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The FORA Fog Computing Platform for Industrial IoT

机译：工业IOT的Fora Fog计算平台

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Industry 4.0 will only become a reality through the convergence of Operational and Information Technologies (OT & IT), which use different computation and communication technologies. Cloud Computing cannot be used for OT involving industrial applications, since it cannot guarantee stringent non-functional requirements, e.g., dependability, trustworthiness and timeliness. Instead, a new computing paradigm, called Fog Computing, is envisioned as an architectural means to realize the IT/OT convergence. In this paper we propose a Fog Computing Platform (FCP) reference architecture targeting Industrial IoT applications. The FCP is based on: deterministic virtualization that reduces the effort required for safety and security assurance; middleware for supporting both critical control and dynamic Fog applications; deterministic networking and interoperability, using open standards such as IEEE 802.1 Time-Sensitive Networking (TSN) and OPC Unified Architecture (OPC UA); mechanisms for resource management and orchestration; and services for security, fault tolerance and distributed machine learning. We propose a methodology for the definition and the evaluation of the reference architecture. We use the Architecture Analysis Design Language (AADL) to model the FCP reference architecture, and a set of industrial use cases to evaluate its suitability for the Industrial IoT area. (C) 2021 Elsevier Ltd. All rights reserved.
机译：行业4.0只能通过运营和信息技术（OT＆IT）的融合来成为现实，它使用不同的计算和通信技术。云计算不能用于涉及工业应用的OT，因为它不能保证严格的非功能性要求，例如可靠性，可信度和及时性。相反，被设想为迷雾计算的新计算范例作为实现IT / OT收敛的架构方法。在本文中，我们提出了一个针对工业物联网应用的雾计算平台（FCP）参考架构。 FCP基于：确定性虚拟化，从而降低了安全和安全保证所需的努力;用于支持关键控制和动态雾应用的中间件;确定性网络和互操作性，使用IEEE 802.1时间敏感网络（TSN）和OPC Unified Architecture（OPC UA）等开放标准;资源管理和管弦乐流程的机制;和安全，容错和分布式机器学习服务。我们提出了一种用于定义和参考架构评估的方法。我们使用架构分析设计语言（AADL）来模拟FCP参考架构，以及一套工业用例，以评估其工业物联网区域的适用性。 （c）2021 elestvier有限公司保留所有权利。

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