Availability and performance analysis of private cloud storage services
Ano de defesa: | 2017 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | eng |
Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Informática Aplicada
|
Departamento: |
Departamento de Estatística e Informática
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7875 |
Resumo: | Cloud computing is a set of new practices, technologies and concepts that favor communication services and data storage. Services like OneDrive, Google Drive and DropBox increase data availability and provide new features as synchronization and collaboration. These services require high availability and performance characteristics like high throughput, since it is fundamental to guarantee both business continuity and uninterrupted public services. In this research, we aim at evaluating availability and performance-related metrics for private cloud storage services. A hierarchical model-based strategy is proposed to evaluate availability throughput and system utilization by means of the composition of continuous-time Markov chains (CTMC), reliability block diagrams (RBD) and stochastic Petri nets (SPN). Case studies are presented to illustrate the applicability of the proposed models through a cloud storage service hosted in the Eucalyptus platform. We also adopt availability importance index to identify the most critical components in relation to the system availability. Based on such an index, we propose scenarios considering different degrees of redundancy and, accordingly, the effect on overall system availability and performance is explored. The results demonstrate that the proposed strategy can be an attractive approach for identifying which components should be supported with redundancy in order to increase the overall system performance and availability. |
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CALLOU, Gustavo Rau de AlmeidaANDRADE, Ermeson Carneiro deALBUQUERQUE JÚNIOR, Gabriel Alves deTAVARES, Eduardo Antonio Guimaraeshttp://lattes.cnpq.br/0943345989607946TORRES, Elton Bezerra2019-03-11T14:59:09Z2017-08-23TORRES, Elton Bezerra. Availability and performance analysis of private cloud storage services. 2017. 77 f. Dissertação (Programa de Pós-Graduação em Informática Aplicada) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7875Cloud computing is a set of new practices, technologies and concepts that favor communication services and data storage. Services like OneDrive, Google Drive and DropBox increase data availability and provide new features as synchronization and collaboration. These services require high availability and performance characteristics like high throughput, since it is fundamental to guarantee both business continuity and uninterrupted public services. In this research, we aim at evaluating availability and performance-related metrics for private cloud storage services. A hierarchical model-based strategy is proposed to evaluate availability throughput and system utilization by means of the composition of continuous-time Markov chains (CTMC), reliability block diagrams (RBD) and stochastic Petri nets (SPN). Case studies are presented to illustrate the applicability of the proposed models through a cloud storage service hosted in the Eucalyptus platform. We also adopt availability importance index to identify the most critical components in relation to the system availability. Based on such an index, we propose scenarios considering different degrees of redundancy and, accordingly, the effect on overall system availability and performance is explored. The results demonstrate that the proposed strategy can be an attractive approach for identifying which components should be supported with redundancy in order to increase the overall system performance and availability.A computação em nuvem é um conjunto de novas práticas, tecnologias e conceitos que favorecem serviços de comunicação e armazenamento de dados. Serviços como OneDrive, Google Drive e DropBox aumentam a disponibilidade dos dados e proveem novas facilidades como sincronização e colaboração. Estes serviços requerem alta disponibilidade e características de desempenho, como alta vazão, que são fundamentais para garantir a continuidade dos negócios e a não interrupção dos serviços providos. Este trabalho tem como objetivo avaliar métricas de disponibilidade e desempenho para serviços de armazenamento em nuvem privada. Uma estratégia hierárquica baseada em modelos é proposta para avaliar tanto disponibilidade como o desempenho através da composição de Cadeias de Markov de Tempo Contínuo (CTMC), diagramas de blocos de confiabilidade (RBD) e redes de Petri estocásticas (SPN). Estudos de casos serão apresentados para ilustrar a aplicabilidade dos modelos propostos através de um serviço de armazenamento de arquivos em nuvem hospedado na plataforma Eucalyptus. Também é adotado o índice de importância da disponibilidade para identificar os componentes mais críticos com relação à disponibilidade do sistema. Levando em consideração esse índice, são propostos cenários considerando diferentes níveis de redundância e, consequentemente, o efeito sobre a disponibilidade e desempenho global do sistema é explorado. Os resultados demostram que a estratégia de modelagem proposta pode ser atraente para identificar quais componentes devem contar com redundância para aumentar o desempenho e a disponibilidade do sistema.Submitted by Mario BC (mario@bc.ufrpe.br) on 2019-03-11T14:59:09Z No. of bitstreams: 1 Elton Bezerra Torres.pdf: 1256099 bytes, checksum: ccb0e644a2b679f47ed0f47f1be7320f (MD5)Made available in DSpace on 2019-03-11T14:59:09Z (GMT). No. of bitstreams: 1 Elton Bezerra Torres.pdf: 