Cluster of Single-Board Computers at the Edge for Smart Grids Applications

Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and provides better power quality, which gives a better...

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Autores principales:	Safae Bourhnane, Mohamed Riduan Abid, Khalid Zine-dine, Najib Elkamoun, Driss Benhaddou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	single-board computers edge computing cloud computing green computing smart grids Hadoop Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/5cde14527d274273a4f513a76db8ecaa
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id	oai:doaj.org-article:5cde14527d274273a4f513a76db8ecaa
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spelling	oai:doaj.org-article:5cde14527d274273a4f513a76db8ecaa2021-11-25T16:42:27ZCluster of Single-Board Computers at the Edge for Smart Grids Applications10.3390/app1122109812076-3417https://doaj.org/article/5cde14527d274273a4f513a76db8ecaa2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10981https://doaj.org/toc/2076-3417Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and provides better power quality, which gives a better experience to the end users. This is how the concept of smart grids (SG) came to light. SGs have been introduced to better monitor and control the power produced and consumed. In addition to this, SGs help with reducing the electricity bill through the integration of renewable energy sources. The underlying smartness of the SGs resides in the flow of information in addition to the flow of energy. Information/data flowing implies the use of smart sensors and smart meters that sense and send data about the power produced and consumed, and the data about the environment where they are deployed. This makes SGs a direct application of IoT. In this paper, we are implementing an edge platform that is based on single-board computers (SBCs) to process data stemming from SG. The use of SBCs is driven by the energy efficiency and cost effectiveness concepts that the SG is trying to apply. The platform in question is tested against a distributed job that averages random numbers using Hadoop’s MapReduce programming model. The SBC that we are using in this implementation is the NVIDIA Jetson Developer Kit. The results of this work show that a cluster of SBCs is low-cost, easy to maintain, and simple to deploy, which makes it a great candidate for providing edge computing. Although it revealed a performance that beat the one of the remote cloud servers, it could not outperform the single-computer edge platform.Safae BourhnaneMohamed Riduan AbidKhalid Zine-dineNajib ElkamounDriss BenhaddouMDPI AGarticlesingle-board computersedge computingcloud computinggreen computingsmart gridsHadoopTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10981, p 10981 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	single-board computers edge computing cloud computing green computing smart grids Hadoop Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	single-board computers edge computing cloud computing green computing smart grids Hadoop Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Safae Bourhnane Mohamed Riduan Abid Khalid Zine-dine Najib Elkamoun Driss Benhaddou Cluster of Single-Board Computers at the Edge for Smart Grids Applications
description	Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and provides better power quality, which gives a better experience to the end users. This is how the concept of smart grids (SG) came to light. SGs have been introduced to better monitor and control the power produced and consumed. In addition to this, SGs help with reducing the electricity bill through the integration of renewable energy sources. The underlying smartness of the SGs resides in the flow of information in addition to the flow of energy. Information/data flowing implies the use of smart sensors and smart meters that sense and send data about the power produced and consumed, and the data about the environment where they are deployed. This makes SGs a direct application of IoT. In this paper, we are implementing an edge platform that is based on single-board computers (SBCs) to process data stemming from SG. The use of SBCs is driven by the energy efficiency and cost effectiveness concepts that the SG is trying to apply. The platform in question is tested against a distributed job that averages random numbers using Hadoop’s MapReduce programming model. The SBC that we are using in this implementation is the NVIDIA Jetson Developer Kit. The results of this work show that a cluster of SBCs is low-cost, easy to maintain, and simple to deploy, which makes it a great candidate for providing edge computing. Although it revealed a performance that beat the one of the remote cloud servers, it could not outperform the single-computer edge platform.
format	article
author	Safae Bourhnane Mohamed Riduan Abid Khalid Zine-dine Najib Elkamoun Driss Benhaddou
author_facet	Safae Bourhnane Mohamed Riduan Abid Khalid Zine-dine Najib Elkamoun Driss Benhaddou
author_sort	Safae Bourhnane
title	Cluster of Single-Board Computers at the Edge for Smart Grids Applications
title_short	Cluster of Single-Board Computers at the Edge for Smart Grids Applications
title_full	Cluster of Single-Board Computers at the Edge for Smart Grids Applications
title_fullStr	Cluster of Single-Board Computers at the Edge for Smart Grids Applications
title_full_unstemmed	Cluster of Single-Board Computers at the Edge for Smart Grids Applications
title_sort	cluster of single-board computers at the edge for smart grids applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5cde14527d274273a4f513a76db8ecaa
work_keys_str_mv	AT safaebourhnane clusterofsingleboardcomputersattheedgeforsmartgridsapplications AT mohamedriduanabid clusterofsingleboardcomputersattheedgeforsmartgridsapplications AT khalidzinedine clusterofsingleboardcomputersattheedgeforsmartgridsapplications AT najibelkamoun clusterofsingleboardcomputersattheedgeforsmartgridsapplications AT drissbenhaddou clusterofsingleboardcomputersattheedgeforsmartgridsapplications
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Cluster of Single-Board Computers at the Edge for Smart Grids Applications

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