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Previous issue date: 2015-01-28 / A computa??o em nuvem pode ser definida como um modelo computacional
distribu?do atrav?s do qual s?o compartilhados recursos (hardware, armazenamento,
plataformas de desenvolvimento e comunica??o) na forma de servi?os pagos e acess?veis com
um esfor?o m?nimo de gest?o e intera??o. Um grande benef?cio desse modelo ? possibilitar a
utiliza??o de variados provedores (i.e. uma arquitetura multiplataforma) para compor um
conjunto de servi?os no intuito de obter uma configura??o ?tima em desempenho e custo.
Entretanto, a utiliza??o multiplataforma ? impossibilitada pelo problema de cloud lock-in. O
cloud lock-in ? a depend?ncia entre uma aplica??o e uma plataforma de nuvem. Ele ?
comumente endere?ado por tr?s estrat?gias: (i) uso de camada intermedi?ria que se interp?e
aos consumidores de servi?os de nuvem e o provedor, (ii) uso de interfaces padronizadas para
acesso a nuvem, ou ainda (iii) uso de modelos com especifica??es abertas. Este trabalho
define uma abordagem para avaliar estas estrat?gias. Tal abordagem foi executada e
observou-se que apesar dos avan?os conseguidos por estas estrat?gias, nenhuma delas resolve
efetivamente o problema do cloud lock-in. Neste sentido, esse trabalho prop?e o uso de Web
Sem?ntica para evitar o cloud lock-in, onde modelos em RDF s?o usados para especificar os
recursos de uma nuvem, que s?o gerenciados via consultas SPARQL. Nessa dire??o, esse
trabalho: (i) apresenta um modelo avaliativo que quantifica o problema do cloud lock-in, (ii)
avalia o cloud lock-in entre tr?s solu??es multi-cloud e tr?s plataformas de nuvem, (iii) prop?e
utilizar RDF e SPARQL na ger?ncia de recursos de nuvem, (iv) apresenta o Cloud Query
Manager (CQM), um servidor SPARQL que implementa a proposta, e (v) compara tr?s
solu??es multi-cloud em rela??o ao CQM quanto ao tempo de resposta e a efetividade na
resolu??o do cloud lock-in. / Cloud computing can be defined as a distributed computational model by through resources
(hardware, storage, development platforms and communication) are shared, as paid services
accessible with minimal management effort and interaction. A great benefit of this model is to
enable the use of various providers (e.g a multi-cloud architecture) to compose a set of
services in order to obtain an optimal configuration for performance and cost. However, the
multi-cloud use is precluded by the problem of cloud lock-in. The cloud lock-in is the
dependency between an application and a cloud platform. It is commonly addressed by three
strategies: (i) use of intermediate layer that stands to consumers of cloud services and the
provider, (ii) use of standardized interfaces to access the cloud, or (iii) use of models with
open specifications. This paper outlines an approach to evaluate these strategies. This
approach was performed and it was found that despite the advances made by these strategies,
none of them actually solves the problem of lock-in cloud. In this sense, this work proposes
the use of Semantic Web to avoid cloud lock-in, where RDF models are used to specify the
features of a cloud, which are managed by SPARQL queries. In this direction, this work: (i)
presents an evaluation model that quantifies the problem of cloud lock-in, (ii) evaluates the
cloud lock-in from three multi-cloud solutions and three cloud platforms, (iii) proposes using
RDF and SPARQL on management of cloud resources, (iv) presents the cloud Query
Manager (CQM), an SPARQL server that implements the proposal, and (v) comparing three
multi-cloud solutions in relation to CQM on the response time and the effectiveness in the
resolution of cloud lock-in.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/20154 |
| Date | 28 January 2015 |
| Creators | Souza, Arthur Emanoel C?ssio da Silva e |
| Contributors | 03038841420, http://lattes.cnpq.br/4635320220484649, Batista, Thais Vasconcelos, 56765614400, Kamienski, Carlos Alberto, 63723077900, http://lattes.cnpq.br/8133514145411759, Batista, Thais Vasconcelos, Cacho, N?lio Alessandro Azevedo |
| Publisher | Universidade Federal do Rio Grande do Norte, PROGRAMA DE P?S-GRADUA??O EM SISTEMAS E COMPUTA??O, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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