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
Hierarchical transactional memory protocol for distributed mixed-criticality embedded systems
Hierarchical transactional memory protocol for distributed mixed-criticality embedded systems
Self-Configuring Real-Time Communication Network based on OpenFlow
Self-Configuring Real-Time Communication Network based on OpenFlow
DREAMS: Cross-Domain Mixed-Criticality Patterns
DREAMS: Cross-Domain Mixed-Criticality Patterns
On-chip networks for mixed-criticality systems
On-chip networks for mixed-criticality systems
Co-simulation framework for AUTOSAR multi-core processors with message-based Network-on-Chips
Co-simulation framework for AUTOSAR multi-core processors with message-based Network-on-Chips
Mixed-criticality transactional memory controller for embedded systems
Mixed-criticality transactional memory controller for embedded systems
TSimNet: An industrial Time Sensitive Networking simulation framework based on OMNeT++
TSimNet: An industrial Time Sensitive Networking simulation framework based on OMNeT++
A Dominator-Based Partitioning for Efficient Scheduling in Time-Triggered NoCs
A Dominator-Based Partitioning for Efficient Scheduling in Time-Triggered NoCs
Fault injection for IEC 61499 applications
Fault injection for IEC 61499 applications
SAFEPOWER Project: Architecture for Safe and Power-Efficient Mixed-Criticality Systems
SAFEPOWER Project: Architecture for Safe and Power-Efficient Mixed-Criticality Systems
Computing Optimal Communication Schedules for Time-Triggered Networks Using an SMT Solver
Computing Optimal Communication Schedules for Time-Triggered Networks Using an SMT Solver
Novel Scheduling Strategies for future NoC and MPSoC Architectures
Novel Scheduling Strategies for future NoC and MPSoC Architectures
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