Infrastructure as a Service(IaaS) is important in Cloud Computing, which provides on-demand virtual machines(VMs) to users. The resource management plays an important role in IaaS cloud, which deploys and relocates virtual machine on available hosts for different targets, such as load balancing, power saving and resource utilization improving. The virtual machine placement problem can be considered as a bin packing problem. Many researchers use the heuristic algorithms based approach to solve this virtual machine placement problem. However, they all focus on how to find the optimization solution for the bin packing problem of virtual machine placement. These studies did not consider the scheduling of multiple virtual machine migration that involved in the transfer process from one V-P mapping to another. Because of the large overhead produced by virtual machine migration, the optimization of multiple virtual machines migration process could reduce the overhead of resource management in IaaS cloud, and accelerate the migration process. In this paper, we analyse and formal the multiple virtual machines migration problem, and propose a scheduling method to reduce the VM migration times and accelerate the migration process. Experiments show that our method can decrease the VM migration times, reduce the traffic and accelerate the process of multiple virtual machine migration.