Computer Science ›› 2016, Vol. 43 ›› Issue (3): 113-117.doi: 10.11896/j.issn.1002-137X.2016.03.023

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Research on Resources Scheduling Method in Cloud Computing Based on PSO and RBF Neural Network

ZHAO Hong-wei and LI Sheng-pu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to implement the multi-objective optimization scheme in cloud computing system,firstly,a dynamic management framework was proposed,providing the structure of the resources scheduling in cloud computing system.Secondly,a multi-objective optimization model was established,which ensures the quality of cloud applications and improves the utilization rate of resources.The RBF neural network and improved particle swarm algorithm were combined to solve the model.Finally, the result of the experiment on the CloudSim simulation platform indicates that the framework and the proposed algorithm can effectively reduce the number of virtual machine migration and the number of used physical nodes,and the scheduling system can not only improve the utilization rate of resources,but also ensure the QoS of cloud application.

Key words: Cloud computing,Neural network,Resource scheduling,Particle swarm

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