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
ARRAY - Automation Region Research Academy active
Cloud and the Industrial Internet of Things Initiative active
Collaborative Cloud Robotics active
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking active
DPAC - Dependable Platforms for Autonomous systems and Control active
Future factories in the Cloud active
HERO: Heterogeneous systems - software-hardware integration active
MRTV - Mälardalen Real-Time Virtualizer active
PARIS - Practical Probabilistic Timing Analysis of Real-Time 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
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
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]

DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks (Oct 2019)
Vaclav Struhar, Mohammad Ashjaei, Moris Behnam, Silviu Craciunas , Alessandro Papadopoulos
IEEE 45th Annual Conference of the Industrial Electronics Society (IECON'19)

Holistic Modeling of Time Sensitive Networking in Component-based Vehicular Embedded Systems (Aug 2019)
Saad Mubeen, Mohammad Ashjaei, Mikael Sjödin
Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2019)

Investigating Alternatives for System Architectures to Enhance Discrete Manufacturing (Aug 2019)
Sara Afshar, Fereidon Koroorian , Mohammad Ashjaei, Anna Granlund
International Journal of Distributed Sensor Networks (IJDSN)

A Proposal Towards Software-Defined Management of Heterogeneous Virtualized Industrial Networks (Jul 2019)
Luca Leonardi , Mohammad Ashjaei, Hossein Fotouhi, Lucia Lo Bello
IEEE International Conference on Industrial Informatics (INDIN'19)

Towards a Framework for Safe and Secure Adaptive Collaborative Systems (Jul 2019)
Aida Causevic, Alessandro Papadopoulos, Marjan Sirjani
The 9th IEEE International Workshop on Industrial Experience in Embedded Systems Design (IEESD 2019)

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing (Jul 2019)
Alessandro Papadopoulos, Laurens Versluis , André Bauer , Nikolas Roman Herbst , Jóakim von Kistowski , Ahmed Ali-Eldin , Cristina Abad , J. Nelson Amaral , Petr Tuma , Alexandru Iosup
IEEE Transactions on Software Engineering (TSE)


Alessandro Papadopoulos, Associate Professor,Docent

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


Thomas Nolte, Professor

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