论文标题
迈向工业边缘计算的参考架构模型
Towards a Reference Architecture Model for Industrial Edge Computing
论文作者
论文摘要
在行业数字化转型的背景下,整个价值连锁店在各个应用程序领域之间连接;只要经济,生态或社会利益就会出现。在工业互联网(IIT)的保护下,传统的运营技术(OT)方法被信息和通信技术(ICT)系统替换或至少增强,以促进这一发展。为了满足工业需求,例如与隐私,确定论,潜伏期或自治有关,已建立的云计算机制正在更接近数据源和执行器。根据上下文,此分布式云计算范式被命名为边缘计算或雾计算,并且各种挑战已受到多个出版物的影响。但是,一个适当的参考模型描述了该范式跨越的多维问题空间,似乎仍然是未定义的。这样的模型应提供方向,将工作与当前和未来的研究问题识别。本文旨在以对工业自动化的重点填补这一空白,并遵循针对特定领域(例如智能网格体系结构模型(SGAM))和参考架构模型Industrie Industrie 4.0(RAMI4.0)开发的模拟模型。提出的参考体系结构模型边缘计算(RAMEC)在制造域中的边缘计算范式上标识了210个视图。该模型的未来迭代可能用于将相关研究,标准化和开发活动的分类。
In the context of the digital transformation of the industry, whole value chains get connected across various application domains; as long as economic, ecologic, or social benefits arise to do so. Under the umbrella of the Industrial Internet of Things (IIoT), traditional Operational Technology (OT) approaches are replaced or at least augmented by Information and Communication Technology (ICT) systems to facilitate this development. To meet industrial requirements, for example, related to privacy, determinism, latency, or autonomy, established Cloud Computing mechanisms are being moved closer to data sources and actuators. Depending on the context, this distributed Cloud Computing paradigm is named Edge Computing or Fog Computing and various challenges have been subject to several publications. However, a proper reference model that describes the multi-dimensional problem space which is being spanned by this paradigm, seems still to be undefined. Such a model should provide orientation, put work in relation and support the identification of current and future research issues. This paper aims to fill this gap with a focus on industrial automation and follows analog models that have been developed for specific domains such as the Smart Grid Architecture Model (SGAM) and the Reference Architecture Model Industrie 4.0 (RAMI4.0). The proposed Reference Architecture Model Edge Computing (RAMEC) identifies 210 views on the Edge Computing paradigm in the manufacturing domain. Future iterations of this model might be used for the classification of relevant research, standardization, and development activities.