MESITA
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Embedded Systems
The last two decades have witnessed a remarkable evolution of computer systems, in particular embedded systems. Such systems are typically hidden within larger electronic devices and carry out a particular function, potentially critical in terms of money or human lives. Examples of such systems are smart-phones, anti-lock brakes, auto-focus cameras, fax machines, life-support devices, flight management systems and hundreds of other use-cases, in which embedded systems are completely unrecognized by the device’s user.
Embedded systems enable the real-time computer control of physical devices and systems, resulting in an unprecedented level of performance and utility. The specific imposed requirements that must be satisfied by embedded systems, such as timeliness, dependable operation in safety-relevant scenarios, short time-to-market and low cost in combination with the pressure to increase the functionality, lead to an enormous and challenging growth in the complexity of the design at the system level.
About the Chair
Research and Teaching
Research
- NoC-based multi-core architectures with real-time support, fault tolerance and energy effiency
- Networked embedded systems including system architectures, time-triggered protocols and scheduling algorithms
- Methods for dependability including fault diagnosis and fault tolerance (e.g., organic computing)
- Embedded Artificial Intelligence (AI) including embedded AI models and hardware accelerators with real-time support and dependability
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Application domains including industrial control, automation, automotive systems, avionics and medical systems
Teaching
- Basic computer science courses (e.g., technical computer science, object-oriented design)
- Specialized courses in the area of embedded systems(e.g. embedded system design with FPGA, embedded system)
Research Fields
Embedded System Technologies
Our research offers solutions to the challenging problems of designed embedded systems through significant advances in the area of distributed system architectures. A system architecture provides the scientific and engineering foundation for the construction of embedded systems.
The goals of our research are to discover design principles and to develop architectural services that enable a component-based development of embedded systems in such a way that the ensuing systems can be built cost-effectively and exhibit key non-functional properties (e.g. composability, robustness, maintainability).
Our investigations have resulted in contributions ranging from conceptual models of component-based system architectures, to distributed algorithms for protocol transformation and fault-tolerance, to embedded operating system technologies, to embedded AI technologies and a multi-processor system-on-a-chip for safety-relevant applications. We follow a balanced intermix between conceptual work with a sound theoretical basis and prototype implementations with experimental evaluations. Due to the interdisciplinary nature of embedded systems, we employ close cooperation with researchers from other fields (e.g. experts on hardware-software co-design, knowledge management, theoretical computer science, specialists from automotive, railway, avionic and industrial control domains). Furthermore, our close collaboration with industry provides real-world requirements and research challenges, as well as industrial feedback.
Research focus
- Mixed-criticality systems
- Adaptive and dependable real-time systems
- Networked embedded systems
- Predictable multi-core architecture
- Embedded AI
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Domain-specific architectures and platforms
Publication Lists
Publications
Conference paper
2018
Dynamic Resource Allocation of Switched Ethernet Networks in Embedded Real-Time Systems
Dynamic Resource Allocation of Switched Ethernet Networks in Embedded Real-Time Systems
Conference paper
2018
Fault injection framework for assessing fault containment of TTEthernet against babbling idiot failure
Fault injection framework for assessing fault containment of TTEthernet against babbling idiot failure
Conference paper
2018
MeSViz: Visualizing Scenario-based Meta-Schedules for Adaptive Time-Triggered Systems
MeSViz: Visualizing Scenario-based Meta-Schedules for Adaptive Time-Triggered Systems
Conference paper
2018
Range prediction and extension for automated electric vehicles with fail-operational powertrain: Optimal and safety based torque distribution for multiple traction motors (Best paper award)
Range prediction and extension for automated electric vehicles with fail-operational powertrain: Optimal and safety based torque distribution for multiple traction motors (Best paper award)
Conference paper
2018
Virtual Switch Supporting Time-Space Partitioning and Dynamic Configuration for Integrated Train Control and Management Systems
Virtual Switch Supporting Time-Space Partitioning and Dynamic Configuration for Integrated Train Control and Management Systems
Journal article
2018
Adaptive and technology-independent architecture for fault-tolerant distributed AAL solutions
Adaptive and technology-independent architecture for fault-tolerant distributed AAL solutions
Book
2018
Distributed Real-Time Architecture for Mixed-Criticality Systems
Distributed Real-Time Architecture for Mixed-Criticality Systems
Conference paper
2018
Fault Injection Framework for Demand-Controlled Ventilation and Heating Systems Based on Wireless Sensor and Actuator Networks
Fault Injection Framework for Demand-Controlled Ventilation and Heating Systems Based on Wireless Sensor and Actuator Networks
Conference paper
2018
Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks
Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks
Conference paper
2018
Network-Centric Co-Simulation Framework for Software-In-the-Loop Testing of Geographically Distributed Simulation Components
Network-Centric Co-Simulation Framework for Software-In-the-Loop Testing of Geographically Distributed Simulation Components
Conference paper
2017
Class-based query-optimization for minimizing worst-case execution times of diagnostic queries in embedded real-time systems
Class-based query-optimization for minimizing worst-case execution times of diagnostic queries in embedded real-time systems
Conference paper
2017
Fault Injection Framework for Fault Diagnosis based on Machine Learning in Heating and Demand-Controlled Ventilation Systems
Fault Injection Framework for Fault Diagnosis based on Machine Learning in Heating and Demand-Controlled Ventilation Systems
Embedded Systems Projects
Topic Areas
Education
TECY: Telepresence and Collaboration of Students in a Mixed Physical/Virtual La…EmbeddedAI: International Master of Science Program in the Field of Embedded AIIGNITE: Individual support in teaching of mathematics, computer science, natura…IOTRAIN: Master of Engineering in Internet of ThingsMS@CPS: International Master of Computer Science on Cyberphysical SystemsMESITA: Smart Farming and IoT in AgricultureSKOPS: Empowering the European Workforce Development through Online/Virtual Ski…
