LockyCloudCore - CTT locker management infrastructure
| Main Author: | |
|---|---|
| Publication Date: | 2024 |
| Format: | Master thesis |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10400.21/21562 |
Summary: | Abstract The concept of Edge Computing came has a way to address the concerns related to the integration of Internet of Things (IoT) in a cloud service infrastructure, such as resource limitations, performance requirements, and data safety and privacy. For developers wanting to create a such an infrastructure, an analysis on how to perform this integration need to be made, from choosing which architecture to use in the system, to how it will be deployed, and how to optimize the data processing at the edge. Through the development of a management infrastructure for the CTT locker network, Locky, we demonstrate the factors that need to be taken into consideration when developing a distributed system with edge devices, as well as testing and comparing orchestration runtimes for edge devices. |
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LockyCloudCore - CTT locker management infrastructureCloudDistributed ComputingEdge ComputingOrchestrationMetric ExtractionNuvemComputação distribuidaComputação de bordaOrquestraçãoExtração de métricasAbstract The concept of Edge Computing came has a way to address the concerns related to the integration of Internet of Things (IoT) in a cloud service infrastructure, such as resource limitations, performance requirements, and data safety and privacy. For developers wanting to create a such an infrastructure, an analysis on how to perform this integration need to be made, from choosing which architecture to use in the system, to how it will be deployed, and how to optimize the data processing at the edge. Through the development of a management infrastructure for the CTT locker network, Locky, we demonstrate the factors that need to be taken into consideration when developing a distributed system with edge devices, as well as testing and comparing orchestration runtimes for edge devices.O conceito de Computação de Borda surgiu como uma forma de abordar as preocupações relacionadas à integração de Internet das Coisas (IoT) numa infraestrutura de serviços em nuvem, como limitações de recursos, requisitos de desempenho e a segurança e privacidade de dados. Para programadores que desejam criar tal infraestrutura, é necessário fazer uma análise de como realizar esta integração, desde a escolha de qual arquitetura utilizar no sistema, até como será orquestrado e como otimizar o processamento de dados na edge. Através do desenvolvimento de uma infraestrutura de gestão para a rede de cacifos CTT, Locky, demonstramos os fatores que se devem ter em consideração no desenvolvimento de um sistema distribuído com dispositivos IoT, bem como testamos e comparamos tempos de execução de soluções de orquestração para dispositivos IoT.Simão, José Manuel de Campos Lages GarciaDatia, Nuno Miguel SoaresRCIPLSeleiro, Miguel Moreira Lopes2025-02-21T10:48:00Z2024-122024-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.21/21562urn:tid:203794516enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T02:20:15Zoai:repositorio.ipl.pt:10400.21/21562Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:18:18.399618Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
LockyCloudCore - CTT locker management infrastructure |
| title |
LockyCloudCore - CTT locker management infrastructure |
| spellingShingle |
LockyCloudCore - CTT locker management infrastructure Seleiro, Miguel Moreira Lopes Cloud Distributed Computing Edge Computing Orchestration Metric Extraction Nuvem Computação distribuida Computação de borda Orquestração Extração de métricas |
| title_short |
LockyCloudCore - CTT locker management infrastructure |
| title_full |
LockyCloudCore - CTT locker management infrastructure |
| title_fullStr |
LockyCloudCore - CTT locker management infrastructure |
| title_full_unstemmed |
LockyCloudCore - CTT locker management infrastructure |
| title_sort |
LockyCloudCore - CTT locker management infrastructure |
| author |
Seleiro, Miguel Moreira Lopes |
| author_facet |
Seleiro, Miguel Moreira Lopes |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Simão, José Manuel de Campos Lages Garcia Datia, Nuno Miguel Soares RCIPL |
| dc.contributor.author.fl_str_mv |
Seleiro, Miguel Moreira Lopes |
| dc.subject.por.fl_str_mv |
Cloud Distributed Computing Edge Computing Orchestration Metric Extraction Nuvem Computação distribuida Computação de borda Orquestração Extração de métricas |
| topic |
Cloud Distributed Computing Edge Computing Orchestration Metric Extraction Nuvem Computação distribuida Computação de borda Orquestração Extração de métricas |
| description |
Abstract The concept of Edge Computing came has a way to address the concerns related to the integration of Internet of Things (IoT) in a cloud service infrastructure, such as resource limitations, performance requirements, and data safety and privacy. For developers wanting to create a such an infrastructure, an analysis on how to perform this integration need to be made, from choosing which architecture to use in the system, to how it will be deployed, and how to optimize the data processing at the edge. Through the development of a management infrastructure for the CTT locker network, Locky, we demonstrate the factors that need to be taken into consideration when developing a distributed system with edge devices, as well as testing and comparing orchestration runtimes for edge devices. |
| publishDate |
2024 |
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2024-12 2024-12-01T00:00:00Z 2025-02-21T10:48:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
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http://hdl.handle.net/10400.21/21562 urn:tid:203794516 |
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eng |
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openAccess |
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application/pdf |
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