A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10198/25230 |
Resumo: | The ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation. |
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A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systemsCyber-physical system designDistributed data analysisFuzzy recommendation systemThe ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation.This work was supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.IEEEBiblioteca Digital do IPBQueiroz, JonasLeitão, PauloOliveira, Eugénio2022-03-15T11:04:43Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/25230engQueiroz, Jonas; Leitao, Paulo; Oliveira, Eugenio (2022). A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems. IEEE Open Journal of the Industrial Electronics Society. ISSN 2644-1284. 3, p. 174-18710.1109/OJIES.2022.3152725info: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:RCAAP2023-11-21T10:56:22Zoai:bibliotecadigital.ipb.pt:10198/25230Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:15:53.315252Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
title |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
spellingShingle |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems Queiroz, Jonas Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
title_short |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
title_full |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
title_fullStr |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
title_full_unstemmed |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
title_sort |
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
author |
Queiroz, Jonas |
author_facet |
Queiroz, Jonas Leitão, Paulo Oliveira, Eugénio |
author_role |
author |
author2 |
Leitão, Paulo Oliveira, Eugénio |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Queiroz, Jonas Leitão, Paulo Oliveira, Eugénio |
dc.subject.por.fl_str_mv |
Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
topic |
Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
description |
The ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-15T11:04:43Z 2022 2022-01-01T00:00:00Z |
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/10198/25230 |
url |
http://hdl.handle.net/10198/25230 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Queiroz, Jonas; Leitao, Paulo; Oliveira, Eugenio (2022). A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems. IEEE Open Journal of the Industrial Electronics Society. ISSN 2644-1284. 3, p. 174-187 10.1109/OJIES.2022.3152725 |
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 |
IEEE |
publisher.none.fl_str_mv |
IEEE |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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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 |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799135442740707328 |