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Scientific workflows are built of highly parallel patterns comprising huge numbers of tasks. In general, modeling and configuring such scientific workflows is complex and error-prone. With the language Work SKEL, building blocks called, workflow skeletons" offer an abstraction to such recurring patterns. Thus, the parallel parts of scientific workflows can be defined with a few lines of Work...
This paper describes an operator for configuring scientific workflows that facilitates the process of assigning workflow activities to cloud resources. In general, modeling and configuring scientific workflows is complex and error-prone, because workflows are built of highly parallel patterns comprising huge numbers of tasks. Reusing tested patterns as building blocks avoids repeating errors. Workflow...
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