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Smart healthcare IoT applications based on fog computing: architecture, applications and challenges

The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of science and technology. The advent of Cloud technology for the first time allows providing systems infrastructure as a service, platform as a...

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Autores principales: Quy, Vu Khanh, Hau, Nguyen Van, Anh, Dang Van, Ngoc, Le Anh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595960/
https://www.ncbi.nlm.nih.gov/pubmed/34804767
http://dx.doi.org/10.1007/s40747-021-00582-9
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author Quy, Vu Khanh
Hau, Nguyen Van
Anh, Dang Van
Ngoc, Le Anh
author_facet Quy, Vu Khanh
Hau, Nguyen Van
Anh, Dang Van
Ngoc, Le Anh
author_sort Quy, Vu Khanh
collection PubMed
description The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of science and technology. The advent of Cloud technology for the first time allows providing systems infrastructure as a service, platform as a service and software as a service. Cloud technology has dominated healthcare information systems for decades now. However, one limitation of cloud-based applications is the high service response time. In some emergency scenarios, the control and monitoring of patient status, decision-making with related resources are limited such as hospital, ambulance, doctor, medical conditions in seconds and has a direct impact on the life of patients. To solve these challenges, optimal computing technologies have been proposed such as cloud computing, edge computing, and fog computing technologies. In this article, we make a comparison between computing technologies. Then, we present a common architectural framework based on fog computing for Internet of Health Things (Fog-IoHT) applications. Besides, we also indicate possible applications and challenges in integrating fog computing into IoT Healthcare applications. The analysis results indicated that there is huge potential for IoHT applications based on fog computing. We hope, this study will be an important guide for the future development of fog-based Healthcare IoT applications.
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spelling pubmed-85959602021-11-17 Smart healthcare IoT applications based on fog computing: architecture, applications and challenges Quy, Vu Khanh Hau, Nguyen Van Anh, Dang Van Ngoc, Le Anh Complex Intell Systems Original Article The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of science and technology. The advent of Cloud technology for the first time allows providing systems infrastructure as a service, platform as a service and software as a service. Cloud technology has dominated healthcare information systems for decades now. However, one limitation of cloud-based applications is the high service response time. In some emergency scenarios, the control and monitoring of patient status, decision-making with related resources are limited such as hospital, ambulance, doctor, medical conditions in seconds and has a direct impact on the life of patients. To solve these challenges, optimal computing technologies have been proposed such as cloud computing, edge computing, and fog computing technologies. In this article, we make a comparison between computing technologies. Then, we present a common architectural framework based on fog computing for Internet of Health Things (Fog-IoHT) applications. Besides, we also indicate possible applications and challenges in integrating fog computing into IoT Healthcare applications. The analysis results indicated that there is huge potential for IoHT applications based on fog computing. We hope, this study will be an important guide for the future development of fog-based Healthcare IoT applications. Springer International Publishing 2021-11-17 2022 /pmc/articles/PMC8595960/ /pubmed/34804767 http://dx.doi.org/10.1007/s40747-021-00582-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Quy, Vu Khanh
Hau, Nguyen Van
Anh, Dang Van
Ngoc, Le Anh
Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
title Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
title_full Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
title_fullStr Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
title_full_unstemmed Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
title_short Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
title_sort smart healthcare iot applications based on fog computing: architecture, applications and challenges
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595960/
https://www.ncbi.nlm.nih.gov/pubmed/34804767
http://dx.doi.org/10.1007/s40747-021-00582-9
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