Evaluation and optimization of a session-based middleware for data management
Autor(a) principal: | |
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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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137851032469504 |