Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment

The fog layer provides substantial benefits in cloud-based IoT applications because it can serve as an aggregation layer and it moves the computation resources nearer to the IoT devices; however, it is important to ensure adequate performance is achieved in such applications, as the devices usually...

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Autores principales:	Mohammed A. Aleisa, Abdullah Abuhussein, Faisal S. Alsubaei, Frederick T. Sheldon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Internet of Things performance analysis fog computing cloud computing performance metrics benchmarking Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/68215538438b47e2a4f0caa7af53e4a8
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id	oai:doaj.org-article:68215538438b47e2a4f0caa7af53e4a8
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spelling	oai:doaj.org-article:68215538438b47e2a4f0caa7af53e4a82021-11-11T18:59:46ZExamining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment10.3390/s212169501424-8220https://doaj.org/article/68215538438b47e2a4f0caa7af53e4a82021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/6950https://doaj.org/toc/1424-8220The fog layer provides substantial benefits in cloud-based IoT applications because it can serve as an aggregation layer and it moves the computation resources nearer to the IoT devices; however, it is important to ensure adequate performance is achieved in such applications, as the devices usually communicate frequently and authenticate with the cloud. This can cause performance and availability issues, which can be dangerous in critical applications such as in the healthcare sector. In this paper, we analyze the efficacy of the fog layer in different architectures in a real-world environment by examining performance metrics for the cloud and fog layers using different numbers of IoT devices. We also implement the fog layer using two methods to determine whether different fog implementation frameworks can affect the performance. The results show that including a fog layer with semi-heavyweight computation capability results in higher capital costs, although the in the long run resources, time, and money are saved. This study can serve as a reference for fundamental fog computing concepts. It can also be used to walk practitioners through different implementation frameworks of fog-aided IoT and to show tradeoffs in order to inform when to use each implementation framework based on one’s objectives.Mohammed A. AleisaAbdullah AbuhusseinFaisal S. AlsubaeiFrederick T. SheldonMDPI AGarticleInternet of Thingsperformance analysisfog computingcloud computingperformance metricsbenchmarkingChemical technologyTP1-1185ENSensors, Vol 21, Iss 6950, p 6950 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Internet of Things performance analysis fog computing cloud computing performance metrics benchmarking Chemical technology TP1-1185
spellingShingle	Internet of Things performance analysis fog computing cloud computing performance metrics benchmarking Chemical technology TP1-1185 Mohammed A. Aleisa Abdullah Abuhussein Faisal S. Alsubaei Frederick T. Sheldon Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
description	The fog layer provides substantial benefits in cloud-based IoT applications because it can serve as an aggregation layer and it moves the computation resources nearer to the IoT devices; however, it is important to ensure adequate performance is achieved in such applications, as the devices usually communicate frequently and authenticate with the cloud. This can cause performance and availability issues, which can be dangerous in critical applications such as in the healthcare sector. In this paper, we analyze the efficacy of the fog layer in different architectures in a real-world environment by examining performance metrics for the cloud and fog layers using different numbers of IoT devices. We also implement the fog layer using two methods to determine whether different fog implementation frameworks can affect the performance. The results show that including a fog layer with semi-heavyweight computation capability results in higher capital costs, although the in the long run resources, time, and money are saved. This study can serve as a reference for fundamental fog computing concepts. It can also be used to walk practitioners through different implementation frameworks of fog-aided IoT and to show tradeoffs in order to inform when to use each implementation framework based on one’s objectives.
format	article
author	Mohammed A. Aleisa Abdullah Abuhussein Faisal S. Alsubaei Frederick T. Sheldon
author_facet	Mohammed A. Aleisa Abdullah Abuhussein Faisal S. Alsubaei Frederick T. Sheldon
author_sort	Mohammed A. Aleisa
title	Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
title_short	Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
title_full	Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
title_fullStr	Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
title_full_unstemmed	Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment
title_sort	examining the performance of fog-aided, cloud-centered iot in a real-world environment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/68215538438b47e2a4f0caa7af53e4a8
work_keys_str_mv	AT mohammedaaleisa examiningtheperformanceoffogaidedcloudcenterediotinarealworldenvironment AT abdullahabuhussein examiningtheperformanceoffogaidedcloudcenterediotinarealworldenvironment AT faisalsalsubaei examiningtheperformanceoffogaidedcloudcenterediotinarealworldenvironment AT fredericktsheldon examiningtheperformanceoffogaidedcloudcenterediotinarealworldenvironment
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Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment

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