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

机译:网络物理系统中的大规模自动化:愿景与挑战

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摘要

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.
机译:随着模拟互联网(IoS)的发展,计算的下一个时代是物联网(IoT)和智能城市的发展。应用于大数据和深度学习领域的Cloud,Edge和Fog计算以及HPC的现有技术不足以处理实现完全集成和自动化的智能城市所需的系统规模和复杂性。现有系统的这种集成将以尚未经历的规模产生爆炸性的数据流。可以将附加数据与模拟即服务(SIMaaS)组合在一起,以在城市中所有集成的系统,事物,设备和个人之间提供一种共享的现实模型。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等领域的系统的自动化,扩充和集成方面的现有最新技术。此外,还研究了与大数据有关的主要挑战,现实模型,系统扩充,计算和安全性。

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