GREEN COMPUTING: ENERGY-EFFICIENT ALGORITHMS AND DATA CENTERS
It is argued that energy-efficient algorithms combined with sustainable infrastructure practices provide a viable pathway toward environmentally responsible digital transformation.
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It is argued that energy-efficient algorithms combined with sustainable infrastructure practices provide a viable pathway toward environmentally responsible digital transformation.
An Energy-Driven Adaptive Scheduling (EDAS) algorithm is proposed that dynamically prioritizes queries based on estimated CPU utilization, disk I/O costs, and historical energy profiles without requiring modifications to the underlying database engine.
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