Indian Journal of Science and Technology
Year: 2023, Volume: 16, Issue: 16, Pages: 1241-1249
B Ramana Reddy1,2*, M Indiramma3, N Nagarathna3
1Research Scholar, Department of CSE, B.M.S. College of Engineering, Bangalore, India
2Assistant Professor, Department of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, India
3Professor, Department of CSE, B.M.S. College of Engineering, Bangalore, India
Email: [email protected]
Received Date:12 February 2023, Accepted Date:04 April 2023, Published Date:28 April 2023
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.
Keywords: Cloud computing; Resource Scheduling; Load balancing; Particle Swarm Optimization; Quality of Service
© 2023 Reddy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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