Deep Learning Enhanced Energy-Aware Task Scheduling for Efficient Cloud Datacenter Management
Experimental results demonstrate that DL-EATS achieves the lowest energy consumption, shortest makespan, minimal SLA violation rate, and highest resource utilization, representing an 18.5% improvement in energy efficiency over the next best method and substantial gains across all performance metrics.