In order to improve the efficiency of resource scheduling in cloud computing environment and maintain low consumption, the new algorithm based on multi-group parallel Particle Swarm Optimization algorithm is proposed, due to the complexity of the operating environment, the whole population based on the standard Particle Swarm Optimization algorithm is divided equally, the improved algorithm is used to obtain the optimal position of the particle in the subgroup, and then the optimal solution is obtained, for the premature convergence problem of Particle Swarm Optimization algorithm, determining the particle of the poor performance, and using the characteristics of Cauchy distribution to implement perturbation, which can effectively help the algorithm to converge quickly. Experimental data show that the improved algorithm compared with other algorithms, it has achieved good promotion, such as in platform efficiency, consumption and convergence, and so on.
This paper presents an improved differential evolution algorithm(CDEI) to solve the problem of resource scheduling and load balancing in clofud computing environment. Firstly, based on the basic differential evolution algorithm, the chaotic strategy is introduced and the individual replacement is implemented at the right time to enhance the diversity of the population; furthermore, the scaling factor and crossover probability are dynamically adjusted in the iteration of the algorithm, and the strategy of early high to low is adopted to overcome the prematurity of the algorithm; finally, the array representation is used in the coding of cloud computing scheduling. The experimental results show that the improved algorithm has the advantages of fast convergence, high precision and low consumption.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.