Containerization:For Over-the-Air Programming of Field Deployed Internet-of-Energy Based on Cost Effective LPWAN

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Asif, Rameez, Ghanem, Kinan and Irvine, James (2020) Containerization:For Over-the-Air Programming of Field Deployed Internet-of-Energy Based on Cost Effective LPWAN. In: Proceedings - 2020 1st International Conference of Smart Systems and Emerging Technologies, SMART-TECH 2020. Proceedings - 2020 1st International Conference of Smart Systems and Emerging Technologies, SMART-TECH 2020 . The Institute of Electrical and Electronics Engineers (IEEE), SAU, pp. 65-70. ISBN 9781728174075

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Abstract

Containerization is widely investigated as a secure and lightweight virtualization solution. They have outclassed the traditional virtual machines (VMs) architecture in the cloud because of having built-in capabilities to provide platform-as-a-service (PaaS) to the edge devices. Containers consume less hardware resource, scalable and provide faster patch times, thus they have been suggested as a solution for more practical and real-time virtualization resource in energy utilities. Containers can be used as a replacement for VMs because the main feature of the modern cloud architecture, i.e. workloads are able to utilize shared hardware resources that are provided across all data-center nodes for any purpose. This article reviews the implementation architecture of the containers for energy sector applications, i.e. next-generation substation automation systems. Moreover, we analysed the power consumed by the edge devices, based on the low power wide area network (LPWAN), for over-the-air programming through containers. In addition, we studied the success factors of containers, by considering specific used-cases and explain the benefits of using containers over traditional VMs.

Item Type:	Book Section
Additional Information:	Publisher Copyright: © 2020 IEEE.
Uncontrolled Keywords:	electrical and electronic engineering,instrumentation,computer networks and communications,artificial intelligence,energy engineering and power technology,control and optimization ,/dk/atira/pure/subjectarea/asjc/2200/2208
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	23 Aug 2022 13:30
Last Modified:	14 Mar 2023 08:38
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87565
DOI:	10.1109/SMART-TECH49988.2020.00030

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