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An SOA-Based Model for the Integrated Provisioning of Cloud and Grid Resources

机译：基于SOA的云和网格资源集成调配模型

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In the last years, the availability and models of use of networked computing resources within reach of e-Science are rapidly changing and see the coexistence of many disparate paradigms: high-performance computing, grid, and recently cloud. Unfortunately, none of these paradigms is recognized as the ultimate solution, and a convergence of them all should be pursued. At the same time, recent works have proposed a number of models and tools to address the growing needs and expectations in the field of e-Science. In particular, they have shown the advantages and the feasibility of modeling e-Science environments and infrastructures according to the service-oriented architecture. In this paper, we suggest a model to promote the convergence and the integration of the different computing paradigms and infrastructures for the dynamic on-demand provisioning of resources from multiple providers as a cohesive aggregate, leveraging the service-oriented architecture. In addition, we propose a design aimed at endorsing a flexible, modular, workflow-based computing model for e-Science. The model is supplemented by a working prototype implementation together with a case study in the applicative domain of bioinformatics, which is used to validate the presented approach and to carry out some performance and scalability measurements.
机译：在过去的几年中，电子科学范围内的网络计算资源的可用性和使用模式正在迅速变化，并且看到了许多不同的范例的共存：高性能计算，网格和最近的云。不幸的是，这些范式中没有一个被认为是最终的解决方案，应该将它们全部融合。同时，最近的工作提出了许多模型和工具来满足电子科学领域不断增长的需求和期望。特别是，他们展示了根据面向服务的体系结构对e-Science环境和基础架构进行建模的优势和可行性。在本文中，我们提出了一个模型，该模型可以促进不同计算范式和基础架构的融合和集成，从而利用面向服务的体系结构将多个提供商的资源按需动态提供为一个聚合的集合。此外，我们提出了一项旨在认可一种灵活，模块化，基于工作流的电子科学计算模型的设计。该模型由工作原型实现以及生物信息学应用领域的案例研究进行了补充，该案例研究用于验证所提出的方法并进行一些性能和可伸缩性测量。

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