This study presents a comprehensive comparative analysis of virtual machine (VM) migration systems in cloud computing, highlighting their significance in optimizing resource utilization, enhancing system performance, and ensuring service continuity. Virtual machine migration involves transferring the active state of a VM from one physical host to another, a process crucial for load balancing, fault tolerance, and energy efficiency in cloud environments. This research examines various migration techniques, including live migration, cold migration, and pre-copy migration, assessing their advantages and limitations based on performance metrics such as downtime, resource overhead, and network bandwidth consumption. Through a systematic review of existing literature and empirical data, this analysis identifies the key factors influencing the effectiveness of VM migration systems, providing valuable insights for cloud service providers and organizations seeking to enhance their cloud infrastructure. The findings contribute to a deeper understanding of how different migration strategies can be leveraged to optimize cloud resource management, ultimately guiding future developments in cloud computing technologies.

Cloud computing, Virtual machine migration, Virtualization, Pre-copy technique, Post-copy technique, Security