Optimization of Resource Allocation in the Cloud Environment using Regression Models

Cloud computing is a developing technology that separates computations from infrastructures making it far more effective to traditional self-hosted computing methods. It saves operating costs and has a positive environmental impact by limiting resource waste, excessive provisioning, and consumption of energy. It also helps to improve the quality of service and user experience by decreasing delays, boosting throughput, and preventing bottlenecks. This study investigates the effectiveness of using regression models to direct cloud resource allocation. The cloud environment is well-equipped to both minimize cloud costs more efficiently and respond to changing demands by making decisions based on real-time data.