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Increasing cloud platforms have been developed in the recent time and are provisioning different services to customers. The existence of different cloud provides offers the users an opportunity of combining different cloud services to run their scientific workflows with lower cost and higher performance. In this paper, the authors developed a framework to allow combining individual services of different clouds to solve complex problems with efficiency. The framework contains a workflow management system that processes users workflow descriptions and starts the related services automatically on the target clouds. A data management component takes care of the data exchange between the underlying clouds.
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