Multi-agent fog computing resource management model for critical healthcare applications

Fog computing is a fairly new distributed computing technique which expands the capabilities of cloud computing to the edge of the network. Fog servers operate as an intermediary between cloud data centres and end-user devices. One of the aims of fog computing is to increase performance and reduce t...

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Main Author:	Mutlag, Ammar Awad
Format:	Thesis
Language:	English English
Published:	2023
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://eprints.utem.edu.my/id/eprint/27721/1/Multi-agent%20fog%20computing%20resource%20management%20model%20for%20critical%20healthcare%20applications.pdf http://eprints.utem.edu.my/id/eprint/27721/2/Multi-agent%20fog%20computing%20resource%20management%20model%20for%20critical%20healthcare%20applications.pdf
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id	my-utem-ep.27721
record_format	uketd_dc
spelling	my-utem-ep.277212024-09-19T16:40:50Z Multi-agent fog computing resource management model for critical healthcare applications 2023 Mutlag, Ammar Awad Q Science (General) QA Mathematics Fog computing is a fairly new distributed computing technique which expands the capabilities of cloud computing to the edge of the network. Fog servers operate as an intermediary between cloud data centres and end-user devices. One of the aims of fog computing is to increase performance and reduce the amount of data being transferred to the cloud for processing, analyzing and storing. This approach allows the execution of a portion of a transaction at a fog server. However, cloud computing still suffers from resource management in healthcare application tasks. Critical healthcare application tasks require a quick response because it affects patients’ life. Fog computing is the best solution to get a fast response and less energy consumption. To significantly implement Fog computing, it’s paramount to manage the resources of Fog computing and develop interoperability among Fog and Cloud. Any modelling effort of Fog computing resource management, especially in healthcare applications, depends on scheduling the tasks which in turn involves three main factors; Load Balancing, Resource Availability, and Prioritization. Hence, the main contribution of this thesis is to develop a model of resource management that employ the aforementioned factors. From the literature, it is clear that the contribution of Multi-agent systems in scheduling is huge. In this thesis, the role of Multi-agent systems is to optimise critical healthcare tasks scheduling efficiently. The results have shown that the Multi-Agent Fog computing model (MAFCRMM) is very efficient in providing the fastest response for critical healthcare application tasks in terms of the number of energy consumption, instance cost, delay, and response time. 2023 Thesis http://eprints.utem.edu.my/id/eprint/27721/ http://eprints.utem.edu.my/id/eprint/27721/1/Multi-agent%20fog%20computing%20resource%20management%20model%20for%20critical%20healthcare%20applications.pdf text en public http://eprints.utem.edu.my/id/eprint/27721/2/Multi-agent%20fog%20computing%20resource%20management%20model%20for%20critical%20healthcare%20applications.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=123582 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Abd Ghani, Mohd Khanapi
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abd Ghani, Mohd Khanapi
topic	Q Science (General) QA Mathematics
spellingShingle	Q Science (General) QA Mathematics Mutlag, Ammar Awad Multi-agent fog computing resource management model for critical healthcare applications
description	Fog computing is a fairly new distributed computing technique which expands the capabilities of cloud computing to the edge of the network. Fog servers operate as an intermediary between cloud data centres and end-user devices. One of the aims of fog computing is to increase performance and reduce the amount of data being transferred to the cloud for processing, analyzing and storing. This approach allows the execution of a portion of a transaction at a fog server. However, cloud computing still suffers from resource management in healthcare application tasks. Critical healthcare application tasks require a quick response because it affects patients’ life. Fog computing is the best solution to get a fast response and less energy consumption. To significantly implement Fog computing, it’s paramount to manage the resources of Fog computing and develop interoperability among Fog and Cloud. Any modelling effort of Fog computing resource management, especially in healthcare applications, depends on scheduling the tasks which in turn involves three main factors; Load Balancing, Resource Availability, and Prioritization. Hence, the main contribution of this thesis is to develop a model of resource management that employ the aforementioned factors. From the literature, it is clear that the contribution of Multi-agent systems in scheduling is huge. In this thesis, the role of Multi-agent systems is to optimise critical healthcare tasks scheduling efficiently. The results have shown that the Multi-Agent Fog computing model (MAFCRMM) is very efficient in providing the fastest response for critical healthcare application tasks in terms of the number of energy consumption, instance cost, delay, and response time.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mutlag, Ammar Awad
author_facet	Mutlag, Ammar Awad
author_sort	Mutlag, Ammar Awad
title	Multi-agent fog computing resource management model for critical healthcare applications
title_short	Multi-agent fog computing resource management model for critical healthcare applications
title_full	Multi-agent fog computing resource management model for critical healthcare applications
title_fullStr	Multi-agent fog computing resource management model for critical healthcare applications
title_full_unstemmed	Multi-agent fog computing resource management model for critical healthcare applications
title_sort	multi-agent fog computing resource management model for critical healthcare applications
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2023
url	http://eprints.utem.edu.my/id/eprint/27721/1/Multi-agent%20fog%20computing%20resource%20management%20model%20for%20critical%20healthcare%20applications.pdf http://eprints.utem.edu.my/id/eprint/27721/2/Multi-agent%20fog%20computing%20resource%20management%20model%20for%20critical%20healthcare%20applications.pdf
_version_	1811771879389659136

Multi-agent fog computing resource management model for critical healthcare applications

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