Data management for cloud supported cooperative driving

Detalhes bibliográficos
Autor(a) principal: Lourenço, Miguel Ângelo Luís
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/48328
Resumo: Tese de mestrado, Engenharia Informática (Arquitetura, Sistemas e Redes de Computadores) Universidade de Lisboa, Faculdade de Ciências, 2020
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spelling Data management for cloud supported cooperative drivingGestão de dadosMemória PartilhadaNuvemTempo RealCondução AutónomaTeses de mestrado - 2020Departamento de InformáticaTese de mestrado, Engenharia Informática (Arquitetura, Sistemas e Redes de Computadores) Universidade de Lisboa, Faculdade de Ciências, 2020The increasing number of technologies inserted into vehicles, allowed the common user to have access to a broad number of utilities that allows driving to be easier, safer and more economical. ABS, GPS, Bluetooth and onboard computer are some of the technologies associated with a recent vehicle. On more experimental ones there is obstacle detection, automatic braking and self-driving technologies, which can be supported by a wireless network connection to further improve their capabilities. That connection allows the transformation of each independent vehicle into nodes in an ad-hoc network. The current challenge is to connect all those vehicles and be able to provide the data needed for their correct functioning in a timely manner. That is the challenge this dissertation will seek to analyse: the possibility to create a reliable vehicular information system for cooperative driving based on the cloud. Cloud-based storage can support an ever changing number of vehicles while still satisfying scalability requirements and maintaining ease of access without the need to maintain a physical infrastructure, as that responsibility is laid upon the provider. To understand which service is the best to host the vehicular information system it was analyzed three services from Amazon Web Services (AWS): S3, EC2 and DynamoDB. Ease of utility, latency, scalability and cost were the main requirements tested as they are the most important aspects for a real-time vehicular information system for autonomous vehicles. After deciding which cloud service would be the most appropriate to implement the vehicular information system, two client models were created that fulfilled a set of requirements. They were based in an already existing algorithm named Two-Step Full Replication which utilizes a group of Key-Value Stores services from various clouds to simulate a shared-memory based on multi-writer, multi-reader (MWMR) registers. This algorithm tolerates Byzantine faults by using Byzantine quorum techniques and integrity and authenticity checks. It was defined and implemented the necessary changes on the algorithm to create usable a client for a vehicular information system. The first model called ”Atomic Snapshot Client”, uses the modified Two-Step Full Replication interface with the Atomic Snapshot algorithm. This model guarantees that the read of the system (snapshot) is done atomically without being adulterated by concurrent writes, sacrificing execution latency. The second model is a faster version of the first one with the objective of obtaining faster responses from the system without overly sacrificing data consistency, which is called ”Fast Snapshot Client”. The main change from the first one is the reduction of the guarantees of the atomic registers to regular ones making the reads (scan) and writes (update) simpler and faster, although removing the atomic snapshot feature. With the analysis of the data collected from experiments performed with this model it was possible to observe a relation between the increase of the scan latency time and the total time spent on the execution of the read and write operations on an application with various clients. To solve this problem a simple garbage collector was implemented, which cleans each register when the number of outdated writes that it contains goes over a specified threshold. This solution, although simple, proved to be effective to reduce each scan time. Finally, a vehicular information system based on the AWS S3 service was implemented. It is composed by two types of clients based on the Fast Snapshot Client, named vehicular client and calculator client. The two types of client work together, where the vehicular clients trade information with the calculator. The calculator client scans the registers of the vehicle clients and writes on its registers the processed data for each vehicular client. The vehicle clients need to write all the relevant data they gather and read the register of their respective calculator client and act according to the data read. Each of the clients was tested separately and analysed in order to discuss the viability of this system in a real-world application as well as possible changes to further improve it.Costa, António Casimiro Ferreira da, 1968-Bessani, Alysson Neves, 1978-Repositório da Universidade de LisboaLourenço, Miguel Ângelo Luís2021-06-04T11:53:45Z202020202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/48328TID:202605574enginfo: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:RCAAP2023-11-08T16:51:40Zoai:repositorio.ul.pt:10451/48328Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:00:14.350117Repositório 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 Data management for cloud supported cooperative driving
title Data management for cloud supported cooperative driving
spellingShingle Data management for cloud supported cooperative driving
Lourenço, Miguel Ângelo Luís
Gestão de dados
Memória Partilhada
Nuvem
Tempo Real
Condução Autónoma
Teses de mestrado - 2020
Departamento de Informática
title_short Data management for cloud supported cooperative driving
title_full Data management for cloud supported cooperative driving
title_fullStr Data management for cloud supported cooperative driving
title_full_unstemmed Data management for cloud supported cooperative driving
title_sort Data management for cloud supported cooperative driving
author Lourenço, Miguel Ângelo Luís
author_facet Lourenço, Miguel Ângelo Luís
author_role author
dc.contributor.none.fl_str_mv Costa, António Casimiro Ferreira da, 1968-
Bessani, Alysson Neves, 1978-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Lourenço, Miguel Ângelo Luís
dc.subject.por.fl_str_mv Gestão de dados
Memória Partilhada
Nuvem
Tempo Real
Condução Autónoma
Teses de mestrado - 2020
Departamento de Informática
topic Gestão de dados
Memória Partilhada
Nuvem
Tempo Real
Condução Autónoma
Teses de mestrado - 2020
Departamento de Informática
description Tese de mestrado, Engenharia Informática (Arquitetura, Sistemas e Redes de Computadores) Universidade de Lisboa, Faculdade de Ciências, 2020
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020-01-01T00:00:00Z
2021-06-04T11:53:45Z
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 http://hdl.handle.net/10451/48328
TID:202605574
url http://hdl.handle.net/10451/48328
identifier_str_mv TID:202605574
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)
collection 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
repository.mail.fl_str_mv
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