Evaluation and optimization of a session-based middleware for data management

Detalhes bibliográficos
Autor(a) principal: Martins, Pedro Miguel Pereira Serrano
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/12609
Resumo: Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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spelling Evaluation and optimization of a session-based middleware for data managementSessionCloudBig dataDDDASCloud management providersJPADissertação para obtenção do Grau de Mestre em Engenharia InformáticaThe current massive daily production of data has created a non-precedent opportunity for information extraction in many domains. However, this huge rise in the quantities of generated data that needs to be processed, stored, and timely delivered, has created several new challenges. In an effort to attack these challenges [Dom13] proposed a middleware with the concept of a Session capable of dynamically aggregating, processing and disseminating large amounts of data to groups of clients, depending on their interests. However, this middleware is deployed on a commercial cloud with limited processing support in order to reduce its costs. Moreover, it does not explore the scalability and elasticity capabilities provided by the cloud infrastructure, which presents a problem even if the associated costs may not be a concern. This thesis proposes to improve the middleware’s performance and to add to it the capability of scaling when inside a cloud by requesting or dismissing additional instances. Additionally, this thesis also addresses the scalability and cost problems by exploring alternative deployment scenarios for the middleware, that consider free infrastructure providers and open-source cloud management providers. To achieve this, an extensive evaluation of the middleware’s architecture is performed using a profiling tool and several test applications. This information is then used to propose a set of solutions for the performance and scalability problems, and then a subset of these is implemented and tested again to evaluate the gained benefits.Faculdade de Ciências e TecnologiaGomes, Maria CecíliaPaulino, HervéRUNMartins, Pedro Miguel Pereira Serrano2014-07-28T09:37:55Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/12609enginfo: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:RCAAP2024-03-11T03:47:38Zoai:run.unl.pt:10362/12609Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:21:00.687997Repositório 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 Evaluation and optimization of a session-based middleware for data management
title Evaluation and optimization of a session-based middleware for data management
spellingShingle Evaluation and optimization of a session-based middleware for data management
Martins, Pedro Miguel Pereira Serrano
Session
Cloud
Big data
DDDAS
Cloud management providers
JPA
title_short Evaluation and optimization of a session-based middleware for data management
title_full Evaluation and optimization of a session-based middleware for data management
title_fullStr Evaluation and optimization of a session-based middleware for data management
title_full_unstemmed Evaluation and optimization of a session-based middleware for data management
title_sort Evaluation and optimization of a session-based middleware for data management
author Martins, Pedro Miguel Pereira Serrano
author_facet Martins, Pedro Miguel Pereira Serrano
author_role author
dc.contributor.none.fl_str_mv Gomes, Maria Cecília
Paulino, Hervé
RUN
dc.contributor.author.fl_str_mv Martins, Pedro Miguel Pereira Serrano
dc.subject.por.fl_str_mv Session
Cloud
Big data
DDDAS
Cloud management providers
JPA
topic Session
Cloud
Big data
DDDAS
Cloud management providers
JPA
description Dissertação para obtenção do Grau de Mestre em Engenharia Informática
publishDate 2014
dc.date.none.fl_str_mv 2014-07-28T09:37:55Z
2014
2014-01-01T00:00:00Z
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 http://hdl.handle.net/10362/12609
url http://hdl.handle.net/10362/12609
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.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.mail.fl_str_mv
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