1256099 bytes, checksum: ccb0e644a2b679f47ed0f47f1be7320f (MD5) Previous issue date: 2017-08-23application/pdfengUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Informática AplicadaUFRPEBrasilDepartamento de Estatística e InformáticaComputação em nuvemMétricas de disponibilidadeMétricas de desempenhoCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOAvailability and performance analysis of private cloud storage servicesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-8268485641417162699600600600-67745551403961205013671711205811204509info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALElton Bezerra Torres.pdfElton Bezerra Torres.pdfapplication/pdf1256099http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/7875/2/Elton+Bezerra+Torres.pdfccb0e644a2b679f47ed0f47f1be7320fMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/7875/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/78752019-03-11 11:59:09.397oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2019-03-11T14:59:09Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Availability and performance analysis of private cloud storage services |
title |
Availability and performance analysis of private cloud storage services |
spellingShingle |
Availability and performance analysis of private cloud storage services TORRES, Elton Bezerra Computação em nuvem Métricas de disponibilidade Métricas de desempenho CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
title_short |
Availability and performance analysis of private cloud storage services |
title_full |
Availability and performance analysis of private cloud storage services |
title_fullStr |
Availability and performance analysis of private cloud storage services |
title_full_unstemmed |
Availability and performance analysis of private cloud storage services |
title_sort |
Availability and performance analysis of private cloud storage services |
author |
TORRES, Elton Bezerra |
author_facet |
TORRES, Elton Bezerra |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
CALLOU, Gustavo Rau de Almeida |
dc.contributor.referee1.fl_str_mv |
ANDRADE, Ermeson Carneiro de |
dc.contributor.referee2.fl_str_mv |
ALBUQUERQUE JÚNIOR, Gabriel Alves de |
dc.contributor.referee3.fl_str_mv |
TAVARES, Eduardo Antonio Guimaraes |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/0943345989607946 |
dc.contributor.author.fl_str_mv |
TORRES, Elton Bezerra |
contributor_str_mv |
CALLOU, Gustavo Rau de Almeida ANDRADE, Ermeson Carneiro de ALBUQUERQUE JÚNIOR, Gabriel Alves de TAVARES, Eduardo Antonio Guimaraes |
dc.subject.por.fl_str_mv |
Computação em nuvem Métricas de disponibilidade Métricas de desempenho |
topic |
Computação em nuvem Métricas de disponibilidade Métricas de desempenho CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
description |
Cloud computing is a set of new practices, technologies and concepts that favor communication services and data storage. Services like OneDrive, Google Drive and DropBox increase data availability and provide new features as synchronization and collaboration. These services require high availability and performance characteristics like high throughput, since it is fundamental to guarantee both business continuity and uninterrupted public services. In this research, we aim at evaluating availability and performance-related metrics for private cloud storage services. A hierarchical model-based strategy is proposed to evaluate availability throughput and system utilization by means of the composition of continuous-time Markov chains (CTMC), reliability block diagrams (RBD) and stochastic Petri nets (SPN). Case studies are presented to illustrate the applicability of the proposed models through a cloud storage service hosted in the Eucalyptus platform. We also adopt availability importance index to identify the most critical components in relation to the system availability. Based on such an index, we propose scenarios considering different degrees of redundancy and, accordingly, the effect on overall system availability and performance is explored. The results demonstrate that the proposed strategy can be an attractive approach for identifying which components should be supported with redundancy in order to increase the overall system performance and availability. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017-08-23 |
dc.date.accessioned.fl_str_mv |
2019-03-11T14:59:09Z |
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.citation.fl_str_mv |
TORRES, Elton Bezerra. Availability and performance analysis of private cloud storage services. 2017. 77 f. Dissertação (Programa de Pós-Graduação em Informática Aplicada) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7875 |
identifier_str_mv |
TORRES, Elton Bezerra. Availability and performance analysis of private cloud storage services. 2017. 77 f. Dissertação (Programa de Pós-Graduação em Informática Aplicada) - Universidade Federal Rural de Pernambuco, Recife. |
url |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7875 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.program.fl_str_mv |
-8268485641417162699 |
dc.relation.confidence.fl_str_mv |
600 600 600 |
dc.relation.department.fl_str_mv |
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dc.relation.cnpq.fl_str_mv |
3671711205811204509 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural de Pernambuco |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Informática Aplicada |
dc.publisher.initials.fl_str_mv |
UFRPE |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Departamento de Estatística e Informática |
publisher.none.fl_str_mv |
Universidade Federal Rural de Pernambuco |
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