Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey

Today's intelligent computing environments, including the Internet of Things (IoT), Cloud Computing (CC), Fog Computing (FC), and Edge Computing (EC), allow many organizations worldwide to optimize their resource allocation regarding the quality of service and energy consumption. Due to the acu...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shahab Shamshirband, Javad Hassannataj Joloudari, Sahar Khanjani Shirkharkolaie, Sanaz Mojrian, Fatemeh Rahmani, Seyedakbar Mostafavi, Zulkefli Mansor
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	resource allocation internet of things cloud computing fog computing game theory models evolutionary optimization methods Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/676eb4d66f9c42f5bb6ec40a1f7158c7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:676eb4d66f9c42f5bb6ec40a1f7158c7
record_format	dspace
spelling	oai:doaj.org-article:676eb4d66f9c42f5bb6ec40a1f7158c72021-11-29T05:51:17ZGame theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey10.3934/mbe.20214531551-0018https://doaj.org/article/676eb4d66f9c42f5bb6ec40a1f7158c72021-10-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021453?viewType=HTMLhttps://doaj.org/toc/1551-0018Today's intelligent computing environments, including the Internet of Things (IoT), Cloud Computing (CC), Fog Computing (FC), and Edge Computing (EC), allow many organizations worldwide to optimize their resource allocation regarding the quality of service and energy consumption. Due to the acute conditions of utilizing resources by users and the real-time nature of the data, a comprehensive and integrated computing environment has not yet provided a robust and reliable capability for proper resource allocation. Although traditional resource allocation approaches in a low-capacity hardware resource system are efficient for small-scale resource providers, for a complex system in the conditions of dynamic computing resources and fierce competition in obtaining resources, they cannot develop and adaptively manage the conditions optimally. To optimize the resource allocation with minimal delay, low energy consumption, minimum computational complexity, high scalability, and better resource utilization efficiency, CC/FC/EC/IoT-based computing architectures should be designed intelligently. Therefore, the objective of this research is a comprehensive survey on resource allocation problems using computational intelligence-based evolutionary optimization and mathematical game theory approaches in different computing environments according to the latest scientific research achievements.Shahab ShamshirbandJavad Hassannataj JoloudariSahar Khanjani ShirkharkolaieSanaz MojrianFatemeh Rahmani Seyedakbar MostafaviZulkefli MansorAIMS Pressarticleresource allocationinternet of thingscloud computingfog computinggame theory modelsevolutionary optimization methodsBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9190-9232 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	resource allocation internet of things cloud computing fog computing game theory models evolutionary optimization methods Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	resource allocation internet of things cloud computing fog computing game theory models evolutionary optimization methods Biotechnology TP248.13-248.65 Mathematics QA1-939 Shahab Shamshirband Javad Hassannataj Joloudari Sahar Khanjani Shirkharkolaie Sanaz Mojrian Fatemeh Rahmani Seyedakbar Mostafavi Zulkefli Mansor Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
description	Today's intelligent computing environments, including the Internet of Things (IoT), Cloud Computing (CC), Fog Computing (FC), and Edge Computing (EC), allow many organizations worldwide to optimize their resource allocation regarding the quality of service and energy consumption. Due to the acute conditions of utilizing resources by users and the real-time nature of the data, a comprehensive and integrated computing environment has not yet provided a robust and reliable capability for proper resource allocation. Although traditional resource allocation approaches in a low-capacity hardware resource system are efficient for small-scale resource providers, for a complex system in the conditions of dynamic computing resources and fierce competition in obtaining resources, they cannot develop and adaptively manage the conditions optimally. To optimize the resource allocation with minimal delay, low energy consumption, minimum computational complexity, high scalability, and better resource utilization efficiency, CC/FC/EC/IoT-based computing architectures should be designed intelligently. Therefore, the objective of this research is a comprehensive survey on resource allocation problems using computational intelligence-based evolutionary optimization and mathematical game theory approaches in different computing environments according to the latest scientific research achievements.
format	article
author	Shahab Shamshirband Javad Hassannataj Joloudari Sahar Khanjani Shirkharkolaie Sanaz Mojrian Fatemeh Rahmani Seyedakbar Mostafavi Zulkefli Mansor
author_facet	Shahab Shamshirband Javad Hassannataj Joloudari Sahar Khanjani Shirkharkolaie Sanaz Mojrian Fatemeh Rahmani Seyedakbar Mostafavi Zulkefli Mansor
author_sort	Shahab Shamshirband
title	Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
title_short	Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
title_full	Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
title_fullStr	Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
title_full_unstemmed	Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
title_sort	game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: a survey
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/676eb4d66f9c42f5bb6ec40a1f7158c7
work_keys_str_mv	AT shahabshamshirband gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey AT javadhassannatajjoloudari gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey AT saharkhanjanishirkharkolaie gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey AT sanazmojrian gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey AT fatemehrahmani gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey AT seyedakbarmostafavi gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey AT zulkeflimansor gametheoryandevolutionaryoptimizationapproachesappliedtoresourceallocationproblemsincomputingenvironmentsasurvey
_version_	1718407588743217152

Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey

Ejemplares similares