A framework for building component-based applications on a cloud computing platform for high performance computing services

Detalhes bibliográficos
Autor(a) principal: Jefferson de Carvalho Silva
Data de Publicação: 2016
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16543
Resumo: Developing High Performance Computing applications (HPC), which optimally access the available computing resources in a higher level of abstraction, is a challenge for many scientists. To address this problem, we present a proposal of a component computing cloud called HPC Shelf, where HPC applications perform and SAFe framework, a front-end aimed to create applications in HPC Shelf and the author's main contribution. SAFe is based on Scientific Workflows Management Systems (SWMS) projects and it allows the specification of computational solutions formed by components to solve problems specified by the expert user through a high level interface. For that purpose, it implements SAFeSWL, an architectural and orchestration description language for describing scientific worflows. Compared with other SWMS alternatives, besides rid expert users from concerns about the construction of parallel and efficient computational solutions from the components offered by the cloud, SAFe integrates itself to a system of contextual contracts which is aligned to a system of dynamic discovery (resolution) of components. In addition, SAFeSWL allows explicit control of life cycle stages (resolution, deployment, instantiation and execution) of components through embedded operators, aimed at optimizing the use of cloud resources and minimize the overall execution cost of computational solutions (workflows). Montage and Map/Reduce are the case studies that have been applied for demonstration, evaluation and validation of the particular features of SAFe in building HPC applications aimed to the HPC Shelf platform.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisA framework for building component-based applications on a cloud computing platform for high performance computing servicesUm arcabouÃo para a construÃÃo de aplicaÃÃes baseadas em componentes sobre uma plataforma de nuvem computacional para serviÃos de computaÃÃo de alto desempenho2016-02-29Francisco Heron de Carvalho Junior53945395372http://lattes.cnpq.br/4164818158160492Rossana Maria de Castro Andrade28783018387http://lattes.cnpq.br/9576713124661835Josà Maria da Silva Monteiro Filho52581616334http://lattes.cnpq.br/9790693300026949 Luis Manuel Dias Coelho Soares BarbosaNÃo temAntÃnio Tadeu Azevedo Gomes04466499705http://lattes.cnpq.br/832680396339407792242480391http://lattes.cnpq.br/0599735640120960Jefferson de Carvalho SilvaUniversidade Federal do CearÃPrograma de PÃs-GraduaÃÃo em CiÃncia da ComputaÃÃoUFCBRFluxo de trabalho ArcabouÃo ComputaÃÃo de alto desempenhoWorkflow Framework High Performance ComputingCIENCIA DA COMPUTACAODeveloping High Performance Computing applications (HPC), which optimally access the available computing resources in a higher level of abstraction, is a challenge for many scientists. To address this problem, we present a proposal of a component computing cloud called HPC Shelf, where HPC applications perform and SAFe framework, a front-end aimed to create applications in HPC Shelf and the author's main contribution. SAFe is based on Scientific Workflows Management Systems (SWMS) projects and it allows the specification of computational solutions formed by components to solve problems specified by the expert user through a high level interface. For that purpose, it implements SAFeSWL, an architectural and orchestration description language for describing scientific worflows. Compared with other SWMS alternatives, besides rid expert users from concerns about the construction of parallel and efficient computational solutions from the components offered by the cloud, SAFe integrates itself to a system of contextual contracts which is aligned to a system of dynamic discovery (resolution) of components. In addition, SAFeSWL allows explicit control of life cycle stages (resolution, deployment, instantiation and execution) of components through embedded operators, aimed at optimizing the use of cloud resources and minimize the overall execution cost of computational solutions (workflows). Montage and Map/Reduce are the case studies that have been applied for demonstration, evaluation and validation of the particular features of SAFe in building HPC applications aimed to the HPC Shelf platform. Desenvolver aplicaÃÃes de ComputaÃÃo de Alto Desempenho (CAD), que acessem os recursos computacionais disponÃveis de forma otimizada e em um nÃvel maior de abstraÃÃo, à um desafio para cientistas de diversos domÃnios. Esta Tese apresenta a proposta de uma nuvem de componentes chamada HPC Shelf, pano de fundo onde as aplicaÃÃes CAD executam, e o arcabouÃo SAFe, Front-End para criaÃÃo de aplicaÃÃes na HPC Shelf e contribuiÃÃo principal do autor. O SAFe toma como base o projeto de sistemas gerenciadores de workflows cientÃficos (SGWC), permitindo a implementaÃÃo de soluÃÃes computacionais baseadas em componentes para resolver os problemas especificados por meio de uma interface de nÃvel de abstraÃÃo mais alto. Para isso, foi desenvolvido o SAFeSWL, uma linguagem de descriÃÃo arquitetural e orquestraÃÃo de worflows cientÃficos. Comparado com outros SGWC, alÃm de livrar usuÃrios finais de preocupaÃÃes em relaÃÃo à construÃÃo de soluÃÃes computacionais paralelas e eficientes a partir dos componentes oferecidos pela nuvem, o SAFe faz uso de um sistema de contratos contextuais integrado a um sistema de descoberta (resoluÃÃo) dinÃmica de componentes. A linguagem SAFeSWL permite o controle explÃcito das etapas do ciclo de vida de um componente em execuÃÃo (resoluÃÃo, implantaÃÃo, instanciaÃÃo e execuÃÃo), atravÃs de operadores embutidos, a fim de otimizar o uso dos recursos da nuvem e minimizar os custos de sua utilizaÃÃo. Montage e Map/Reduce constituem os estudos de caso aplicados para demonstraÃÃo e avaliaÃÃo das propriedades originais do SAFe e do SAFeSWL na construÃÃo de aplicaÃÃes de CAD.CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superiorhttp://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16543application/pdfinfo:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Teses e Dissertações da UFCinstname:Universidade Federal do Cearáinstacron:UFC2019-01-21T11:30:04Zmail@mail.com -
