Research on Cloud Computing Resource Scheduling Method Based on Machine Learning
There are some problems in cloud computing resource scheduling methods:the low efficiency of resource scheduling and poor convergence performance,etc.The study proposes a cloud computing resource scheduling algorithm based on machine learning,improves the classical particle swarm optimization algorithm,optimizes the population particle distribution through chaotic strategy,adds the transfer probability of simulated annealing algorithm,and reduces the risk of falling into the local optimal solution.Then the study applies algorithm to cloud resource scheduling,and conducts simulation experiments with two classical algorithms.This proves that the proposed method can improve the efficiency of resource scheduling and convergence performance.
万方数据
维普
