FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds
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 p...
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doaj-16d372cb628542d1b8c356d89ba0d40b2021-08-06T15:31:13ZengMDPI AGSensors1424-82202021-07-01215028502810.3390/s21155028FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular CloudsRickson Pereira0Azzedine Boukerche1Marco A. C. da Silva2Luis H. V. Nakamura3Heitor Freitas4Geraldo P. Rocha Filho5Rodolfo I. Meneguette6Department of Computer Science, São Paulo State University—UNESP, São José do Rio Preto 15054-000, BrazilSchool of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, CanadaInstitute of Mathematical and Computer Sciences, University of São Paulo, São Carlos 13566-590, BrazilFederal Institute of São Paulo (IFSP), Araraquara 15808-305, BrazilSidia, Institute of Science and Technology, Manaus 69055-035, BrazilDepartment of Computer Science, University of Brasília, Distrito Federal, Brazilia 70910-900, BrazilInstitute of Mathematical and Computer Sciences, University of São Paulo, São Carlos 13566-590, BrazilThe 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.https://www.mdpi.com/1424-8220/21/15/5028intelligent transportation systemsmobile cloudresource allocationvehicular cloud |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rickson Pereira Azzedine Boukerche Marco A. C. da Silva Luis H. V. Nakamura Heitor Freitas Geraldo P. Rocha Filho Rodolfo I. Meneguette |
spellingShingle |
Rickson Pereira Azzedine Boukerche Marco A. C. da Silva Luis H. V. Nakamura Heitor Freitas Geraldo P. Rocha Filho Rodolfo I. Meneguette FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds Sensors intelligent transportation systems mobile cloud resource allocation vehicular cloud |
author_facet |
Rickson Pereira Azzedine Boukerche Marco A. C. da Silva Luis H. V. Nakamura Heitor Freitas Geraldo P. Rocha Filho Rodolfo I. Meneguette |
author_sort |
Rickson Pereira |
title |
FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds |
title_short |
FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds |
title_full |
FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds |
title_fullStr |
FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds |
title_full_unstemmed |
FORESAM—FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds |
title_sort |
foresam—fog paradigm-based resource allocation mechanism for vehicular clouds |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-07-01 |
description |
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. |
topic |
intelligent transportation systems mobile cloud resource allocation vehicular cloud |
url |
https://www.mdpi.com/1424-8220/21/15/5028 |
work_keys_str_mv |
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