Performance evaluation of a fog computing solution for smart health environments

Detalhes bibliográficos
Autor(a) principal: Vilela, Pedro Henrique
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da INATEL
Texto Completo: https://tede.inatel.br:8080/tede/handle/tede/191
Resumo: Cloud computing has been a predominant approach for the development of Internet of Things (IoT) solutions. However, to meet the requirements of real-time and latencysensitive applications in healthcare, a new computing paradigm that follows a cloud computing approach, called fog computing, demonstrates to be an effective tool by extending the cloud resources to the edge of the network. This work studies the contribution of the fog computing paradigm applied to healthcare, highlighting its main benefits regarding latency, network usage, and power consumption. Based on these parameters, a fog-assisted health monitoring system is proposed, and its performance evaluation and demonstration are carried out. The results demonstrate the potential enhancement of this approach in minimising data traffic in the core of the network because data is locally analysed. Further, it improves security and privacy of sensitive health information, once the data is kept in the local premises.
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spelling Rodrigues, Joel Jos?? Puga Coelho2907270080464933http://lattes.cnpq.br/2907270080464933Rodrigues, Jos?? Joel Puga Coelho2907270080464933http://lattes.cnpq.br/2907270080464933Gondim, Paulo Roberto de Lira9868233765380165http://lattes.cnpq.br/9868233765380165Salazar, Jorge Ricardo Mejia8482888848002303http://lattes.cnpq.br/84828888480023030664778456864133http://lattes.cnpq.br/0664778456864133Vilela, Pedro Henrique2019-10-08T14:05:28Z2019-08-12Vilela, Pedro Henrique. Performance evaluation of a fog computing solution for smart health environments. 2019. [84]. Disserta????o( Mestrado em Engenharia de Telecomunica????es) - Instituto Nacional de Telecomunica????es, [Santa Rita do Sapuca?? - MG] .https://tede.inatel.br:8080/tede/handle/tede/191Cloud computing has been a predominant approach for the development of Internet of Things (IoT) solutions. However, to meet the requirements of real-time and latencysensitive applications in healthcare, a new computing paradigm that follows a cloud computing approach, called fog computing, demonstrates to be an effective tool by extending the cloud resources to the edge of the network. This work studies the contribution of the fog computing paradigm applied to healthcare, highlighting its main benefits regarding latency, network usage, and power consumption. Based on these parameters, a fog-assisted health monitoring system is proposed, and its performance evaluation and demonstration are carried out. The results demonstrate the potential enhancement of this approach in minimising data traffic in the core of the network because data is locally analysed. Further, it improves security and privacy of sensitive health information, once the data is kept in the local premises.A computa????o em nuvem tem sido uma abordagem predominante para o desenvolvimento de solu????es de Internet das Coisas. No entanto, para atender aos requisitos de aplica????es em tempo real e sens??veis ?? lat??ncia nos servi??os de sa??de, um novo paradigma de computa????o que segue uma abordagem da computa????o em nuvem, chamado de computa????o em nevoeiro ou em ingl??s como ?? mais conhecido, fog computing, demonstra ser uma ferramenta eficaz estendendo os recursos da nuvem at?? a borda da rede. Este trabalho apresenta a contribui????o do paradigma da computa????o em nevoeiro aplicada ao sistema de sa??de, destacando seus principais benef??cios em rela????o ?? lat??ncia, uso da rede e consumo de energia. Com base nestes par??metros, um sistema de monitoramento de sa??de baseado na computa????o em nevoeiro ?? proposto, e sua avalia????o de desempenho ?? apresentada atrav??s do desenvolvimento de um prot??tipo. Os resultados exprimem o potencial aprimoramento dessa abordagem na minimiza????o do tr??fego de dados no core da rede, uma vez que os dados s??o analisados localmente. Al??m disso, h?? uma melhora na seguran??a e privacidade de informa????es confidenciais do sistema de sa??de, j?? que os dados s??o mantidos nas instala????es locais.Submitted by Tede Dspace (tede@inatel.br) on 2019-10-08T14:05:28Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Performance Evaluation of a Fog Computing Solution for Smart Health Environments.pdf: 2943352 bytes, checksum: 60f31b0a2d300f960f5d106664e806ef (MD5)Made available in DSpace on 2019-10-08T14:05:28Z (GMT). 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dc.title.por.fl_str_mv Performance evaluation of a fog computing solution for smart health environments
