Expanding the quantity of virtual machines utilized within an open-source cloud infrastructure

Abstract

As cloud computing continues to evolve, the efficient management and scalability of virtual machines (VMs) have become pivotal for maximizing performance and resource utilization, particularly within open-source cloud infrastructures. This literature review investigates existing approaches and methodologies focused on expanding the number of VMs in open-source cloud environments. Key topics include the impact of VM scaling on resource allocation, load balancing, and energy efficiency, as well as the role of orchestration tools and hypervisor optimization in handling large-scale VM deployments. Furthermore, the review assesses the challenges related to VM density, network latency, and system reliability alongside emerging strategies for enhancing VM elasticity through containerization, microservices, and distributed computing models. This study aims to provide a comprehensive understanding of current trends, innovations, and limitations in VM expansion, offering insights into the future of scalable virtual infrastructures in open-source cloud systems.