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

被引:25
作者
McKee, D. W. [1 ]
Clement, S. J. [1 ]
Almutairi, J. [1 ]
Xu, Jie [1 ]
机构
[1] Univ Leeds, Sch Comp, Leeds, W Yorkshire, England
来源
2017 IEEE 13TH INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS (ISADS 2017) | 2017年
基金
英国工程与自然科学研究理事会;
关键词
Cloud; SOA; Services; Big Data; Stream Processing; Smart Cities; HPC; Edge; Fog; Security; Simulation; Workflows; IoT; IoS; SIMaaS; WFaaS; Industry; 4.0; SMART CITY; INTERNET; THINGS; CLOUD; SIMULATION;
D O I
10.1109/ISADS.2017.56
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:5 / 11
页数:7
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