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Container Live Migration for Latency Critical Industrial Applications on Edge Computing

机译:集装箱实时迁移用于延迟关键工业应用在边缘计算

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A new level of factory automation demands processing vast amounts of data, complex orchestration of cyberphysical systems, and coordination of computation as well as communication resources in real-time. Virtualization and decentralized computation is becoming a de-facto solution for factory automation. Edge Computing (EC) is a promising approach to achieve the low latencies required by many industrial systems. It employs resource rich edge servers distributed within a factory that are placed close to end devices and assist them in executing computation intensive tasks and also in coordinating with each other. This paper discusses the requirements and challenges of EC for factory automation applications. In a distributed EC infrastructure, safe and timely operation of industrial applications require load balancing and mobility support and thus a seamless service migration between the edge servers. With the recent advances in virtualization and due to its advantages, virtual machine (VM) and container technologies are pavings its way into factory. Though containers have some distinctive advantages over VMs in EC, the service live migration has comparatively high downtime. This paper proposes a novel live migration scheme called redundancy migration that reduces the downtime by a factor of 1.8 compared to the stock migration in linux containers.
机译:一种新的工厂自动化水平,需要加工大量数据,网络物理系统的复杂编排,以及实时协调以及通信资源。虚拟化和分散的计算正在成为工厂自动化的De-Facto解决方案。边缘计算(EC)是实现许多工业系统所需的低延迟的有希望的方法。它采用分布在靠近终端设备的工厂中的资源丰富的边缘服务器,并帮助它们执行计算密集型任务,并在彼此协调中。本文探讨了EC为工厂自动化应用的要求和挑战。在分布式EC基础架构中,工业应用的安全和及时操作需要负载平衡和移动支持,从而在边缘服务器之间进行无缝服务迁移。随着最近的虚拟化和由于其优点,虚拟机(VM)和集装箱技术铺设到工厂。虽然容器在EC中的VMS上具有一些独特的优势,但服务实时迁移在比较高的停机时间内。本文提出了一种名为Redundancy迁移的新型实时迁移方案,其与Linux容器中的库存迁移相比将停机时间减少1.8因子。

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