Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.

Rapid technological development has revolutionized the industrial sector. Internet of Things (IoT) started to appear in many fields, such as health care and smart cities. A few years later, IoT was supported by industry, leading to what is called Industry 4.0. In this paper, a cloud-assisted fog-net...

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Autores principales:	Rabab Farouk Abdel-Kader, Noha Emad El-Sayad, Rawya Yehia Rizk
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/20b2dd8b82264908af0833cd53e755cf
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spelling	oai:doaj.org-article:20b2dd8b82264908af0833cd53e755cf2021-12-02T20:07:12ZEfficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.1932-620310.1371/journal.pone.0252756https://doaj.org/article/20b2dd8b82264908af0833cd53e755cf2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252756https://doaj.org/toc/1932-6203Rapid technological development has revolutionized the industrial sector. Internet of Things (IoT) started to appear in many fields, such as health care and smart cities. A few years later, IoT was supported by industry, leading to what is called Industry 4.0. In this paper, a cloud-assisted fog-networking architecture is implemented in an IoT environment with a three-layer network. An efficient energy and completion time for dependent task computation offloading (ET-DTCO) algorithm is proposed, and it considers two quality-of-service (QoS) parameters: efficient energy and completion time offloading for dependent tasks in Industry 4.0. The proposed solution employs the Firefly algorithm to optimize the process of the selection-offloading computing mode and determine the optimal solution for performing tasks locally or offloaded to a fog or cloud considering the task dependency. Moreover, the proposed algorithm is compared with existing techniques. Simulation results proved that the proposed ET-DTCO algorithm outperforms other offloading algorithms in minimizing energy consumption and completion time while enhancing the overall efficiency of the system.Rabab Farouk Abdel-KaderNoha Emad El-SayadRawya Yehia RizkPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252756 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rabab Farouk Abdel-Kader Noha Emad El-Sayad Rawya Yehia Rizk Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
description	Rapid technological development has revolutionized the industrial sector. Internet of Things (IoT) started to appear in many fields, such as health care and smart cities. A few years later, IoT was supported by industry, leading to what is called Industry 4.0. In this paper, a cloud-assisted fog-networking architecture is implemented in an IoT environment with a three-layer network. An efficient energy and completion time for dependent task computation offloading (ET-DTCO) algorithm is proposed, and it considers two quality-of-service (QoS) parameters: efficient energy and completion time offloading for dependent tasks in Industry 4.0. The proposed solution employs the Firefly algorithm to optimize the process of the selection-offloading computing mode and determine the optimal solution for performing tasks locally or offloaded to a fog or cloud considering the task dependency. Moreover, the proposed algorithm is compared with existing techniques. Simulation results proved that the proposed ET-DTCO algorithm outperforms other offloading algorithms in minimizing energy consumption and completion time while enhancing the overall efficiency of the system.
format	article
author	Rabab Farouk Abdel-Kader Noha Emad El-Sayad Rawya Yehia Rizk
author_facet	Rabab Farouk Abdel-Kader Noha Emad El-Sayad Rawya Yehia Rizk
author_sort	Rabab Farouk Abdel-Kader
title	Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
title_short	Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
title_full	Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
title_fullStr	Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
title_full_unstemmed	Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
title_sort	efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/20b2dd8b82264908af0833cd53e755cf
work_keys_str_mv	AT rababfaroukabdelkader efficientenergyandcompletiontimefordependenttaskcomputationoffloadingalgorithminindustry40 AT nohaemadelsayad efficientenergyandcompletiontimefordependenttaskcomputationoffloadingalgorithminindustry40 AT rawyayehiarizk efficientenergyandcompletiontimefordependenttaskcomputationoffloadingalgorithminindustry40
_version_	1718375289982025728

Efficient energy and completion time for dependent task computation offloading algorithm in industry 4.0.

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