|Table of Contents|

Virtual machine placement method based on grouping genetic algorithm

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年03期
Page:
322-
Research Field:
Publishing date:

Info

Title:
Virtual machine placement method based on grouping genetic algorithm
Author(s):
Li Shuying1; Pan Ya1; Fei Wei2; Xu Jian2
1.College of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu 476000,China; 2.School of Computer Science and Engineering,Nanjing University of Science and Technology, Nanjing 210094,China
Keywords:
cloud computing;  virtualization;  virtual machine placement;  grouping genetic algorithm;  multi-objective optimization;  resource usage rate;  power;  temperature
PACS:
TP312
DOI:
10.14177/j.cnki.32-1397n.2016.40.03.012
Abstract:
To solve the problem of existing virtual machine placement methods that the initial placement target is one-sided and only focuses on one or two optimization objects,a virtual machine initial placement method for multi-objective optimization is proposed here.Resource usage rate,system power and temperature are considered synthetically.Candidates of virtual machine placement solution are got based on an improved group genetic algorithm.The best virtual machine placement solution is selected by a multi-object fuzzy assessment algorithm.The simulation experiment results show that the proposed method can reduce the wasting of resources by 44% and server operation power by 3 kW.

References:

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Last Update: 2016-06-30