During the last decades the demand for large-scale computational and storage resources in science has increased dramatically. New computational infrastructures enable scientists to enter a new mode of science, e-science, which complements traditional theory and experiments. E-science is inherently interdisciplinary, involving researchers from several disciplines, and also opens up for large-scale collaborative efforts where physically distributed groups of scientists share software tools and data to make scientific progress. Within the field of e-science, new challenges are emerging in managing large-scale distributed computing efforts and distributed data sets. Different models, e.g. grids and clouds, have been introduced over the years, but new solutions built on these models are needed to enable easy and flexible use of distributed computing infrastructures by application scientists. In the first part of the thesis, application execution environments are studied. The goal is to hide technical details of the underlying distributed computing infrastructure and expose secure and user-friendly environments to the end users. First, a general-purpose solution using portal technology is described, enabling transparent and easy usage of a variety of grid systems. Then a problem-solving environment for genetic analysis is presented. Here the statistical software R is used as a workflow engine, enhanced with grid-enabled routines for performing the computationally demanding parts of the analysis. Finally, the issue of resource allocation in grid system is briefly studied and certain modifications in the distributed resource-brokering model for the ARC middleware are proposed. The second part of the thesis presents solutions for managing and analyzing scientific data using distributed storage resources. First, a new reliable and secure file-oriented distributed storage system, Chelonia, is presented. The architectural design of the system is described and implementation issues are considered. Also, the stability and scalable performance of Chelonia is verified using several test scenarios. Then, tools for providing an efficient and easy-to-use platform for data analysis built on Chelonia are presented. Here, a database driven approach is explored. An extended architecture where Chelonia is combined with the Web-Service MEDiator (WSMED) system is implemented, providing web service tools to query data without any further programming. This approach is then developed further and Chelonia is combined with SciSPARQL, a query language that extends SPARQL to queries over numeric scientific data. This results in a system that is capable of interactive analysis of distributed data sets. Writing customized modules in Java, Python or C can fulfill advanced application-specific analysis requirements. The viability of the approach is demonstrated by applying the system to data produced by URDME, a computational environment in systems biology and results for sample queries expressed in SciSPARQL are presented. Finally, the use of an open source storage cloud, Openstack – SWIFT, for analysis of data from CERN experiments is considered. Here, a pilot implementation for the ROOT data analysis framework is presented together with a performance evaluation. / eSSENCE

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2015-10-21T15:40:14Z No. of bitstreams: 1 WESLEY LACERDA E SILVA_.pdf: 653332 bytes, checksum: 2d0fc8bce4e0c028ac9e742f61d288ca (MD5) / Made available in DSpace on 2015-10-21T15:40:14Z (GMT). No. of bitstreams: 1 WESLEY LACERDA E SILVA_.pdf: 653332 bytes, checksum: 2d0fc8bce4e0c028ac9e742f61d288ca (MD5) Previous issue date: 2014-12-21 / Nenhuma / A capacidade de coprodução de serviços terceirizados de Tecnologia da Informação - TI é um tema pouco debatido de modo geral, com poucos trabalhos acadêmicos específicos e desconhecido no meio profissional. Esse estudo apresenta uma proposta de constructo sobre as capacidades dos clientes de coprodução de serviços terceirizados de manutenção de aplicativos. Esta pesquisa qualitativa foi desenvolvida a partir da análise detalhada de uma empresa multinacional brasileira reconhecida pela sua estratégia de terceirização de atividades fora do seu core business, como é o caso das atividades de TI. Utilizando a abordagem metodológica de Estudo de Caso foi feita a confirmação de um modelo de capacidades dos clientes de coprodução de serviços terceirizados de manutenção de aplicativos, definindo também as dimensões que compõem essas capacidades. Chegou-se à conclusão que existem três grandes capacidades de coprodução dos clientes para esses serviços: a capacidade de Gestão Tecnológica, a capacidade de Relacionamento Organizacional e a capacidade de Gestão e Desenvolvimento de Fornecedores. Esse estudo, a partir de uma revisão teórica dos temas envolvidos, propõe um modelo teórico que foi confirmado e refinado a partir das entrevistas de campo em profundidade, realizadas com profissionais diretamente ligados com a gestão e execução das atividades de manutenção de aplicativos desta empresa multinacional brasileira. / The IT outsourcing coproduction capability, in general, is not a well explored and studied matter, with few specific academic studies and even less efforts in the professional market. This study presents a construct proposal about the application management outsourced services coproduction capability. This qualitative research was based in a detailed analysis of a multinational Brazilian company, recognized by its outsourcing strategies. With a Case Study approach, it was confirmed the application management outsourcing services coproduction capability model, defining also this capabilities dimensions. This study concludes that there are three major customer coproduction capabilities: Technological Management capability, Organizational Relationship capability and Suppliers Management and Development capability. This study, based in theoretical references, proposes a model that was confirmed and refined through in-depth interviews with application management professionals, both managers and technicians that work directly with these activities as employees of this Brazilian multinational company.