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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

FORESAM-FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds

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Pereira, Rickson [1] ; Boukerche, Azzedine [2] ; da Silva, Marco A. C. [3] ; Nakamura, V, Luis H. ; Freitas, Heitor [4] ; Filho, Geraldo P. Rocha [5] ; Meneguette, I, Rodolfo
Total Authors: 7
[1] Sao Paulo State Univ UNESP, Dept Comp Sci, BR-15054000 Sao Jose Do Rio Preto - Brazil
[2] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K1N 6N5 - Canada
[3] I, Univ Sao Paulo, Inst Math & Comp Sci, BR-13566590 Sao Carlos - Brazil
[4] Sidia, Inst Sci & Technol, BR-69055035 Manaus, Amazonas - Brazil
[5] Univ Brasilia, Dept Comp Sci, BR-70910900 Brasilia, DF - Brazil
Total Affiliations: 5
Document type: Journal article
Source: SENSORS; v. 21, n. 15 AUG 2021.
Web of Science Citations: 0

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. (AU)

FAPESP's process: 20/07162-0 - Services for an intelligent transport system
Grantee:Rodolfo Ipolito Meneguette
Support Opportunities: Regular Research Grants