A. Ali

A Hierarchical Multi-Agent Reinforcement Learning With a Heterogeneous Metaheuristic Aware Resource Allocation in Big Data-Cloud

Experimental results show that the proposed OPHM-DQN-ADBOA framework consistently reduces EC, execution delay, and SLA violations while improving resource utilisation and LB and the model achieves high scalability and adaptability in heterogeneous IoT-Cloud resource management.