论文标题
引入K4.0：工业4.0（扩展）中混合批判性集装箱编排的模型
Introducing k4.0s: a Model for Mixed-Criticality Container Orchestration in Industry 4.0 (extended)
论文作者
论文摘要
时间可预测的边缘云被视为在行业4.0环境中许多出现需求的答案，因为它能够以低潜伏期和降低成本提供灵活，模块化和可重新配置的服务。编排系统正在成为云的核心组成部分，因为它们会决定软件组件的放置和生命周期。当前的解决方案开始引入实时容器支持时间可预测性；但是，这些方法缺乏决定论以及对需要多个级别保证/关键性的工作负载的支持。 在本文中，我们提出了K4.0S，这是一种用于实时和混合批判性环境的编排模型，其中包括及时性，关键性和网络要求。该模型利用节点和作业的新抽象，例如节点保证，并且需要新颖的监视策略。我们勾勒出基于Kubernetes的建议的实现，并提出了一个实验，激发了对节点保证水平和足够监视的需求。
Time predictable edge cloud is seen as the answer for many arising needs in Industry 4.0 environments, since it is able to provide flexible, modular, and reconfigurable services with low latency and reduced costs. Orchestration systems are becoming the core component of clouds since they take decisions on the placement and lifecycle of software components. Current solutions start introducing real-time containers support for time predictability; however, these approaches lack of determinism as well as support for workloads requiring multiple levels of assurance/criticality. In this paper, we present k4.0s, an orchestration model for real-time and mixed-criticality environments, which includes timeliness, criticality and network requirements. The model leverages new abstractions for both node and jobs, e.g., node assurance, and requires novel monitoring strategies. We sketch an implementation of the proposal based on Kubernetes, and present an experimentation motivating the need for node assurance levels and adequate monitoring.
