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.

中文翻译：

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ODRE 研讨会：HPC 中的概率动态硬实时调度

工业 4.0 正在从根本上改变工业过程中数据的收集、存储和分析方式。虽然这种变化使新的应用成为可能，例如高度定制化产品的灵活制造，但这些过程的实时控制尚未充分发挥其潜力。我们相信现代虚拟化技术，特别是应用程序容器，为将控制功能与相关硬件分离提供了独特的机会。通过它，我们可以充分实现高度分布式和可转移的工业过程的潜力，即使存在由时间关键的子过程引起的实时限制。在本文中，我们提出了一种专门开发的编排工具，用于管理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，建议的工具可以管理容器化应用程序在共享资源上的执行，而不会影响硬实时执行确定性。通过第一次实验结果，我们确认了可行性并分析了具有严格实时性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所提出方法的性能、应用范围和限制的实验。建议的工具可以管理容器化应用程序在共享资源上的执行，而不会影响硬实时执行确定性。通过第一次实验结果，我们确认了可行性并分析了具有严格实时性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所提出方法的性能、应用范围和限制的实验。建议的工具可以管理容器化应用程序在共享资源上的执行，而不会影响硬实时执行确定性。通过第一次实验结果，我们确认了可行性并分析了具有严格实时性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所提出方法的性能、应用范围和限制的实验。