Dependability Assessment of NoSQL Engines

Bibliographic Details
Main Author: Ventura, Luís Filipe André
Publication Date: 2016
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/97372
Summary: Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Dependability Assessment of NoSQL EnginesNoSQL DatabasesDependability AssessmentFault InjectionDissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.NoSQL databases are the response to the sheer volume of data being generated, stored, and analyzed by modern users and applications. They see great usage in big data and real-time web applications as they are capable of both: extreme horizontal scaling, and storing data with less rigid structures than the ones used in relational DBMSes. NoSQL databases are known to sometimes compromise consistency in favor of availability, partition tolerance, and performance. Several studies have evaluated the performance of these databases, but their users also need to understand how they behave in the presence of faults and how to quantify the impact of those faults. As such, the main goal of this dissertation is to perform an experimental assessment of NoSQL databases. This work proposes an experimental methodology based on fault injection, an experimental procedure to implement the methodology, and three metrics based on dependability attributes, which can be used to evaluate the databases. A prototype for a tool, which implements the experimental procedure and automates the testing process, developed during the work is also presented. Lastly, an experimental campaign assessing three popular NoSQL engines was performed to demonstrate both the methodology and tool. The results of the experimental campaign show that many times, even in the presence of simple faults, the integrity of the data is a ected. They also show that each database handles the workloads and faults di erently, evidencing that users need to carefully select which solution to use in their systems.2016-09-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttps://hdl.handle.net/10316/97372https://hdl.handle.net/10316/97372engVentura, Luís Filipe Andréinfo: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:RCAAP2022-05-25T04:42:19Zoai:estudogeral.uc.pt:10316/97372Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:45:53.074506Repositórios 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 Dependability Assessment of NoSQL Engines
title Dependability Assessment of NoSQL Engines
spellingShingle Dependability Assessment of NoSQL Engines
Ventura, Luís Filipe André
NoSQL Databases
Dependability Assessment
Fault Injection
title_short Dependability Assessment of NoSQL Engines
title_full Dependability Assessment of NoSQL Engines
title_fullStr Dependability Assessment of NoSQL Engines
title_full_unstemmed Dependability Assessment of NoSQL Engines
title_sort Dependability Assessment of NoSQL Engines
author Ventura, Luís Filipe André
author_facet Ventura, Luís Filipe André
author_role author
dc.contributor.author.fl_str_mv Ventura, Luís Filipe André
dc.subject.por.fl_str_mv NoSQL Databases
Dependability Assessment
Fault Injection
topic NoSQL Databases
Dependability Assessment
Fault Injection
description Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-02
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/10316/97372
https://hdl.handle.net/10316/97372
url https://hdl.handle.net/10316/97372
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.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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