Intelligent Particle Swarm Optimization Based Resource Provisioning Technique in Cloud Computing

Objectives: To find the optimal allocation of resources and minimize overall cost while meeting performance requirements applications. Methods: The proposed Intelligent PSO-based resource optimization in cloud computing evaluates quality solutions based on their parameters. Cloud Sim software is used as a simulation tool for testing evaluating new strategies cloud. Closest Data Center Service Broker Policy implemented Simulation. Findings: technique assigns workloads effectively available with an improvement 10.46% electricity consumption. Novelty: algorithm can further be employed identifying unused VM’s to reduce cost. Keywords: computing; Resource Scheduling; Load balancing; Particle Swarm Optimization; Quality