Foresam—fog paradigm-based resource allocation mechanism for vehicular clouds

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Ottawa-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorFederal Institute of São Paulo (IFSP)-
Autor(es): dc.contributorInstitute of Science and Technology-
Autor(es): dc.contributorUniversity of Brasília-
Autor(es): dc.creatorPereira, Rickson [UNESP]-
Autor(es): dc.creatorBoukerche, Azzedine-
Autor(es): dc.creatorda Silva, Marco A. C.-
Autor(es): dc.creatorNakamura, Luis H. V.-
Autor(es): dc.creatorFreitas, Heitor-
Autor(es): dc.creatorRocha Filho, Geraldo P.-
Autor(es): dc.creatorMeneguette, Rodolfo I.-
Data de aceite: dc.date.accessioned2022-08-04T22:10:37Z-
Data de disponibilização: dc.date.available2022-08-04T22:10:37Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2021-08-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/s21155028-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/222033-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/222033-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionDepartment of Computer Science São Paulo State University—UNESP-
Descrição: dc.descriptionSchool of Electrical Engineering and Computer Science University of Ottawa-
Descrição: dc.descriptionInstitute of Mathematical and Computer Sciences University of São Paulo-
Descrição: dc.descriptionFederal Institute of São Paulo (IFSP)-
Descrição: dc.descriptionSidia Institute of Science and Technology-
Descrição: dc.descriptionDepartment of Computer Science University of Brasília-
Descrição: dc.descriptionDepartment of Computer Science São Paulo State University—UNESP-
Descrição: dc.descriptionFAPESP: 2020/07162-0-
Descrição: dc.descriptionCNPq: 309822/2018-1-
Descrição: dc.descriptionCNPq: 407248/2018-8-
Idioma: dc.languageen-
Relação: dc.relationSensors-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectIntelligent transportation systems-
Palavras-chave: dc.subjectMobile cloud-
Palavras-chave: dc.subjectResource allocation-
Palavras-chave: dc.subjectVehicular cloud-
Título: dc.titleForesam—fog paradigm-based resource allocation mechanism for vehicular clouds-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.