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Clouds are emerging as an important class of distributed computational resources and are quickly becoming an integral part of production computational infrastructures. An important but oft-neglected question is, what new applications and application capabilities can be supported by clouds as part of a hybrid computational platform? In this paper the authors use the ensemble Kalman-filter based dynamic application workflow and investigate how clouds can be effectively used as an accelerator to address changing computational requirements as well as changing Quality of Service constraints (e.g., deadlines).
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