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Article

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

1
School of Science and Engineering, Al Akhawayn University, Ifrane 53000, Morocco
2
Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida 24000, Morocco
3
Faculty of Sciences, Mohammed V University, BP 8007, Rabat 11000, Morocco
4
School of Engineering and Technology, University of Houston, Houston, TX 77024, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Andreas Sumper
Appl. Sci. 2021, 11(22), 10981; https://doi.org/10.3390/app112210981
Received: 29 September 2021 / Revised: 5 November 2021 / Accepted: 15 November 2021 / Published: 19 November 2021
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. View Full-Text
Keywords: single-board computers; edge computing; cloud computing; green computing; smart grids; Hadoop single-board computers; edge computing; cloud computing; green computing; smart grids; Hadoop
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MDPI and ACS Style

Bourhnane, S.; Abid, M.R.; Zine-dine, K.; Elkamoun, N.; Benhaddou, D. Cluster of Single-Board Computers at the Edge for Smart Grids Applications. Appl. Sci. 2021, 11, 10981. https://doi.org/10.3390/app112210981

AMA Style

Bourhnane S, Abid MR, Zine-dine K, Elkamoun N, Benhaddou D. Cluster of Single-Board Computers at the Edge for Smart Grids Applications. Applied Sciences. 2021; 11(22):10981. https://doi.org/10.3390/app112210981

Chicago/Turabian Style

Bourhnane, Safae, Mohamed Riduan Abid, Khalid Zine-dine, Najib Elkamoun, and Driss Benhaddou. 2021. "Cluster of Single-Board Computers at the Edge for Smart Grids Applications" Applied Sciences 11, no. 22: 10981. https://doi.org/10.3390/app112210981

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