Energy Efficient Resource Utilization of Cloud Computing Environments for Deployment Models

This research study focuses on optimizing resource allocation to reduce energy consumption in cloud-based systems. This study explores various techniques and algorithms employed to achieve energy efficiency, such as dynamic workload consolidation, virtual machine migration, and power-aware scheduling. This study emphasizes the importance of considering energy efficiency alongside performance metrics while making resource management decisions. The proposed methods intend to minimize energy wastage and carbon footprint while maintaining Quality of Service (QoS) and cost-effectiveness. Ultimately, this research contributes to the sustainable development and greener operation of cloud computing infrastructures.