dc.title.en.fl_str_mv A framework for building component-based applications on a cloud computing platform for high performance computing services
dc.title.alternative.pt.fl_str_mv Um arcabouÃo para a construÃÃo de aplicaÃÃes baseadas em componentes sobre uma plataforma de nuvem computacional para serviÃos de computaÃÃo de alto desempenho
title A framework for building component-based applications on a cloud computing platform for high performance computing services
spellingShingle A framework for building component-based applications on a cloud computing platform for high performance computing services
Jefferson de Carvalho Silva
Fluxo de trabalho
ArcabouÃo
ComputaÃÃo de alto desempenho
Workflow
Framework
High Performance Computing
CIENCIA DA COMPUTACAO
title_short A framework for building component-based applications on a cloud computing platform for high performance computing services
title_full A framework for building component-based applications on a cloud computing platform for high performance computing services
title_fullStr A framework for building component-based applications on a cloud computing platform for high performance computing services
title_full_unstemmed A framework for building component-based applications on a cloud computing platform for high performance computing services
title_sort A framework for building component-based applications on a cloud computing platform for high performance computing services
author Jefferson de Carvalho Silva
author_facet Jefferson de Carvalho Silva
author_role author
dc.contributor.advisor1.fl_str_mv Francisco Heron de Carvalho Junior
dc.contributor.advisor1ID.fl_str_mv 53945395372
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4164818158160492
dc.contributor.referee1.fl_str_mv Rossana Maria de Castro Andrade
dc.contributor.referee1ID.fl_str_mv 28783018387
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/9576713124661835
dc.contributor.referee2.fl_str_mv Josà Maria da Silva Monteiro Filho
dc.contributor.referee2ID.fl_str_mv 52581616334
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/9790693300026949
dc.contributor.referee3.fl_str_mv Luis Manuel Dias Coelho Soares Barbosa
dc.contributor.referee3Lattes.fl_str_mv NÃo tem
dc.contributor.referee4.fl_str_mv AntÃnio Tadeu Azevedo Gomes
dc.contributor.referee4ID.fl_str_mv 04466499705
dc.contributor.referee4Lattes.fl_str_mv http://lattes.cnpq.br/8326803963394077
dc.contributor.authorID.fl_str_mv 92242480391
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0599735640120960
dc.contributor.author.fl_str_mv Jefferson de Carvalho Silva
contributor_str_mv Francisco Heron de Carvalho Junior
Rossana Maria de Castro Andrade
Josà Maria da Silva Monteiro Filho
Luis Manuel Dias Coelho Soares Barbosa
AntÃnio Tadeu Azevedo Gomes
dc.subject.por.fl_str_mv Fluxo de trabalho
ArcabouÃo
ComputaÃÃo de alto desempenho
topic Fluxo de trabalho
ArcabouÃo
ComputaÃÃo de alto desempenho
Workflow
Framework
High Performance Computing
CIENCIA DA COMPUTACAO
dc.subject.eng.fl_str_mv Workflow
Framework
High Performance Computing
dc.subject.cnpq.fl_str_mv CIENCIA DA COMPUTACAO
dc.description.sponsorship.fl_txt_mv CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior
dc.description.abstract.por.fl_txt_mv Developing High Performance Computing applications (HPC), which optimally access the available computing resources in a higher level of abstraction, is a challenge for many scientists. To address this problem, we present a proposal of a component computing cloud called HPC Shelf, where HPC applications perform and SAFe framework, a front-end aimed to create applications in HPC Shelf and the author's main contribution. SAFe is based on Scientific Workflows Management Systems (SWMS) projects and it allows the specification of computational solutions formed by components to solve problems specified by the expert user through a high level interface. For that purpose, it implements SAFeSWL, an architectural and orchestration description language for describing scientific worflows. Compared with other SWMS alternatives, besides rid expert users from concerns about the construction of parallel and efficient computational solutions from the components offered by the cloud, SAFe integrates itself to a system of contextual contracts which is aligned to a system of dynamic discovery (resolution) of components. In addition, SAFeSWL allows explicit control of life cycle stages (resolution, deployment, instantiation and execution) of components through embedded operators, aimed at optimizing the use of cloud resources and minimize the overall execution cost of computational solutions (workflows). Montage and Map/Reduce are the case studies that have been applied for demonstration, evaluation and validation of the particular features of SAFe in building HPC applications aimed to the HPC Shelf platform.
