The FORA European Training Network on Fog Computing for Robotics and Industrial Automation

M. Barzegaran, P. Pop
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Abstract

Fog Computing for Robotics and Industrial Automation, FORA, was a European Training Network which focused on future industrial automation architectures and applications based on an emerging technology, called Fog Computing. The research project focused on research related to Fog Computing with applicability to industrial automation and manufacturing. The main outcome of the FORA project was the development of a deterministic Fog Computing Platform (FCP) to be used for implementing industrial automation and robotics solutions for Industry 4.0. This paper reports on the scientific outcomes of the FORA project. FORA has proposed a reference system architecture for Fog Computing, which was published as an open Architecture Analysis Design Language (AADL) model. The tech-nologies developed in FORA include fog nodes and hypervisors, resource management mechanisms and middleware for deploying scalable Fog Computing applications, while guaranteeing the non-functional properties of the virtualized industrial control applications, and methods and processes for assuring the safety and security of the FCP. Several industrial use cases were used to evaluate the suitability of the FORA FCP for the Industrial IoT area, and to demonstrate how the platform can be used to develop industrial control applications and data analytics applications.
FORA欧洲机器人和工业自动化雾计算培训网络
机器人和工业自动化的雾计算(FORA)是一个欧洲培训网络,专注于基于一种称为雾计算的新兴技术的未来工业自动化架构和应用。该研究项目重点研究雾计算在工业自动化和制造业中的应用。FORA项目的主要成果是开发了一个确定性雾计算平台(FCP),用于实施工业自动化和工业4.0机器人解决方案。本文报道了FORA项目的科学成果。FORA提出了一个用于雾计算的参考系统架构,并作为开放的体系结构分析设计语言(AADL)模型发布。FORA开发的技术包括雾节点和管理程序、用于部署可扩展雾计算应用程序的资源管理机制和中间件,同时保证虚拟化工业控制应用程序的非功能性,以及确保FCP安全性的方法和流程。使用了几个工业用例来评估FORA FCP在工业物联网领域的适用性,并演示了如何使用该平台开发工业控制应用和数据分析应用。
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