Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 406-407.

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Virtual Machine Placement Algorithm Based on Improved Genetic Algorithm

HUANG Zhao-nian, LI Hai-shan and ZHAO Jun   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Reducing the network delay and optimizing energy consumption and resource waste in the data centers have become increasingly important in the world.This paper focused on the resource waste and the network delay in the data centers and modeled the virtual machine placement to solve multi-objective optimization problems,such as minimizing physical machine resources and minimizing total network delay.Through the double-fitness genetic algorithm(CGA),we optimized the two objects at the same time.There is a contrast between CGA and FFD through simulation experiment,and the result is that CGA is better and it is an efficient virtual machine placement algorithm in the cloud environment.

Key words: Data centers,Genetic algorithm,Double-fitness,Virtual machine placement

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