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Simulation Tools for Fog Computing: A Comparative Analysis
Fog Computing (FC) was introduced to offer resources closer to the users. Researchers propose different solutions to make FC mature and use simulators for evaluating their solutions at early stages. In this paper, we compare different FC simulators based on their technical and non-technical characte...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099336/ https://www.ncbi.nlm.nih.gov/pubmed/37050551 http://dx.doi.org/10.3390/s23073492 |
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author | Fahimullah, Muhammad Philippe, Guillaume Ahvar, Shohreh Trocan, Maria |
author_facet | Fahimullah, Muhammad Philippe, Guillaume Ahvar, Shohreh Trocan, Maria |
author_sort | Fahimullah, Muhammad |
collection | PubMed |
description | Fog Computing (FC) was introduced to offer resources closer to the users. Researchers propose different solutions to make FC mature and use simulators for evaluating their solutions at early stages. In this paper, we compare different FC simulators based on their technical and non-technical characteristics. In addition, a practical comparison is conducted to compare the three main FC simulators based on their performance such as execution time, CPU, and memory usage for running different applications. The analysis can be helpful for researchers to select the appropriate simulator and platform to evaluate their solutions on different use cases. Furthermore, open issues and challenges for FC simulators are discussed that require attention and need to be addressed in the future. |
format | Online Article Text |
id | pubmed-10099336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100993362023-04-14 Simulation Tools for Fog Computing: A Comparative Analysis Fahimullah, Muhammad Philippe, Guillaume Ahvar, Shohreh Trocan, Maria Sensors (Basel) Article Fog Computing (FC) was introduced to offer resources closer to the users. Researchers propose different solutions to make FC mature and use simulators for evaluating their solutions at early stages. In this paper, we compare different FC simulators based on their technical and non-technical characteristics. In addition, a practical comparison is conducted to compare the three main FC simulators based on their performance such as execution time, CPU, and memory usage for running different applications. The analysis can be helpful for researchers to select the appropriate simulator and platform to evaluate their solutions on different use cases. Furthermore, open issues and challenges for FC simulators are discussed that require attention and need to be addressed in the future. MDPI 2023-03-27 /pmc/articles/PMC10099336/ /pubmed/37050551 http://dx.doi.org/10.3390/s23073492 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fahimullah, Muhammad Philippe, Guillaume Ahvar, Shohreh Trocan, Maria Simulation Tools for Fog Computing: A Comparative Analysis |
title | Simulation Tools for Fog Computing: A Comparative Analysis |
title_full | Simulation Tools for Fog Computing: A Comparative Analysis |
title_fullStr | Simulation Tools for Fog Computing: A Comparative Analysis |
title_full_unstemmed | Simulation Tools for Fog Computing: A Comparative Analysis |
title_short | Simulation Tools for Fog Computing: A Comparative Analysis |
title_sort | simulation tools for fog computing: a comparative analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099336/ https://www.ncbi.nlm.nih.gov/pubmed/37050551 http://dx.doi.org/10.3390/s23073492 |
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