Workload Balancing in Cloud Computing: An Empirical Study on Particle Swarm Optimization, Neural Networks, and Petri Net Models
Workload balancing in cloud computing plays a critical role in ensuring efficient task scheduling, resource allocation, and execution management. This study explores the effectiveness of Particle Swarm Optimization (PSO), Neural Networks (NNs), and Petri Net Models (PNMs) for optimizing workload distribution in dynamic...