A Cloud Data Center Virtual Machine Placement Scheme Based on Energy Optimization

In an Infrastructure as a Service (IaaS) environment, a key requirement is the rational placement of virtual machines that consumers apply for. In order to reduce the energy consumption of servers and switches in the data center, reduce the operating cost of data center, this paper proposes a virtual machine placement scheme based on energy optimization. Aiming at the shortcomings of genetic algorithm in intelligent algorithm which is easy to fall into local optimum, the immune algorithm is combined to generate an optimized immune genetic algorithm and a placement scheme is generated. In this paper, the data center structure is constructed, the energy consumption model of data center is constructed, and the simulation experiment is carried out. Through the experiment comparison, the proposed virtual machine placement scheme can effectively reduce data center energy consumption, and achieve effective results.