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.
翻译:时间边缘云被视为解决工业4.0环境中许多新出现的需要的答案,因为它能够提供灵活、模块化和可调整的服务,低潜伏和降低成本;管弦化系统由于就软件组件的放置和生命周期作出决定而成为云的核心组成部分;目前的解决办法开始采用实时容器支持时间的可预测性;然而,这些办法缺乏确定性,也缺乏对需要多种程度保证/临界性的工作量的支持;在本文件中,我们提出一个k4.0s,即实时和混合临界性环境的管弦化模式,其中包括及时性、临界性和网络要求;该模式为节点和工作,例如节点保证和工作,利用新的抽象性,需要新的监测战略;我们根据Kubernetes绘制了执行该提案的蓝图,并提出一个实验,说明需要达到节点保证水平和适当的监测。