›› 2015, Vol. 28 ›› Issue (6): 17-.
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LI Juntao,ZHOU Qili
Online:
Published:
Abstract:
Recently,virtualization technology has become an important technology to improve the energy efficiency of data centers.This paper designs a new genetic algorithm for initial virtual machine placement based on improved Chromosome encoding and mutation operators.The simulation results show that compared to heuristic method and genetic algorithm,the proposed algorithm has significantly improved energy efficiency in the data center.
Key words: cloud computing;virtual machine placement;grouping genetic algorithm;server consolidation
CLC Number:
TP391
LI Juntao,ZHOU Qili. Initial Virtual Machine Placement Based on Improved Grouping Genetic Algorithm[J]., 2015, 28(6): 17-.
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https://journal.xidian.edu.cn/dzkj/EN/Y2015/V28/I6/17
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