Virtual Machine Deployment Strategy Based on Adaptive Differential Evolution Algorithm

As the main development direction of modern science and technology, cloud computing is widely used in various industries. Due to the large amount of computing and the large number of servers in the seismic system, the problem of cloud platform energy consumption becomes increasingly prominent when a large number of systems are migrated to the cloud platform. Therefore, a virtual machine deployment strategy based on adaptive differential evolution algorithm is proposed, which improves algorithm optimization ability by dynamically adjusting scaling factor and crossover factor, adopts optimal individual variation strategy to accelerate algorithm convergence, takes energy consumption value as fitness evaluation condition, and determines algorithm iteration times by cloud platform performance optimization results, so as to reduce the overall energy consumption of cloud platform. Simulation results show that the proposed algorithm has lower energy consumption and complexity than the comparison algorithm.