面向智能工厂中的可编程雾节点

Mathias Santos de Brito, S. Hoque, Ronald Steinke, A. Willner
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引用次数: 45

摘要

从18世纪蒸汽机的发明开始,工业革命形成了超过200亿个连接设备的生态系统,对国内生产总值(GDP)产生了不可预见的影响。据预测,到2020年,可连接资产将产生约44zb的数据,这将带来与隐私、连接、可扩展性等相关的有趣挑战。当前的行动路线是网络物理系统(cps)的发展,它可以由私有云或边缘系统监控和控制。我们的方法是将分析等功能尽可能地靠近设备(表示为雾计算),以减少延迟并增强数据隐私和通信健壮性。作为起点,我们正在使用基于容器的编排机制扩展符合标准的机器对机器通信(M2M)体系结构,以使cps可编程、自治和点对点通信。作为主要的应用领域,我们正在考虑特别是智能工厂环境和工业互联网领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Programmable Fog Nodes in Smart Factories
Starting with the invention of the steam engine in the 18th century, the industrial revolutions formed an ecosystem of over 20 billion connected devices with unforeseeable influence to the Gross Domestic Product (GDP). Predictions are that, by 2020 the connectable assets will generate about 44 ZB of data, which pose interesting challenges related to privacy, connectivity, scalability and others. A current line of action is the development of Cyber-Physical Systems (CPSs), which can be monitored and controlled by private clouds or edge systems. Our approach is to bring functionalities, such as analytics, as close to the devices as possible (denoted as Fog Computing) to reduce latency and enhance data privacy and communication robustness. As a starting point we're extending a standard-compliant Machine-To-Machine Communication (M2M) architecture with container based orchestration mechanisms to enable CPSs to be programmable, autonomous and to communicate peer-to-peer. As the main field of application we are considering in particular smart factory environments and Industrial Internet domains in general.
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