Research on VM Dynamic Scheduling in Cloud Environment
Hanqian Wu, Tao Chen, Jue Xie · 2018
In order to improve the uneven utilization of resources, electricity power loss and QoS (Quality of Service) in the cloud environment, a multi-objective VM (virtual machine) dynamic Scheduling mechanism is proposed.The VM in the cloud environment is dynamically managed via designing the strategy of migration triggering, selection of migrating VM and dynamic placement of VM.In the proposed mechanism, the model of ARIMA is employed to predict the utilization rate of physical host resources.Moreover, the improved BFD algorithm plays the role of allocating VMs dynamically according to the dual-threshold trigger migration.The empirical results demonstrate that the load balancing of physical hosts can be effectively ensured and the power consumption can be reduced while maintaining a slow SLA violation rate.