An infrastructure model for smart cities based on big data
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da Udesc |
dARK ID: | ark:/33523/00130000067t8 |
Download full: | https://repositorio.udesc.br/handle/UDESC/6552 |
Summary: | Copyright © 2018 Inderscience Enterprises Ltd.The massive amount of data generated in projects focused on smart cities creates a degree of complexity in how to manage all this information. In attention to solve this problem, several approaches have been developed in recent years. In this paper we propose an infrastructure model for big data for a smart city project. The goal of this model is to present the stages for the processing of data in the steps of extraction, storage, processing and visualisation, as well as the types of tools needed for each phase. To implement our proposed model, we used the ParticipACT Brazil, which is a project based in smart cities. This project uses different databases to compose its big data and uses this data to solve urban problems. We observe that our model provides a structured vision of the software to be used in big data server of ParticipACT Brazil. |
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An infrastructure model for smart cities based on big dataCopyright © 2018 Inderscience Enterprises Ltd.The massive amount of data generated in projects focused on smart cities creates a degree of complexity in how to manage all this information. In attention to solve this problem, several approaches have been developed in recent years. In this paper we propose an infrastructure model for big data for a smart city project. The goal of this model is to present the stages for the processing of data in the steps of extraction, storage, processing and visualisation, as well as the types of tools needed for each phase. To implement our proposed model, we used the ParticipACT Brazil, which is a project based in smart cities. This project uses different databases to compose its big data and uses this data to solve urban problems. We observe that our model provides a structured vision of the software to be used in big data server of ParticipACT Brazil.2024-12-06T13:05:35Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlep. 322 - 3321741-848810.1504/IJGUC.2018.095435https://repositorio.udesc.br/handle/UDESC/6552ark:/33523/00130000067t8International Journal of Grid and Utility Computing94Gomes E.H.A.Dantas M.A.R.De Macedo D.D.J.De Rolt C.R.*Foschini L.Dias, Julio Da Silvaengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:51:19Zoai:repositorio.udesc.br:UDESC/6552Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:51:19Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false |
dc.title.none.fl_str_mv |
An infrastructure model for smart cities based on big data |
title |
An infrastructure model for smart cities based on big data |
spellingShingle |
An infrastructure model for smart cities based on big data Gomes E.H.A. |
title_short |
An infrastructure model for smart cities based on big data |
title_full |
An infrastructure model for smart cities based on big data |
title_fullStr |
An infrastructure model for smart cities based on big data |
title_full_unstemmed |
An infrastructure model for smart cities based on big data |
title_sort |
An infrastructure model for smart cities based on big data |
author |
Gomes E.H.A. |
author_facet |
Gomes E.H.A. Dantas M.A.R. De Macedo D.D.J. De Rolt C.R.* Foschini L. Dias, Julio Da Silva |
author_role |
author |
author2 |
Dantas M.A.R. De Macedo D.D.J. De Rolt C.R.* Foschini L. Dias, Julio Da Silva |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Gomes E.H.A. Dantas M.A.R. De Macedo D.D.J. De Rolt C.R.* Foschini L. Dias, Julio Da Silva |
description |
Copyright © 2018 Inderscience Enterprises Ltd.The massive amount of data generated in projects focused on smart cities creates a degree of complexity in how to manage all this information. In attention to solve this problem, several approaches have been developed in recent years. In this paper we propose an infrastructure model for big data for a smart city project. The goal of this model is to present the stages for the processing of data in the steps of extraction, storage, processing and visualisation, as well as the types of tools needed for each phase. To implement our proposed model, we used the ParticipACT Brazil, which is a project based in smart cities. This project uses different databases to compose its big data and uses this data to solve urban problems. We observe that our model provides a structured vision of the software to be used in big data server of ParticipACT Brazil. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2024-12-06T13:05:35Z |
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 |
1741-8488 10.1504/IJGUC.2018.095435 https://repositorio.udesc.br/handle/UDESC/6552 |
dc.identifier.dark.fl_str_mv |
ark:/33523/00130000067t8 |
identifier_str_mv |
1741-8488 10.1504/IJGUC.2018.095435 ark:/33523/00130000067t8 |
url |
https://repositorio.udesc.br/handle/UDESC/6552 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Grid and Utility Computing 9 4 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
p. 322 - 332 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Udesc instname:Universidade do Estado de Santa Catarina (UDESC) instacron:UDESC |
instname_str |
Universidade do Estado de Santa Catarina (UDESC) |
instacron_str |
UDESC |
institution |
UDESC |
reponame_str |
Repositório Institucional da Udesc |
collection |
Repositório Institucional da Udesc |
repository.name.fl_str_mv |
Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC) |
repository.mail.fl_str_mv |
ri@udesc.br |
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1842258092414205952 |