ABSTRACT
Increasing in popularity, the Energy-efficient Cloud Infrastructure Resource Allocation Framework prioritizes cloud data management with the goals of maximizing income and minimizing expenses. High CPU utilisation and good energy efficiency, as measured by Power Usage Effectiveness (PUE) and Data Center Infrastructure Efficiency (DCiE), both are possible with the aid of this infrastructure, which might also persuade cloud providers and users to allocate cloud infrastructure appropriate resources. For this purpose, in this research, we offer a framework that may demonstrate act as potential for attaining the high data centre energy efficiency and avoiding Service Level Agreement (SLA) breach, both of which are necessary for the deployment of green cloud resources. Based on a Reinforcement Learning mechanism for eco-friendly, the framework manages cloud infrastructure resource distribution. Energy-efficient Resource Allocation is tested in a virtualized form of PlanetLab in order to improve PUE and CPU usage.
