2023
DOI: 10.21203/rs.3.rs-2898863/v1
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Multi-objective Scientific Workflows Scheduling in An Energy-aware Cloud Environment

Abstract: The cloud has become an essential element for businesses globally, providing constant data availability while improving data center energy efficiency and reducing carbon footprints. However, data centers' energy consumption remains high, and energy reduction has become a crucial objective. In this paper, we aim to address this concern by proposing a multi-objective scientific workflow scheduling scheme on heterogeneous computing systems using a hybrid genetic algorithm approach. Our algorithm incorporates Hill… Show more

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