Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity

Detalhes bibliográficos
Autor(a) principal: Vales, R.
Data de Publicação: 2019
Outros Autores: Moura, J., Marinheiro, R.
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.
id RCAP_c8650a57f4d6c57951963475f7d535cd
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/17536
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str
spelling 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
repository.mail.fl_str_mv
_version_ 1777303979784404992