Migration Techniques for Virtual Machine Distribution Using Machine Learning Heuristics Application in Cloud Computing

Cloud computing has revolutionized the way IT resources are provisioned, deployed, and managed. Virtual machine (VM) migration is a crucial aspect of cloud computing that facilitates resource optimization, load balancing, and fault tolerance. In recent years, machine learning (ML) heuristics have emerged as effective tools for VM distribution, allowing dynamic and intelligent allocation of resources. This research review paper presents a comprehensive analysis of various migration techniques that leverage ML heuristics for VM distribution in cloud computing environments. The paper reviews relevant literature, compares different methodologies, and discusses their advantages, limitations, and potential applications.