Building a Scalable Near Real-Time IoT System

Detalhes bibliográficos
Autor(a) principal: Costa, Pedro Miguel Domingos da
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/99227
Resumo: Relatório Final de Estágio do Mestrado em Engenharia Informática apresentado à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
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spelling Building a Scalable Near Real-Time IoT SystemCloud ComputingInternet of ThingsStream ProcessingDistributed SystemsRelatório Final de Estágio do Mestrado em Engenharia Informática apresentado à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.All Food Industry and retail companies in Europe are required to comply with strict regulatory demands[1] that are essential to the safety of consumers. The regulations require constant monitoring of all refrigeration systems, which often is resource intensive and unreliable if done manually. These companies also rely on fridges and refrigerated cabinets to store key business assets, and malfunctions could incur severe financial losses. While big enterprises already have solutions for cold chain monitoring, the small and medium sized businesses do not, due to complex installation processes, bad user experience, lack of information or elevated costs. Qold is a cold chain monitoring system being developed by Whitesmith to improve the way SME’s operate. It combines custom sensors with clean and simple web and mobile applications. Qold uses a network of devices to measure temperature values and report them to a cloud server. This data can be immediately consulted by clients and is analyzed to detect undesirable situations which are promptly reported, preventing possible damages. At the start of the internship, a minimum viable product (MVP) had been developed and deployed to early adopters. The product had been validated and a new system needed be developed, taking into account scalability concerns. The objective of this internship is the architectural design and implementation of a new system that builds on the MVP and meets the requirements of a system ready to tackle the European market.2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/99227http://hdl.handle.net/10316/99227engCosta, Pedro Miguel Domingos dainfo: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:RCAAP2022-03-09T23:12:50Zoai:estudogeral.uc.pt:10316/99227Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:16:53.341209Repositório 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 Building a Scalable Near Real-Time IoT System
title Building a Scalable Near Real-Time IoT System
spellingShingle Building a Scalable Near Real-Time IoT System
Costa, Pedro Miguel Domingos da
Cloud Computing
Internet of Things
Stream Processing
Distributed Systems
title_short Building a Scalable Near Real-Time IoT System
title_full Building a Scalable Near Real-Time IoT System
title_fullStr Building a Scalable Near Real-Time IoT System
title_full_unstemmed Building a Scalable Near Real-Time IoT System
title_sort Building a Scalable Near Real-Time IoT System
author Costa, Pedro Miguel Domingos da
author_facet Costa, Pedro Miguel Domingos da
author_role author
dc.contributor.author.fl_str_mv Costa, Pedro Miguel Domingos da
dc.subject.por.fl_str_mv Cloud Computing
Internet of Things
Stream Processing
Distributed Systems
topic Cloud Computing
Internet of Things
Stream Processing
Distributed Systems
description Relatório Final de Estágio do Mestrado em Engenharia Informática apresentado à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
publishDate 2016
dc.date.none.fl_str_mv 2016
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dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/99227
http://hdl.handle.net/10316/99227
url http://hdl.handle.net/10316/99227
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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