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Building the federation of cloud service for big data

机译:建立大数据的云服务联合

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The demand for agile and flexible business application for big data has sparked interest in using cloud computing technology. Due to the limitation of provider's capability and the magnanimity of task quantity for big data, a single cloud provider may not offer enough service resources. However, a service federation among multiple providers can effectively solve this problem. This paper proposes the framework of cloud federation and introduces the basic processes of building service federation among multiple cloud providers. Moreover, we propose a multi-objectives task assigning model in the federation. A genetic algorithm based heuristic approach is developed as the optimization method. Eventually, some simulation experiments are conducted to illustrate the effectiveness of the model.
机译:对大数据的敏捷和灵活的业务应用的需求引发了利用云计算技术的兴趣。由于提供商的能力和大数据的任务数量的大幅度的限制,单个云提供商可能无法提供足够的服务资源。但是,多个提供商之间的服务联合可以有效解决这个问题。本文提出了云联合框架,并介绍了多个云提供商之间建设服务联合的基本过程。此外,我们提出了联合会中的多目标任务分配模型。基于遗传算法的启发式方法是优化方法。最终,进行了一些模拟实验以说明模型的有效性。

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