Efficient Consolidation of VMs Systems in the Cloud to Reduce Energy Use

The energy needs of cloud computing systems are very high. Cloud suppliers, in order to keep their services available, need to reduce the amount of power their platforms need without sacrificing quality of service. As a result, studies have recommended a cloud-specific architecture that optimizes energy use throughout the whole computer infrastructure. The suggested method was developed in the CloudSim simulator, and the results of the associated simulations suggest that power consumption may be substantial and varies depending on parameters like the quantum variable, data size, and the number of VMs operating on a host. It is possible to establish a variety of resource allocation and planning methods for amassing virtual machines (VMs) on fewer hosts while still maintaining critical metrics, making cloud technology the first step towards sustainable energy. In this study, we first outline the taxonomy of VM placement approaches before proposing new iterative placement strategies that dynamically adjust their placement judgments based on host load Swarm Bee inspired improved Threshold.