Florian Schade, M. Sc.

Florian Schade, M. Sc.

  • Engesserstr. 5
    76131 Karlsruhe

Research interests

Hypervisor-based software architectures for efficient mixed-criticality systems

Increasingly powerful processing platforms are leading to more centralized controller architectures in networked embedded systems as found in cars, aircraft or industrial production systems. Software-driven functions formerly realized on distributed processing units are integrated on few powerful machines. Hypervisors support this integration by managing the machine’s resources and isolating applications. However, In the context of safety and real-time systems, an efficient integration of mixed-critical software is difficult. Therefore, we research architectures and mechanisms to increase the efficiency of such platforms while still maintaining safety and timing guarantees.

Data processing in future industrial production systems

Future industrial production systems lead to new challenges concerning data processing and machine control. Focusing on flexibility and efficiency, KIT investigates a production system concept based on collaborating robots executing different manufacturing steps. During production robots exchange tools and switch between standalone and collaborative mode. An efficient control and data processing system is needed to orchestrate control and data processing software execution within a network of processing units, providing processing power as needed by the production system and ensuring real-time processing where necessary.

Supervised student works (selection)

  • MA: „Architecture for the Integration of Reconfigurable Hardware Accelerators in Hypervisor-based Edge Devices“
  • BA: „Development of a Resource Management Module for XEN Hypervisor Guest System Management“
  • BA: „Automated Job Deployment for Reconfigurable Industry 4.0 Production Systems in Additive Manufacturing“
  • MA: „Embedded Hypervisor Monitoring Using CPU Trace Information“
  • BA: „Design of a Monitoring System for Hypervisor-Based Multiprocessor SoCs“

Publications


2021
Conference Papers
Evaluation of a Hypervisor-Based Smart Controller for Industry 4.0 Functions in Manufacturing.
Schade, F.; Barton, D.; Fleischer, J.; Becker, J.
2021. 7th IEEE World Forum on Internet of Things (WF-IoT), 680–685, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WF-IoT51360.2021.9595534
2019
Journal Articles
Methodical approach for the development of a platform for the configuration and operation of turnkey production systems.
Gönnheimer, P.; Kimmig, A.; Mandel, C.; Stürmlinger, T.; Yang, S.; Schade, F.; Ehrmann, C.; Klee, B.; Behrendt, M.; Schlechtendahl, J.; Fischer, M.; Trautmann, K.; Fleischer, J.; Lanza, G.; Ovtcharova, J.; Becker, J.; Albers, A.
2019. Procedia CIRP, 84, 880–885. doi:10.1016/j.procir.2019.04.260
Evaluation of a high-throughput communication link for future automotive ADAS controllers.
Yigui, L.; Youteng, S.; Schade, F.; Hotfilter, T.; Becker, J.; Yuan, Z.; Zizhou, O.; Weiming, L.
2019. Proceedings of the Institution of Mechanical Engineers / D, 233 (9), 2371–2378. doi:10.1177/0954407019851334
Modular smart controller for Industry 4.0 functions in machine tools.
Barton, D.; Gönnheimer, P.; Schade, F.; Ehrmann, C.; Becker, J.; Fleischer, J.
2019. Procedia CIRP, 81, 1331–1336. doi:10.1016/j.procir.2019.04.022
Conference Papers
Leveraging the Partial Reconfiguration Capability of FPGAs for Processor-Based Fail-Operational Systems.
Dörr, T.; Sandmann, T.; Schade, F.; Bapp, F. K.; Becker, J.
2019. Applied Reconfigurable Computing – 15th International Symposium, ARC 2019, Darmstadt, 9.-11. April 2019, 96–111, Springer. doi:10.1007/978-3-030-17227-5_8
2018
Conference Papers
HLS-based Performance and Resource Optimization of Cryptographic Modules.
Silitonga, A.; Schade, F.; Jiang, G.; Becker, J.
2018. Proceedings of the 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA2018), Melbourne, Australia, 11th-13th December 2018, 1009–1016, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BDCloud.2018.00147
Reports/Preprints