Probabilistic Dynamic Hard Real-Time Scheduling in HPC
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Industry 4.0 is changing fundamentally the way data is collected, stored and analyzed in industrial processes, enabling novel application such as flexible manufacturing of highly customized products. Real-time control of these processes, however, has not yet realized its full potential in using the data collected to drive further development. We believe that modern virtualization techniques, specifically application containers, present a unique opportunity to decouple control functionality from associated plants and fully realize the potential for highly distributed and transferable industrial processes even with real-time constraints arising from time-critical sub-processes. In this paper, we explore the challenges and opportunities of shifting industrial control software from dedicated hardware to bare-metal servers or (edge) cloud computing platforms using off-the-shelf technology. We present a specifically developed orchestration tool that can manage the execution of containerized applications on shared resources without compromising hard real-time execution determinism.
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