Seamless Computing for Industrial Systems Spanning Cloud and Edge

Harald Mueller, Spyridon V. Gogouvitis, A. Seitz, B. Brügge
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引用次数: 14

Abstract

Industrial systems are more and more dominated by software. In addition, this software is present across several compute domains, from decentralized edge to centralized datacenters and clouds. While the productivity of application lifecycle management has tremendously improved in the area of cloud computing, there is no homogeneous and seamless environment to build, deploy and operate the software across these domains. This leads to a separation, inefficient processes, and duplicate efforts to provide software that runs across the different layers. This paper introduces the concept of seamless computing, which provides a seamless computing environment for multi-domain applications, supporting the mobility of workloads between cloud and edge. The approach is based on transferring established, de-facto standard cloud computing technologies to resource-constrained compute environments in the edge. After defining high-level requirements for seamless computing, a functional reference model is derived, and existing cloud technologies are discussed and selected according to their related capabilities.
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跨越云和边缘的工业系统无缝计算
工业系统越来越多地由软件主导。此外,该软件存在于多个计算域,从分散的边缘到集中的数据中心和云。虽然应用程序生命周期管理的生产力在云计算领域得到了极大的提高,但是在这些领域构建、部署和操作软件还没有统一的、无缝的环境。这导致了分离、低效的过程,以及提供跨不同层运行的软件的重复工作。本文引入了无缝计算的概念,为多领域应用提供了无缝的计算环境,支持工作负载在云和边缘之间的移动。该方法基于将已建立的、事实上的标准云计算技术转移到边缘资源受限的计算环境。在定义了无缝计算的高层次需求后,导出了功能参考模型,并根据其相关能力对现有云技术进行了讨论和选择。
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