Research on virtual machine placement in the cloud based on improved simulated annealing algorithm

How to efficiently place virtual machines is an important issue in the cloud data center. Virtual machine placement method based on traditional heuristic algorithm costs long time to reach an optimal allocation so that it is difficult to meet the real production environment. To solve this problem, this paper proposes a virtual machine placement method based on improved simulated annealing algorithm (ISA). Firstly, resource utilization model of servers and dynamic placement model for virtual machines are introduced. Secondly, two threshold values and an optimized annealing process are presented in the ISA. Finally, the ISA-based allocation weight vector is computed. Experimental results show that the method determines virtual machine placement in a short time span, achieves load balance and improves resource utilization rate in the cloud data center, as well as reduces the number of active servers.