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Scientific computational experiments often span multiple computational and analytical steps, and during execution, researchers need to store, access, transfer, and query information. Scientific workflow is a powerful tool to streamline and organize scientific application. Numbers of tools have been developed to help build scientific workflows, they provide mechanisms for creating workflow but lack a native scheduling system for determining where code should be executed. This paper presentsdoi:10.2991/ijndc.2016.4.1.5 fatcat:j6bg3thp6rbvzpfle4tvnqkg5u