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Research Profile

Research Area "Distributed and Embedded Systems"

Computer science develops and implements information-processing systems ranging from individual computers to globally networked computers on the Internet. A particularly dynamic area is the integration of computers into other products, such as cars, cell phones or robots. Such systems enable control and interaction of the product with its environment - be it other technical systems or the user. Modern technical systems, such as cars, contain numerous simple computing systems (embedded systems) that must interact with each other and with the driver to ensure error-free operation. The design of networked embedded systems requires principles, methods and tools that make the complexity manageable and enable efficient realization.

Exemplary research topics include the following:

  • Design, analysis and evaluation of networked and distributed systems, for example in terms of performance, resilience and consistency.
  • Predictive assessment of quantitative properties such as effectiveness, efficiency, reliability and availability of information processing systems
  • Systematic development and maintenance of distributed software systems, such as those found in networks and network-based services, for example Internet-based information systems
  • Interaction between users and environment via sensors
  • Integrated design of hardware and software using high-level languages and adapted compiler technology

Current research results

  • Jian-Jia Chen, Geoffrey Nelissen, Wen-Hung Huang, Maolin Yang, Björn B. Brandenburg, Konstantinos Bletsas, Cong Liu, Pascal Richard, Frédéric Ridouard, Neil C. Audsley, Raj Rajkumar, Dionisio de Niz, Georg von der Brüggen: Many suspensions, many problems: a review of self-suspending tasks in real-time systems. Real Time Syst. 55(1): 144-207 (2019). DOI: 10.1007/s11241-018-9316-9
  • Klaus-Tycho Förster, Thibault Marette, Stefan Neumann, Claudia Plant, Ylli Sadikaj, Stefan Schmid, Yllka Velaj: Analyzing the Communication Clusters in Datacenters. WWW 2023: 3022-3032. DOI: 10.1145/3543507.3583410.