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