title Performance evaluation of a fog computing solution for smart health environments
spellingShingle Performance evaluation of a fog computing solution for smart health environments
Vilela, Pedro Henrique
Computa????o de borda; Computa????o em nevoeiro; Computa????o em nuvem; Cuidados da sa??de; Internet das coisas
Cloud computing; Edge computing; Fog computing; Healthcare; Internet of things
Engenharia - Telecomunica????es
title_short Performance evaluation of a fog computing solution for smart health environments
title_full Performance evaluation of a fog computing solution for smart health environments
title_fullStr Performance evaluation of a fog computing solution for smart health environments
title_full_unstemmed Performance evaluation of a fog computing solution for smart health environments
title_sort Performance evaluation of a fog computing solution for smart health environments
author Vilela, Pedro Henrique
author_facet Vilela, Pedro Henrique
author_role author
dc.contributor.advisor1.fl_str_mv Rodrigues, Joel Jos?? Puga Coelho
dc.contributor.advisor1ID.fl_str_mv 2907270080464933
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2907270080464933
dc.contributor.referee1.fl_str_mv Rodrigues, Jos?? Joel Puga Coelho
dc.contributor.referee1ID.fl_str_mv 2907270080464933
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/2907270080464933
dc.contributor.referee2.fl_str_mv Gondim, Paulo Roberto de Lira
dc.contributor.referee2ID.fl_str_mv 9868233765380165
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/9868233765380165
dc.contributor.referee3.fl_str_mv Salazar, Jorge Ricardo Mejia
dc.contributor.referee3ID.fl_str_mv 8482888848002303
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/8482888848002303
dc.contributor.authorID.fl_str_mv 0664778456864133
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0664778456864133
dc.contributor.author.fl_str_mv Vilela, Pedro Henrique
contributor_str_mv Rodrigues, Joel Jos?? Puga Coelho
Rodrigues, Jos?? Joel Puga Coelho
Gondim, Paulo Roberto de Lira
Salazar, Jorge Ricardo Mejia
dc.subject.por.fl_str_mv Computa????o de borda; Computa????o em nevoeiro; Computa????o em nuvem; Cuidados da sa??de; Internet das coisas
topic Computa????o de borda; Computa????o em nevoeiro; Computa????o em nuvem; Cuidados da sa??de; Internet das coisas
Cloud computing; Edge computing; Fog computing; Healthcare; Internet of things
Engenharia - Telecomunica????es
dc.subject.eng.fl_str_mv Cloud computing; Edge computing; Fog computing; Healthcare; Internet of things
dc.subject.cnpq.fl_str_mv Engenharia - Telecomunica????es
description Cloud computing has been a predominant approach for the development of Internet of Things (IoT) solutions. However, to meet the requirements of real-time and latencysensitive applications in healthcare, a new computing paradigm that follows a cloud computing approach, called fog computing, demonstrates to be an effective tool by extending the cloud resources to the edge of the network. This work studies the contribution of the fog computing paradigm applied to healthcare, highlighting its main benefits regarding latency, network usage, and power consumption. Based on these parameters, a fog-assisted health monitoring system is proposed, and its performance evaluation and demonstration are carried out. The results demonstrate the potential enhancement of this approach in minimising data traffic in the core of the network because data is locally analysed. Further, it improves security and privacy of sensitive health information, once the data is kept in the local premises.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-10-08T14:05:28Z
dc.date.issued.fl_str_mv 2019-08-12
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dc.identifier.citation.fl_str_mv Vilela, Pedro Henrique. Performance evaluation of a fog computing solution for smart health environments. 2019. [84]. Disserta????o( Mestrado em Engenharia de Telecomunica????es) - Instituto Nacional de Telecomunica????es, [Santa Rita do Sapuca?? - MG] .
dc.identifier.uri.fl_str_mv https://tede.inatel.br:8080/tede/handle/tede/191
identifier_str_mv Vilela, Pedro Henrique. Performance evaluation of a fog computing solution for smart health environments. 2019. [84]. Disserta????o( Mestrado em Engenharia de Telecomunica????es) - Instituto Nacional de Telecomunica????es, [Santa Rita do Sapuca?? - MG] .
url https://tede.inatel.br:8080/tede/handle/tede/191
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dc.publisher.program.fl_str_mv Mestrado em Engenharia de Telecomunica????es
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publisher.none.fl_str_mv Instituto Nacional de Telecomunica????es
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