A Dynamic Approach for Live Virtual machine Migration using OU Detection Algorithm

Cloud computing is the new trend and the services of platform, infrastructure and software provided by CC have profited the users. While providing these services the issue of load balancing is introduced. To achieve the load balancing, the migration of VMs is done so as to balance the load and the traffic of network. Live migration helps us in performing the task of VM migration from source to the destined host without shutting down the server. An OU (Overload-Underload) detection virtual machine algorithm is proposed to perform live migration that helps us save power, energy and also reduce the downtime. The algorithm first checks the overload and underload condition of the host and takes the step according to the situation. Then the process of migration takes place in stages. After completing these stages, the total migration time is calculated. Our proposed methodology reduces the downtime and total migration time in comparison with other algorithms as it first checks the condition of host reducing the re-migration step, hence making it energy and power efficient.