McKee, DW orcid.org/0000-0002-9047-7990, Clement, SJ orcid.org/0000-0003-2918-5881, Almutairi, J et al. (1 more author) (2017) Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges. In: IEEE 13th International Symposium on Autonomous Decentralized Systems (ISADS 2017). ISADS 2017, 22-24 Mar 2017, Bangkok, Thailand. IEEE , pp. 5-11. ISBN 978-1-5090-4042-1
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Cloud; SOA; Services; Big Data; Stream Processing; Smart Cities; HPC; Edge; Fog; Security; Simulation; Workflows; IoT; IoS; SIMaaS; WFaaS; Industry 4.0; Cloud computing; Robots; Mathematical model; Computational model; Automation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Feb 2017 13:00 |
Last Modified: | 15 Jan 2018 21:30 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISADS.2017.56 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112214 |