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Energy-aware resource allocation for data analysis workflows in heterogeneous cluster environments
Scientific workflows automate complex data analysis processes and are increasingly employed to handle large-scale datasets. Scientific communities leverage heterogeneous computing clusters, consisting of interconnected resources with diverse computational capabilities, to execute their large-scale d
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