A novel fog-based resource allocation policy for vehicular clouds in the highway environment
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/LATINCOM48065.2019.8937912 http://hdl.handle.net/11449/221426 |
Resumo: | Vehicular networks has unique characteristics compared to other wireless networks, such as, highly dynamic topology, short transmission time, among others. These characteristics becomes a challenge for management and allocation of vehicle cloud resources. In this paper, we propose a allocatioN and mANgement resourCe policY for vehicular cloud, called of NANCY. For this, we formulate the problem of allocation of resources through the mathematical method Multiple Attribute Decision, which will decide whether NANCY will allocate the resources available to attend or not the service requested by the vehicle. Simulation results showed that NANCY provides a larger amount of service to be provided, providing a reduction in the number of service locks due to its accuracy, as well as a reduction in the amount of services discarded due to its load balancing in resource allocation. |
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Repositório Institucional da UNESP |
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A novel fog-based resource allocation policy for vehicular clouds in the highway environmentfogresource allocationvehicular cloudVehicular networks has unique characteristics compared to other wireless networks, such as, highly dynamic topology, short transmission time, among others. These characteristics becomes a challenge for management and allocation of vehicle cloud resources. In this paper, we propose a allocatioN and mANgement resourCe policY for vehicular cloud, called of NANCY. For this, we formulate the problem of allocation of resources through the mathematical method Multiple Attribute Decision, which will decide whether NANCY will allocate the resources available to attend or not the service requested by the vehicle. Simulation results showed that NANCY provides a larger amount of service to be provided, providing a reduction in the number of service locks due to its accuracy, as well as a reduction in the amount of services discarded due to its load balancing in resource allocation.Sao Paulo State UniversityFederal Institute of Sao Paulo (IFSP)Faculty of Technology Science and Education (FATECE)Institute of Computing University of Campinas (UNICAMP)Federal University of Pará (UFPA)Sao Paulo State UniversityUniversidade Estadual Paulista (UNESP)Federal Institute of Sao Paulo (IFSP)Science and Education (FATECE)Universidade Estadual de Campinas (UNICAMP)Universidade Federal do Pará (UFPA)Pereira, Rickson S. [UNESP]Lieira, Douglas D.Da Silva, Marco A.C. [UNESP]Pimenta, Adinovam H.M.Da Costa, Joahannes B.D.Rosario, DenisMeneguette, Rodolfo I.2022-04-28T19:28:27Z2022-04-28T19:28:27Z2019-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/LATINCOM48065.2019.8937912Proceedings - 2019 IEEE Latin-American Conference on Communications, LATINCOM 2019.http://hdl.handle.net/11449/22142610.1109/LATINCOM48065.2019.89379122-s2.0-85078093259Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - 2019 IEEE Latin-American Conference on Communications, LATINCOM 2019info:eu-repo/semantics/openAccess2022-04-28T19:28:28Zoai:repositorio.unesp.br:11449/221426Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:38:39.563324Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
title |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
spellingShingle |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment Pereira, Rickson S. [UNESP] fog resource allocation vehicular cloud |
title_short |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
title_full |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
title_fullStr |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
title_full_unstemmed |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
title_sort |
A novel fog-based resource allocation policy for vehicular clouds in the highway environment |
author |
Pereira, Rickson S. [UNESP] |
author_facet |
Pereira, Rickson S. [UNESP] Lieira, Douglas D. Da Silva, Marco A.C. [UNESP] Pimenta, Adinovam H.M. Da Costa, Joahannes B.D. Rosario, Denis Meneguette, Rodolfo I. |
author_role |
author |
author2 |
Lieira, Douglas D. Da Silva, Marco A.C. [UNESP] Pimenta, Adinovam H.M. Da Costa, Joahannes B.D. Rosario, Denis Meneguette, Rodolfo I. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Federal Institute of Sao Paulo (IFSP) Science and Education (FATECE) Universidade Estadual de Campinas (UNICAMP) Universidade Federal do Pará (UFPA) |
dc.contributor.author.fl_str_mv |
Pereira, Rickson S. [UNESP] Lieira, Douglas D. Da Silva, Marco A.C. [UNESP] Pimenta, Adinovam H.M. Da Costa, Joahannes B.D. Rosario, Denis Meneguette, Rodolfo I. |
dc.subject.por.fl_str_mv |
fog resource allocation vehicular cloud |
topic |
fog resource allocation vehicular cloud |
description |
Vehicular networks has unique characteristics compared to other wireless networks, such as, highly dynamic topology, short transmission time, among others. These characteristics becomes a challenge for management and allocation of vehicle cloud resources. In this paper, we propose a allocatioN and mANgement resourCe policY for vehicular cloud, called of NANCY. For this, we formulate the problem of allocation of resources through the mathematical method Multiple Attribute Decision, which will decide whether NANCY will allocate the resources available to attend or not the service requested by the vehicle. Simulation results showed that NANCY provides a larger amount of service to be provided, providing a reduction in the number of service locks due to its accuracy, as well as a reduction in the amount of services discarded due to its load balancing in resource allocation. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-01 2022-04-28T19:28:27Z 2022-04-28T19:28:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/LATINCOM48065.2019.8937912 Proceedings - 2019 IEEE Latin-American Conference on Communications, LATINCOM 2019. http://hdl.handle.net/11449/221426 10.1109/LATINCOM48065.2019.8937912 2-s2.0-85078093259 |
url |
http://dx.doi.org/10.1109/LATINCOM48065.2019.8937912 http://hdl.handle.net/11449/221426 |
identifier_str_mv |
Proceedings - 2019 IEEE Latin-American Conference on Communications, LATINCOM 2019. 10.1109/LATINCOM48065.2019.8937912 2-s2.0-85078093259 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings - 2019 IEEE Latin-American Conference on Communications, LATINCOM 2019 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129231120498688 |