Cloud computing resource allocation method based on improved genetic algorithm

The invention belongs to the field of cloud computing resource allocation, and relates to a cloud computing resource allocation method based on an improved genetic algorithm. According to the method,firstly, a mathematical model of cloud resource distribution is constructed, and then the improved genetic algorithm is designed to solve the mathematical model. The improvement of the genetic algorithm is the improvement of an initial population generation and crossover variation method of the genetic algorithm. According to the method, when the population is initialized, the virtual machines aredivided into H groups by using a secondary adaptation algorithm, and each group corresponds to one physical machine, so that the effectiveness of the initial population is ensured. A gene evaluationfunction is introduced to evaluate the load condition of each physical machine, and the crossover and the variation are carried out on the basis of the load condition, so that the high efficiency of the algorithm is ensured. Fi