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ODRE Workshop: Probabilistic Dynamic Hard Real-Time Scheduling in HPC

机译：ODRE研讨会：HPC中的概率动态硬实时调度

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摘要

Industry 4.0 is changing fundamentally the way data is collected, stored and analyzed in industrial processes. While this change enables novel application such as flexible manufacturing of highly customized products, the real-time control of these processes, however, has not yet realized its full potential. We believe that modern virtualization techniques, specifically application containers, present a unique opportunity to decouple control functionality from associated hardware. Through it, we can 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 present a specifically developed orchestration tool to manage 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, the proposed tool can manage the execution of containerized applications on shared resources without compromising hard real-time execution determinism. Through first experimental results, we confirm the viability and analyzed the behavior of resource shared systems with strict real-time requirements. We then describe experiments set out to deliver expected results and gather performance, application scope and limits of the presented approach.
机译：工业4.0从根本上改变了在工业过程中收集，存储和分析数据的方式。尽管此更改可以实现新颖的应用程序，例如高度定制产品的灵活制造，但是这些过程的实时控制尚未实现其全部潜力。我们认为，现代虚拟化技术，特别是应用程序容器，为将控制功能与相关硬件脱钩提供了独特的机会。通过它，即使在时间紧迫的子流程引起实时约束的情况下，我们也可以充分实现高度分散和可转移的工业流程的潜力。在本文中，我们提出了一种专门开发的编排工具，以应对将工业控制软件从专用硬件转移到裸机服务器或（边缘）云计算平台的挑战和机遇。使用现成的技术，所提出的工具可以管理共享资源上的容器化应用程序的执行，而不会影响硬实时执行的确定性。通过第一个实验结果，我们确认了可行性，并分析了具有严格实时要求的资源共享系统的行为。然后，我们描述了旨在提供预期结果并收集性能，应用范围和所提出方法的限制的实验。

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