Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

D. McKee, S. J. Clement, Jaber Almutairi, Jie Xu
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引用次数: 32

Abstract

The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing state-of-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined.
信息物理系统中的大规模自动化:愿景与挑战
随着模拟互联网(Internet of Simulation, IoS)的发展,下一个计算时代将是物联网(IoT)和智慧城市的演进。现有的云计算、边缘计算、雾计算以及应用于大数据和深度学习领域的高性能计算技术,不足以处理促进完全集成和自动化的智慧城市所需的系统的规模和复杂性。现有系统的这种集成将以前所未有的规模创造数据流的爆炸式增长。额外的数据可以与模拟即服务(SIMaaS)相结合,为城市内所有集成系统、事物、设备和个人提供共享的现实模型。在管理集成系统的安全性方面也存在许多挑战。本文概述了智能城市、自动驾驶汽车、能源效率、工业4.0中的智能制造和医疗保健领域中自动化、增强和集成系统的现有最新技术。此外,与大数据,现实模型,系统增强,计算和安全相关的关键挑战进行了检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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