Shajulin Benedict

Deep Q-Network-Assisted Energy-Aware Scheduling Framework (DQN-EAS) for Scientific Workflows

In modern computing environments, scientific workflows play a vital role in orchestrating complex computational tasks across diverse resources and domains. As high-performance computing (HPC) systems continue to evolve, the need for energy-efficient scheduling methods — without compromising task completion time — has b...