Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems
- Author(s): David W. McKee 1 ; Stephen J. Clement 1 ; Jaber Almutairi 1 ; Jie Xu 1
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View affiliations
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Affiliations:
1:
Faculty of Engineering , School of Computing, University of Leeds , Leeds , UK
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Affiliations:
1:
Faculty of Engineering , School of Computing, University of Leeds , Leeds , UK
- Source:
Volume 3, Issue 2,
June
2018,
p.
75 – 82
DOI: 10.1049/trit.2018.0010 , Online ISSN 2468-2322
With the evolution of the Internet of things and smart cities, a new trend of the Internet of simulation has emerged to utilise the technologies of cloud, edge, fog computing, and high-performance computing for design and analysis of complex cyber-physical systems using simulation. These technologies although being applied to the domains of big data and deep learning are not adequate to cope with the scale and complexity of emerging connected, smart, and autonomous systems. This study explores 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. This is expanded to look at existing computational infrastructure and how it can be used to support these applications. A detailed review is presented of advances in approaches providing and supporting intelligence as a service. Finally, some of the remaining challenges due to the explosion of data streams; issues of safety and security; and others related to big data, a model of reality, augmentation of systems, and computation are examined.
Inspec keywords: smart cities; Big Data; energy conservation; cloud computing; service-oriented architecture; intelligent manufacturing systems; security of data; Internet of Things; production engineering computing; cyber-physical systems
Other keywords: smart systems; healthcare; data security; edge computing; computational infrastructure; complex cyber-physical systems; autonomous systems; energy efficiency; cloud computing; automating systems; data streams; augmenting systems; autonomous vehicles; fog computing; integrating systems; smart cities; distributed cyber-physical systems; deep learning; data safety; intelligent autonomy survey; smart manufacturing; big data; intelligence service; internet of things
Subjects: Software engineering techniques; Internet software; Industrial applications of IT; Manufacturing systems; Information resources and networks; Production engineering computing; Knowledge engineering techniques; Data security
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