Computational resource allocation in fog computing : a comprehensive survey
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UnB |
Texto Completo: | http://repositorio2.unb.br/jspui/handle/10482/48111 https://doi.org/10.1145/3586181 |
Resumo: | Fog computing is a paradigm that allows the provisioning of computational resources and services at the edge of the network, closer to the end devices and users, complementing cloud computing. The heterogeneity and large number of devices are challenges to obtaining optimized resource allocation in this environment. Over time, some surveys have been presented on resource management in fog computing. However, they now lack a broader and deeper view about this subject, considering the recent publications. This article presents a systematic literature review with a focus on resource allocation for fog computing, and in a more comprehensive way than the existing works. The survey is based on 108 selected publications from 2012 to 2022. The analysis has exposed their main techniques, metrics used, evaluation tools, virtualization methods, architecture, and domains where the proposed solutions were applied. The results show an updated and comprehensive view about resource allocation in fog computing. The main challenges and open research questions are discussed, and a new fog computing resource management cycle is proposed. |
id |
UNB_6b66e427014d26a3cc35eb3e9b56c0c5 |
---|---|
oai_identifier_str |
oai:repositorio.unb.br:10482/48111 |
network_acronym_str |
UNB |
network_name_str |
Repositório Institucional da UnB |
repository_id_str |
|
spelling |
Computational resource allocation in fog computing : a comprehensive surveyComputação em nuvemAlocação de recursosFog computing is a paradigm that allows the provisioning of computational resources and services at the edge of the network, closer to the end devices and users, complementing cloud computing. The heterogeneity and large number of devices are challenges to obtaining optimized resource allocation in this environment. Over time, some surveys have been presented on resource management in fog computing. However, they now lack a broader and deeper view about this subject, considering the recent publications. This article presents a systematic literature review with a focus on resource allocation for fog computing, and in a more comprehensive way than the existing works. The survey is based on 108 selected publications from 2012 to 2022. The analysis has exposed their main techniques, metrics used, evaluation tools, virtualization methods, architecture, and domains where the proposed solutions were applied. The results show an updated and comprehensive view about resource allocation in fog computing. The main challenges and open research questions are discussed, and a new fog computing resource management cycle is proposed.Instituto de Ciências Exatas (IE)Departamento de Ciência da Computação (IE CIC)Programa de Pós-Graduação em Informáticathe Association for Computing Machinery2024-05-21T15:50:37Z2024-05-21T15:50:37Z2023-07-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBACHIEGA JUNIOR, João et al. Computational resource allocation in fog computing : a comprehensive survey. ACM Computing Surveys, v. 55, n. 14s, art. 336, 2023. DOI: https://doi.org/10.1145/3586181. Disponível em: https://dl.acm.org/doi/10.1145/3586181. Acesso em: 21 maio 2024.http://repositorio2.unb.br/jspui/handle/10482/48111https://doi.org/10.1145/3586181enghttps://dl.acm.org/doi/10.1145/3586181Bachiega Junior, JoãoCosta, Breno Gustavo Soares daCarvalho, Leonardo Rebouças deRosa, Michel Junio FerreiraAraújo, Aletéia Patrícia Favacho deinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNB2024-07-01T09:52:27Zoai:repositorio.unb.br:10482/48111Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2024-07-01T09:52:27Repositório Institucional da UnB - Universidade de Brasília (UnB)false |
dc.title.none.fl_str_mv |
Computational resource allocation in fog computing : a comprehensive survey |
title |
Computational resource allocation in fog computing : a comprehensive survey |
spellingShingle |
Computational resource allocation in fog computing : a comprehensive survey Bachiega Junior, João Computação em nuvem Alocação de recursos |
title_short |
Computational resource allocation in fog computing : a comprehensive survey |
title_full |
Computational resource allocation in fog computing : a comprehensive survey |
title_fullStr |
Computational resource allocation in fog computing : a comprehensive survey |
title_full_unstemmed |
Computational resource allocation in fog computing : a comprehensive survey |
title_sort |
Computational resource allocation in fog computing : a comprehensive survey |
author |
Bachiega Junior, João |
author_facet |
Bachiega Junior, João Costa, Breno Gustavo Soares da Carvalho, Leonardo Rebouças de Rosa, Michel Junio Ferreira Araújo, Aletéia Patrícia Favacho de |
author_role |
author |
author2 |
Costa, Breno Gustavo Soares da Carvalho, Leonardo Rebouças de Rosa, Michel Junio Ferreira Araújo, Aletéia Patrícia Favacho de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Bachiega Junior, João Costa, Breno Gustavo Soares da Carvalho, Leonardo Rebouças de Rosa, Michel Junio Ferreira Araújo, Aletéia Patrícia Favacho de |
dc.subject.por.fl_str_mv |
Computação em nuvem Alocação de recursos |
topic |
Computação em nuvem Alocação de recursos |
description |
Fog computing is a paradigm that allows the provisioning of computational resources and services at the edge of the network, closer to the end devices and users, complementing cloud computing. The heterogeneity and large number of devices are challenges to obtaining optimized resource allocation in this environment. Over time, some surveys have been presented on resource management in fog computing. However, they now lack a broader and deeper view about this subject, considering the recent publications. This article presents a systematic literature review with a focus on resource allocation for fog computing, and in a more comprehensive way than the existing works. The survey is based on 108 selected publications from 2012 to 2022. The analysis has exposed their main techniques, metrics used, evaluation tools, virtualization methods, architecture, and domains where the proposed solutions were applied. The results show an updated and comprehensive view about resource allocation in fog computing. The main challenges and open research questions are discussed, and a new fog computing resource management cycle is proposed. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-17 2024-05-21T15:50:37Z 2024-05-21T15:50:37Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
BACHIEGA JUNIOR, João et al. Computational resource allocation in fog computing : a comprehensive survey. ACM Computing Surveys, v. 55, n. 14s, art. 336, 2023. DOI: https://doi.org/10.1145/3586181. Disponível em: https://dl.acm.org/doi/10.1145/3586181. Acesso em: 21 maio 2024. http://repositorio2.unb.br/jspui/handle/10482/48111 https://doi.org/10.1145/3586181 |
identifier_str_mv |
BACHIEGA JUNIOR, João et al. Computational resource allocation in fog computing : a comprehensive survey. ACM Computing Surveys, v. 55, n. 14s, art. 336, 2023. DOI: https://doi.org/10.1145/3586181. Disponível em: https://dl.acm.org/doi/10.1145/3586181. Acesso em: 21 maio 2024. |
url |
http://repositorio2.unb.br/jspui/handle/10482/48111 https://doi.org/10.1145/3586181 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://dl.acm.org/doi/10.1145/3586181 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
the Association for Computing Machinery |
publisher.none.fl_str_mv |
the Association for Computing Machinery |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
instname_str |
Universidade de Brasília (UnB) |
instacron_str |
UNB |
institution |
UNB |
reponame_str |
Repositório Institucional da UnB |
collection |
Repositório Institucional da UnB |
repository.name.fl_str_mv |
Repositório Institucional da UnB - Universidade de Brasília (UnB) |
repository.mail.fl_str_mv |
repositorio@unb.br |
_version_ |
1814508338987139072 |