Virtual machine allocation method for cloud computing based on multi-objective evolutionary algorithm Online publication date: Tue, 16-Feb-2021
by Lijun Zhao; Bin Liu; Jinling Ma
International Journal of Information and Communication Technology (IJICT), Vol. 18, No. 2, 2021
Abstract: In order to overcome the problems of data access delay and high energy consumption in virtual machine configuration of cloud computing, a new virtual machine allocation method for cloud computing based on multi-objective evolutionary algorithm is proposed in this paper. Based on multi-objective evolutionary algorithm, the objective of energy consumption and access delay optimisation is replaced by an objective model, which is used as the allocation objective model of computational virtual machine. The ant colony algorithm and K-NN local search method are introduced to obtain the optimal solution of the allocation target model and realise the output of the optimal allocation scheme for cloud computing virtual machines. The experimental results show that the access delay and energy consumption of the proposed method are significantly lower than those of other methods, which proves that the proposed method has better performance.
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