An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications

Descripción del Articulo

This work has been partially funded by the Spanish Ministry of Science, Innovation and Universities (ref. RTI2018-098156-B-C52), by the Research Plan of the University of Castilla-La Mancha (ref. 2019-GRIN-27060), and by FONDECYT / World Bank (ref. 026-2019 FONDECYT-BM-INC.INV).
Detalles Bibliográficos
Autores: Mondragón-Ruiz G., Tenorio-Trigoso A., Castillo-Cara M., Caminero B., Carrión C.
Formato: artículo
Fecha de Publicación:2021
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2967
Enlace del recurso:https://hdl.handle.net/20.500.12390/2967
https://doi.org/10.1186/s13677-021-00245-7
Nivel de acceso:acceso abierto
Materia:Real-Time IoT Applications
Benchmark Analysis
Cloud Computing
Complex Event Processing
Edge Computing
Fog Computing
https://purl.org/pe-repo/ocde/ford#2.02.04
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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
title An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
spellingShingle An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
Mondragón-Ruiz G.
Real-Time IoT Applications
Benchmark Analysis
Cloud Computing
Complex Event Processing
Edge Computing
Fog Computing
https://purl.org/pe-repo/ocde/ford#2.02.04
title_short An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
title_full An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
title_fullStr An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
title_full_unstemmed An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
title_sort An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
author Mondragón-Ruiz G.
author_facet Mondragón-Ruiz G.
Tenorio-Trigoso A.
Castillo-Cara M.
Caminero B.
Carrión C.
author_role author
author2 Tenorio-Trigoso A.
Castillo-Cara M.
Caminero B.
Carrión C.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mondragón-Ruiz G.
Tenorio-Trigoso A.
Castillo-Cara M.
Caminero B.
Carrión C.
dc.subject.none.fl_str_mv Real-Time IoT Applications
topic Real-Time IoT Applications
Benchmark Analysis
Cloud Computing
Complex Event Processing
Edge Computing
Fog Computing
https://purl.org/pe-repo/ocde/ford#2.02.04
dc.subject.es_PE.fl_str_mv Benchmark Analysis
Cloud Computing
Complex Event Processing
Edge Computing
Fog Computing
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.04
description This work has been partially funded by the Spanish Ministry of Science, Innovation and Universities (ref. RTI2018-098156-B-C52), by the Research Plan of the University of Castilla-La Mancha (ref. 2019-GRIN-27060), and by FONDECYT / World Bank (ref. 026-2019 FONDECYT-BM-INC.INV).
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2967
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1186/s13677-021-00245-7
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85107544135
url https://hdl.handle.net/20.500.12390/2967
https://doi.org/10.1186/s13677-021-00245-7
identifier_str_mv 2-s2.0-85107544135
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Journal of Cloud Computing
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
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spelling Publicationrp08401600rp02468600rp01248600rp08402600rp08403600Mondragón-Ruiz G.Tenorio-Trigoso A.Castillo-Cara M.Caminero B.Carrión C.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/2967https://doi.org/10.1186/s13677-021-00245-72-s2.0-85107544135This work has been partially funded by the Spanish Ministry of Science, Innovation and Universities (ref. RTI2018-098156-B-C52), by the Research Plan of the University of Castilla-La Mancha (ref. 2019-GRIN-27060), and by FONDECYT / World Bank (ref. 026-2019 FONDECYT-BM-INC.INV).Internet of Things (IoT) has posed new requirements to the underlying processing architecture, specially for real-time applications, such as event-detection services. Complex Event Processing (CEP) engines provide a powerful tool to implement these services. Fog computing has raised as a solution to support IoT real-time applications, in contrast to the Cloud-based approach. This work is aimed at analysing a CEP-based Fog architecture for real-time IoT applications that uses a publish-subscribe protocol. A testbed has been developed with low-cost and local resources to verify the suitability of CEP-engines to low-cost computing resources. To assess performance we have analysed the effectiveness and cost of the proposal in terms of latency and resource usage, respectively. Results show that the fog computing architecture reduces event-detection latencies up to 35%, while the available computing resources are being used more efficiently, when compared to a Cloud deployment. Performance evaluation also identifies the communication between the CEP-engine and the final users as the most time consuming component of latency. Moreover, the latency analysis concludes that the time required by CEP-engine is related to the compute resources, but is nonlinear dependent of the number of things connected. © 2021, The Author(s).Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengSpringer Science and Business Media Deutschland GmbHJournal of Cloud Computinginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Real-Time IoT ApplicationsBenchmark Analysis-1Cloud Computing-1Complex Event Processing-1Edge Computing-1Fog Computing-1https://purl.org/pe-repo/ocde/ford#2.02.04-1An experimental study of fog and cloud computing in CEP-based Real-Time IoT applicationsinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2967oai:repositorio.concytec.gob.pe:20.500.12390/29672024-05-30 16:12:36.685https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="cb614993-814f-4301-9d6f-61ba0712ea41"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications</Title> <PublishedIn> <Publication> <Title>Journal of Cloud Computing</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <DOI>https://doi.org/10.1186/s13677-021-00245-7</DOI> <SCP-Number>2-s2.0-85107544135</SCP-Number> <Authors> <Author> <DisplayName>Mondragón-Ruiz G.</DisplayName> <Person id="rp08401" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Tenorio-Trigoso A.</DisplayName> <Person id="rp02468" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Castillo-Cara M.</DisplayName> <Person id="rp01248" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Caminero B.</DisplayName> <Person id="rp08402" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Carrión C.</DisplayName> <Person id="rp08403" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Springer Science and Business Media Deutschland GmbH</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Real-Time IoT Applications</Keyword> <Keyword>Benchmark Analysis</Keyword> <Keyword>Cloud Computing</Keyword> <Keyword>Complex Event Processing</Keyword> <Keyword>Edge Computing</Keyword> <Keyword>Fog Computing</Keyword> <Abstract>Internet of Things (IoT) has posed new requirements to the underlying processing architecture, specially for real-time applications, such as event-detection services. Complex Event Processing (CEP) engines provide a powerful tool to implement these services. Fog computing has raised as a solution to support IoT real-time applications, in contrast to the Cloud-based approach. This work is aimed at analysing a CEP-based Fog architecture for real-time IoT applications that uses a publish-subscribe protocol. A testbed has been developed with low-cost and local resources to verify the suitability of CEP-engines to low-cost computing resources. To assess performance we have analysed the effectiveness and cost of the proposal in terms of latency and resource usage, respectively. Results show that the fog computing architecture reduces event-detection latencies up to 35%, while the available computing resources are being used more efficiently, when compared to a Cloud deployment. Performance evaluation also identifies the communication between the CEP-engine and the final users as the most time consuming component of latency. Moreover, the latency analysis concludes that the time required by CEP-engine is related to the compute resources, but is nonlinear dependent of the number of things connected. © 2021, The Author(s).</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.451642
An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
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