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
DPAC - Dependable Platforms for Autonomous systems and Control active
FIESTA - Federated Choreography of an Integrated Embedded Systems Software Architecture active
FLEXATION - Flexible and Secure Modular Automation 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
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

[Show all publications]

An Improved Worst-Case Response Time Analysis for AVB Traffic in Time-Sensitive Networks (Dec 2024)
Daniel Bujosa Mateu, Julián Proenza , Alessandro Papadopoulos, Thomas Nolte, Mohammad Ashjaei
45th IEEE Real-Time Systems Symposium (RTSS 2024)

Robust Online Epistemic Replanning of Multi-Robot Missions (Oct 2024)
Lauren Bramblet , Branko Miloradovic, Patrick Sherman , Alessandro Papadopoulos, Nicola Bezzo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

OPC UA PubSub and Industrial Controller Redundancy (Sep 2024)
Bjarne Johansson, Olof Holmgren , Martin Dahl , Håkan Forsberg, Thomas Nolte, Alessandro Papadopoulos
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2024)

Redundancy Link Security Analysis:\An Automation Industry Perspective (Sep 2024)
Björn Leander, Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei, Tomas Lindström
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'24)

Risk-Aware Planning of Collaborative Mobile Robot Applications with Uncertain Task Durations (Aug 2024)
Anders Lager, Branko Miloradovic, Giacomo Spampinato , Thomas Nolte, Alessandro Papadopoulos
International Conference on Robot and Human Interactive Communication (RO-MAN 2024)

A Deductive Fault Analysis Method Based on Hypergraphs (Aug 2024)
Carlo Vitucci, Thomas Westerbäck, Daniel Sundmark, Håkan Forsberg, Thomas Nolte, Marcus Jägemar
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024)


Alessandro Papadopoulos, Professor

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


Thomas Nolte, Professor

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