Optimum Selection of Virtual Machine in Cloud Using Improved ACO

This research presents a novel strategy for selecting the optimal virtual machine (VM) in a cloud environment. The approach employs an improved version of the ant colony optimization (ACO) algorithm. Cloud computing, which offers scalable resources and services, has become an essential component of modern IT design. These resources must be used effectively in order to optimize performance and cost-effectiveness. The proposed improved ACO algorithm features enhancements that allow for more precise solution space exploration, which improves VM selection results. Extensive experiments and comparative research have demonstrated the efficiency of the improved ACO algorithm. This study advances cloud resource management methods by assisting in the optimal distribution of virtual machines to meet stated performance and cost targets.