Desenvolver aplicaÃÃes de ComputaÃÃo de Alto Desempenho (CAD), que acessem os recursos computacionais disponÃveis de forma otimizada e em um nÃvel maior de abstraÃÃo, à um desafio para cientistas de diversos domÃnios. Esta Tese apresenta a proposta de uma nuvem de componentes chamada HPC Shelf, pano de fundo onde as aplicaÃÃes CAD executam, e o arcabouÃo SAFe, Front-End para criaÃÃo de aplicaÃÃes na HPC Shelf e contribuiÃÃo principal do autor. O SAFe toma como base o projeto de sistemas gerenciadores de workflows cientÃficos (SGWC), permitindo a implementaÃÃo de soluÃÃes computacionais baseadas em componentes para resolver os problemas especificados por meio de uma interface de nÃvel de abstraÃÃo mais alto. Para isso, foi desenvolvido o SAFeSWL, uma linguagem de descriÃÃo arquitetural e orquestraÃÃo de worflows cientÃficos. Comparado com outros SGWC, alÃm de livrar usuÃrios finais de preocupaÃÃes em relaÃÃo à construÃÃo de soluÃÃes computacionais paralelas e eficientes a partir dos componentes oferecidos pela nuvem, o SAFe faz uso de um sistema de contratos contextuais integrado a um sistema de descoberta (resoluÃÃo) dinÃmica de componentes. A linguagem SAFeSWL permite o controle explÃcito das etapas do ciclo de vida de um componente em execuÃÃo (resoluÃÃo, implantaÃÃo, instanciaÃÃo e execuÃÃo), atravÃs de operadores embutidos, a fim de otimizar o uso dos recursos da nuvem e minimizar os custos de sua utilizaÃÃo. Montage e Map/Reduce constituem os estudos de caso aplicados para demonstraÃÃo e avaliaÃÃo das propriedades originais do SAFe e do SAFeSWL na construÃÃo de aplicaÃÃes de CAD.
description Developing High Performance Computing applications (HPC), which optimally access the available computing resources in a higher level of abstraction, is a challenge for many scientists. To address this problem, we present a proposal of a component computing cloud called HPC Shelf, where HPC applications perform and SAFe framework, a front-end aimed to create applications in HPC Shelf and the author's main contribution. SAFe is based on Scientific Workflows Management Systems (SWMS) projects and it allows the specification of computational solutions formed by components to solve problems specified by the expert user through a high level interface. For that purpose, it implements SAFeSWL, an architectural and orchestration description language for describing scientific worflows. Compared with other SWMS alternatives, besides rid expert users from concerns about the construction of parallel and efficient computational solutions from the components offered by the cloud, SAFe integrates itself to a system of contextual contracts which is aligned to a system of dynamic discovery (resolution) of components. In addition, SAFeSWL allows explicit control of life cycle stages (resolution, deployment, instantiation and execution) of components through embedded operators, aimed at optimizing the use of cloud resources and minimize the overall execution cost of computational solutions (workflows). Montage and Map/Reduce are the case studies that have been applied for demonstration, evaluation and validation of the particular features of SAFe in building HPC applications aimed to the HPC Shelf platform.
publishDate 2016
dc.date.issued.fl_str_mv 2016-02-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
status_str publishedVersion
format doctoralThesis
dc.identifier.uri.fl_str_mv http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16543
url http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16543
dc.language.iso.fl_str_mv por
language por
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 Universidade Federal do CearÃ
dc.publisher.program.fl_str_mv Programa de PÃs-GraduaÃÃo em CiÃncia da ComputaÃÃo
dc.publisher.initials.fl_str_mv UFC
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFC
instname:Universidade Federal do Ceará
instacron:UFC
reponame_str Biblioteca Digital de Teses e Dissertações da UFC
collection Biblioteca Digital de Teses e Dissertações da UFC
instname_str Universidade Federal do Ceará
instacron_str UFC
institution UFC
repository.name.fl_str_mv -
repository.mail.fl_str_mv mail@mail.com
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