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Universidade de Brasília
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dc.contributor.authorPereira, Rickson-
dc.contributor.authorBoukerche, Azzedine-
dc.contributor.authorSilva, Marco A. C. da-
dc.contributor.authorNakamura, Luis H. V.-
dc.contributor.authorFreitas, Heitor-
dc.contributor.authorRocha Filho, Geraldo P.-
dc.contributor.authorMeneguette, Rodolfo I.-
dc.date.accessioned2022-05-04T14:40:39Z-
dc.date.available2022-05-04T14:40:39Z-
dc.date.issued2021-
dc.identifier.citationPEREIRA, Rickson et al. FORESAM—FOG paradigm-based resource allocation mechanism for vehicular clouds. Sensors, v. 21, n. 15, 5028, 2021. DOI: https://doi.org/10.3390/s21155028. Disponível em: https://www.mdpi.com/1424-8220/21/15/5028. Acesso em: 4 maio 2022.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/43638-
dc.language.isoInglêspt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleFORESAM—FOG paradigm-based resource allocation mechanism for vehicular cloudspt_BR
dc.typeArtigopt_BR
dc.subject.keywordSistema de transportept_BR
dc.subject.keywordAlocação de recursospt_BR
dc.subject.keywordModelos matemáticospt_BR
dc.subject.keywordSistema inteligentept_BR
dc.rights.license(CC BY)pt_BR
dc.identifier.doihttps://doi.org/10.3390/s21155028pt_BR
dc.description.abstract1The Intelligent Transport Systems (ITS) has the objective quality of transportation improvement through transportation system monitoring and management and makes the trip more comfortable and safer for drivers and passengers. The mobile clouds can assist the ITS in handling the resource management problem. However, resource allocation management in an ITS is challenging due to vehicular network characteristics, such as high mobility and dynamic topology. With that in mind, we propose the FORESAM, a mechanism for resources management and allocation based on a set of FOGs which control vehicular cloud resources in the urban environment. The mechanism is based on a more accurate mathematical model (Multiple Attribute Decision), which aims to assist the allocation decision of resources set that meets the period requested service. The simulation results have shown that the proposed solution allows a higher number of services, reducing the number of locks of services with its accuracy. Furthermore, its resource allocation is more balanced the provided a smaller amount of discarded services.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4883-5675pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6080-7699pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6795-2768pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-2982-4006pt_BR
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