Optimization Techniques for Virtual Machine Deployment and Management
Keywords:
Virtual Machines, Cloud Computing, Resource Optimization, Load Balancing, Energy Efficiency, Security, Automation, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOSAbstract
Virtual Machine (VM) deployment and management are essential for optimizing computing resources in cloud computing and enterprise IT environments. As demand for scalable, cost-effective, and high-performance computing solutions increases, organizations seek strategies to improve VM efficiency. This manuscript explores various optimization techniques for VM deployment and management, including resource allocation strategies, load balancing, energy efficiency approaches, and security enhancements. Through an in-depth literature review and empirical analysis, this paper highlights best practices and emerging trends in VM optimization. The findings suggest that automation, AI-driven resource management, and containerization significantly enhance VM performance and reduce operational costs.
