TRIAD: Whale Optimization Algorithm for 5G-IoT Resource Allocation Decision in Edge Computing

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInst Fed Sao Paulo IFSP Catanduva-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniv Fed Rio Grande do Norte UFRN-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorLieira, Douglas Dias-
Autor(es): dc.creatorQuessada, Matheus Sanches-
Autor(es): dc.creatorCristiani, Andre Luis-
Autor(es): dc.creatorImmich, Roger-
Autor(es): dc.creatorMeneguette, Rodolfo Ipolito-
Autor(es): dc.creatorRocha, A.-
Autor(es): dc.creatorGoncalves, R.-
Autor(es): dc.creatorPenalvo, F. G.-
Autor(es): dc.creatorMartins, J.-
Data de aceite: dc.date.accessioned2025-08-21T22:53:42Z-
Data de disponibilização: dc.date.available2025-08-21T22:53:42Z-
Data de envio: dc.date.issued2022-11-29-
Data de envio: dc.date.issued2022-11-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/237785-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/237785-
Descrição: dc.descriptionThe massive growth in the number of 5G-IoT devices circulating in the world has increased the demand for computing resources in recent years. That way, it is necessary to search for the development of new solutions or improvements to existing ones. Edge computing is one of the solutions that have been used to improve the care of these types of devices. In this work, we proposed a mechanism that uses the whale optimization algorithm for 5G-IoT resource allocation decision in edge computing (TRIAD). The TRIAD was compared with the Greedy and Reliable techniques, available in the literature. The results show that the proposed algorithm had excellent efficiency in the service of the devices, in addition to denying fewer requests and blocking fewer devices during the search. The TRIAD, in some situations of the simulation, served approximately 265% more services, denied 56% less requests and blocked 65% less services.-
Descrição: dc.descriptionUniv Estadual Paulista UNESP, DCCE, Sao Jose Do Rio Preto, SP, Brazil-
Descrição: dc.descriptionInst Fed Sao Paulo IFSP Catanduva, Sao Jose Do Rio Preto, SP, Brazil-
Descrição: dc.descriptionUniv Fed Sao Carlos UFSCar, Dept Comp, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUniv Fed Rio Grande do Norte UFRN, Inst Metropole Digital, Natal, RN, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Dept Sistemas Comp ICMC, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista UNESP, DCCE, Sao Jose Do Rio Preto, SP, Brazil-
Formato: dc.format6-
Idioma: dc.languagept_BR-
Publicador: dc.publisherIeee-
Relação: dc.relationProceedings Of 2021 16th Iberian Conference On Information Systems And Technologies (cisti'2021)-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectEdge computing-
Palavras-chave: dc.subjectInternet of things-
Palavras-chave: dc.subjectMeta-heuristic-
Palavras-chave: dc.subjectResource allocation-
Palavras-chave: dc.subjectWhale optimization algorithm-
Título: dc.titleTRIAD: Whale Optimization Algorithm for 5G-IoT Resource Allocation Decision in Edge Computing-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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