTA - Federated Choreography of an Integrated Embedded Systems Software Architecture active
FLEXATION - Flexible and Secure Modular Automation active
MARC: Mälardalen University Automation Research Center active
MRTV - Mälardalen Real-Time Virtualizer active
PSI: Pervasive Self-Optimizing Computing Infrastructures active
ROBOREC: Semi-automated Dismantling System for Battery Metal Recovery and Recycling active
TRIM: TRustworthy Interaction of Multi-agent systems active
ACICS - Assured Cloud Platforms for Industrial Cyber-physical Systems finished
ARROWS - Design Techniques for Adaptive Embedded Systems finished
AUTOSAR for Multi-Core in Automotive and Automation Industries finished
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking finished
DPAC - Dependable Platforms for Autonomous systems and Control finished
FuturAS: Future Generation Automation Systems finished
Future factories in the Cloud finished
HERO: Heterogeneous systems - software-hardware integration finished
HISCORE - Hierarchical Scheduling of Complex Real-Time Embedded Systems finished
PARIS - Practical Probabilistic Timing Analysis of Real-Time Systems finished
PPMsched - Performance Preserving Multicore Scheduling finished
PREMISE - Predictable Multicore Systems finished
PRESS - Predictable Embedded Software Systems finished
PreView: Developing Predictable Vehicle Software on Multi-core finished
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks finished
RV-REDS - Resource Virtualization for Real-Time Embedded Distributed Systems finished
SACSys - Safe and Secure Adaptive Collaborative Systems finished
SeCRA - Security Case Run-Time Adaptation 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

Alessandro Papadopoulos, Professor

Room: U1-131
Phone: +46 (0)21-1073 23


Thomas Nolte, Professor

Room: U3-068
Phone: +46-21-103178