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FORESAM-FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds.
Pereira, Rickson; Boukerche, Azzedine; da Silva, Marco A C; Nakamura, Luis H V; Freitas, Heitor; Rocha Filho, Geraldo P; Meneguette, Rodolfo I.
Afiliação
  • Pereira R; Department of Computer Science, São Paulo State University-UNESP, São José do Rio Preto 15054-000, Brazil.
  • Boukerche A; School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
  • da Silva MAC; Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos 13566-590, Brazil.
  • Nakamura LHV; Federal Institute of São Paulo (IFSP), Araraquara 15808-305, Brazil.
  • Freitas H; Sidia, Institute of Science and Technology, Manaus 69055-035, Brazil.
  • Rocha Filho GP; Department of Computer Science, University of Brasília, Distrito Federal, Brazilia 70910-900, Brazil.
  • Meneguette RI; Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos 13566-590, Brazil.
Sensors (Basel) ; 21(15)2021 Jul 24.
Article em En | MEDLINE | ID: mdl-34372265
The 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Alocação de Recursos Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Alocação de Recursos Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça