Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/17536 |
Resumo: | Data traffic demand increases at a very fast pace in edge networking environments, with strict requisites on latency and throughput. To fulfil these requirements, among others, this paper proposes a fog storage system that incorporates mobile nodes as content providers. This fog storage system has a hybrid design because it does not only bring data closer to edge consumers but, as a novelty, it also incorporates in the system other relevant functional aspects. These novel aspects are the user data demand, the energy consumption, and the node distance. In this way, the decision whether to replicate data is based on an original edge service managed by an adaptive distance metric for node clustering. The adaptive distance is evaluated from several important system parameters like, distance from consumer to the data storage location, spatio-temporal data popularity, and the autonomy of each battery-powered node. Testbed results evidence that this flexible cluster-based proposal offers a more responsive data access to consumers, reduces core traffic, and depletes in a fair way the available battery energy of edge nodes. |
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Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularityEdge storageClusteringReplicationDistanceSpatio-temporal data popularityOffloadingEnergy awarenessData traffic demand increases at a very fast pace in edge networking environments, with strict requisites on latency and throughput. To fulfil these requirements, among others, this paper proposes a fog storage system that incorporates mobile nodes as content providers. This fog storage system has a hybrid design because it does not only bring data closer to edge consumers but, as a novelty, it also incorporates in the system other relevant functional aspects. These novel aspects are the user data demand, the energy consumption, and the node distance. In this way, the decision whether to replicate data is based on an original edge service managed by an adaptive distance metric for node clustering. The adaptive distance is evaluated from several important system parameters like, distance from consumer to the data storage location, spatio-temporal data popularity, and the autonomy of each battery-powered node. Testbed results evidence that this flexible cluster-based proposal offers a more responsive data access to consumers, reduces core traffic, and depletes in a fair way the available battery energy of edge nodes.Elsevier2019-03-08T15:08:15Z2020-03-04T00:00:00Z2019-01-01T00:00:00Z20192019-03-22T14:40:15Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/17536eng1084-804510.1016/j.jnca.2019.03.001Vales, R.Moura, J.Marinheiro, R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-25T17:32:25ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
title |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
spellingShingle |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity Vales, R. Edge storage Clustering Replication Distance Spatio-temporal data popularity Offloading Energy awareness |
title_short |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
title_full |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
title_fullStr |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
title_full_unstemmed |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
title_sort |
Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity |
author |
Vales, R. |
author_facet |
Vales, R. Moura, J. Marinheiro, R. |
author_role |
author |
author2 |
Moura, J. Marinheiro, R. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Vales, R. Moura, J. Marinheiro, R. |
dc.subject.por.fl_str_mv |
Edge storage Clustering Replication Distance Spatio-temporal data popularity Offloading Energy awareness |
topic |
Edge storage Clustering Replication Distance Spatio-temporal data popularity Offloading Energy awareness |
description |
Data traffic demand increases at a very fast pace in edge networking environments, with strict requisites on latency and throughput. To fulfil these requirements, among others, this paper proposes a fog storage system that incorporates mobile nodes as content providers. This fog storage system has a hybrid design because it does not only bring data closer to edge consumers but, as a novelty, it also incorporates in the system other relevant functional aspects. These novel aspects are the user data demand, the energy consumption, and the node distance. In this way, the decision whether to replicate data is based on an original edge service managed by an adaptive distance metric for node clustering. The adaptive distance is evaluated from several important system parameters like, distance from consumer to the data storage location, spatio-temporal data popularity, and the autonomy of each battery-powered node. Testbed results evidence that this flexible cluster-based proposal offers a more responsive data access to consumers, reduces core traffic, and depletes in a fair way the available battery energy of edge nodes. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-03-08T15:08:15Z 2019-01-01T00:00:00Z 2019 2019-03-22T14:40:15Z 2020-03-04T00:00:00Z |
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 |
http://hdl.handle.net/10071/17536 |
url |
http://hdl.handle.net/10071/17536 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1084-8045 10.1016/j.jnca.2019.03.001 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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1777303979784404992 |