Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/132941 |
Resumo: | In recent years, Vehicular Edge Computing (VEC) has emerged as one solution to tackle the challenge of reliable and fast service provisioning of Vehicular Applications in Vehicular Networks and to accelerate the advent of Smart Vehicles. This paradigm consists of leveraging the ever-increasing computational and storage capabilities provided by the devices in the Network Edge, which are near to the end-users, in complement with the services provided by Cloud Computing. The exponential growth of information to process, the latency-sensitive nature of the vehicular applications and the high mobility of the vehicles, constitute considerable real-world challenges that need to be addressed for VEC to perform adequately. Thus, a need arises in devising better-performing methods to manage the backhaul Edge and network infrastructure to provide continuous service to vehicular clients. In the proposed thesis, we will study the State-of-the-Art on heuristics and other strategies to manage an infrastructure of Edge nodes where components of the computation of vehicular applications will be hosted, as a function of the Vehicle-to-Infrastructure communication Quality of Service and capacity and availability of the Edge nodes. As a result of this thesis, a new heuristic, or improvements over existing ones, is expected to be produced. We will conduct the development and test of these algorithms over a system world that uses the Manhattan grid topology. |
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Avaliação por Simulação de Aplicações Suportadas por Computação LimítrofeEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringIn recent years, Vehicular Edge Computing (VEC) has emerged as one solution to tackle the challenge of reliable and fast service provisioning of Vehicular Applications in Vehicular Networks and to accelerate the advent of Smart Vehicles. This paradigm consists of leveraging the ever-increasing computational and storage capabilities provided by the devices in the Network Edge, which are near to the end-users, in complement with the services provided by Cloud Computing. The exponential growth of information to process, the latency-sensitive nature of the vehicular applications and the high mobility of the vehicles, constitute considerable real-world challenges that need to be addressed for VEC to perform adequately. Thus, a need arises in devising better-performing methods to manage the backhaul Edge and network infrastructure to provide continuous service to vehicular clients. In the proposed thesis, we will study the State-of-the-Art on heuristics and other strategies to manage an infrastructure of Edge nodes where components of the computation of vehicular applications will be hosted, as a function of the Vehicle-to-Infrastructure communication Quality of Service and capacity and availability of the Edge nodes. As a result of this thesis, a new heuristic, or improvements over existing ones, is expected to be produced. We will conduct the development and test of these algorithms over a system world that uses the Manhattan grid topology.2020-07-212020-07-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/132941TID:202588297engAndré Cipriano de Sousainfo: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:RCAAP2023-11-29T13:04:26Zoai:repositorio-aberto.up.pt:10216/132941Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:33:06.317162Repositório 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 |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
title |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
spellingShingle |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe André Cipriano de Sousa Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
title_short |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
title_full |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
title_fullStr |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
title_full_unstemmed |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
title_sort |
Avaliação por Simulação de Aplicações Suportadas por Computação Limítrofe |
author |
André Cipriano de Sousa |
author_facet |
André Cipriano de Sousa |
author_role |
author |
dc.contributor.author.fl_str_mv |
André Cipriano de Sousa |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
description |
In recent years, Vehicular Edge Computing (VEC) has emerged as one solution to tackle the challenge of reliable and fast service provisioning of Vehicular Applications in Vehicular Networks and to accelerate the advent of Smart Vehicles. This paradigm consists of leveraging the ever-increasing computational and storage capabilities provided by the devices in the Network Edge, which are near to the end-users, in complement with the services provided by Cloud Computing. The exponential growth of information to process, the latency-sensitive nature of the vehicular applications and the high mobility of the vehicles, constitute considerable real-world challenges that need to be addressed for VEC to perform adequately. Thus, a need arises in devising better-performing methods to manage the backhaul Edge and network infrastructure to provide continuous service to vehicular clients. In the proposed thesis, we will study the State-of-the-Art on heuristics and other strategies to manage an infrastructure of Edge nodes where components of the computation of vehicular applications will be hosted, as a function of the Vehicle-to-Infrastructure communication Quality of Service and capacity and availability of the Edge nodes. As a result of this thesis, a new heuristic, or improvements over existing ones, is expected to be produced. We will conduct the development and test of these algorithms over a system world that uses the Manhattan grid topology. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-21 2020-07-21T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/132941 TID:202588297 |
url |
https://hdl.handle.net/10216/132941 |
identifier_str_mv |
TID:202588297 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799135641737363456 |