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Several fields of science have traditionally demanded large-scale workflow support, which requires thousands of CPU cores or more. In this paper, we investigate ways to support these scientific workflows in a heterogeneous environment in which cluster computing resources are integrating with cloud computing resources. Specifically, we first propose an architecture that utilizes cloud resources to...