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A survey on data stream, big data and real-time

Detalhes bibliográficos
Autor(a) principal: Gomes E.H.A.
Data de Publicação: 2019
Outros Autores: Plentz P.D.M., De Rolt C.R.*, Dantas M.A.R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Udesc
dARK ID: ark:/33523/001300000m4pn
Texto Completo: https://repositorio.udesc.br/handle/UDESC/5944
Resumo: Copyright © 2019 Inderscience Enterprises Ltd.Real-time concept is being widely used by a society that seeks to speed communications, decisions and their daily activities. Even though this term is not used with the necessary conceptual precision, it makes clear the importance that time exerts on computer systems. Nowadays, the big data scenario, this concept is important and used with different meanings, which can define failure or successful of applications. This article aims to present a systematic literature review on the topics of data stream, big data and real-time. For this, we developed a protocol revision in which were determined research questions, the search term, the search source and the inclusion and exclusion criteria of articles. After an extensive study, we classify the articles selected in seven categories according to real-time concept used. Finally, we present a discussion that shows that there is not convergence on real-time concepts in the big data literature.
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spelling A survey on data stream, big data and real-timeCopyright © 2019 Inderscience Enterprises Ltd.Real-time concept is being widely used by a society that seeks to speed communications, decisions and their daily activities. Even though this term is not used with the necessary conceptual precision, it makes clear the importance that time exerts on computer systems. Nowadays, the big data scenario, this concept is important and used with different meanings, which can define failure or successful of applications. This article aims to present a systematic literature review on the topics of data stream, big data and real-time. For this, we developed a protocol revision in which were determined research questions, the search term, the search source and the inclusion and exclusion criteria of articles. After an extensive study, we classify the articles selected in seven categories according to real-time concept used. Finally, we present a discussion that shows that there is not convergence on real-time concepts in the big data literature.2024-12-06T12:44:12Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlep. 143 - 1671470-950310.1504/IJNVO.2019.097631https://repositorio.udesc.br/handle/UDESC/5944ark:/33523/001300000m4pnInternational Journal of Networking and Virtual Organisations202Gomes E.H.A.Plentz P.D.M.De Rolt C.R.*Dantas M.A.R.engreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:49:16Zoai:repositorio.udesc.br:UDESC/5944Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:49:16Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv A survey on data stream, big data and real-time
title A survey on data stream, big data and real-time
spellingShingle A survey on data stream, big data and real-time
Gomes E.H.A.
title_short A survey on data stream, big data and real-time
title_full A survey on data stream, big data and real-time
title_fullStr A survey on data stream, big data and real-time
title_full_unstemmed A survey on data stream, big data and real-time
title_sort A survey on data stream, big data and real-time
author Gomes E.H.A.
author_facet Gomes E.H.A.
Plentz P.D.M.
De Rolt C.R.*
Dantas M.A.R.
author_role author
author2 Plentz P.D.M.
De Rolt C.R.*
Dantas M.A.R.
author2_role author
author
author
dc.contributor.author.fl_str_mv Gomes E.H.A.
Plentz P.D.M.
De Rolt C.R.*
Dantas M.A.R.
description Copyright © 2019 Inderscience Enterprises Ltd.Real-time concept is being widely used by a society that seeks to speed communications, decisions and their daily activities. Even though this term is not used with the necessary conceptual precision, it makes clear the importance that time exerts on computer systems. Nowadays, the big data scenario, this concept is important and used with different meanings, which can define failure or successful of applications. This article aims to present a systematic literature review on the topics of data stream, big data and real-time. For this, we developed a protocol revision in which were determined research questions, the search term, the search source and the inclusion and exclusion criteria of articles. After an extensive study, we classify the articles selected in seven categories according to real-time concept used. Finally, we present a discussion that shows that there is not convergence on real-time concepts in the big data literature.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024-12-06T12:44:12Z
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dc.identifier.uri.fl_str_mv 1470-9503
10.1504/IJNVO.2019.097631
https://repositorio.udesc.br/handle/UDESC/5944
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identifier_str_mv 1470-9503
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Networking and Virtual Organisations
20
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dc.format.none.fl_str_mv p. 143 - 167
dc.source.none.fl_str_mv reponame:Repositório Institucional da Udesc
instname:Universidade do Estado de Santa Catarina (UDESC)
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collection Repositório Institucional da Udesc
repository.name.fl_str_mv Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)
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