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- W2529127812 abstract "The increasing volume of scientific data and the limited scalability and performance of storage systems are currently presenting a significant limitation for the productivity of the scientific workflows running on both high-performance computing (HPC) and cloud platforms. Clearly needed is better integration of storage systems and workflow engines to address this problem. This paper presents and evaluates a novel solution that leverages codesign principles for integrating Hercules—an in-memory data store—with a workflow management system. We consider four main aspects: workflow representation, task scheduling, task placement, and task termination. The experimental evaluation on both cloud and HPC systems demonstrates significant performance and scalability improvements over existing state-of-the-art approaches." @default.
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- W2529127812 date "2017-01-01" @default.
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- W2529127812 title "Experimental evaluation of a flexible I/O architecture for accelerating workflow engines in ultrascale environments" @default.
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- W2529127812 doi "https://doi.org/10.1016/j.parco.2016.10.003" @default.
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