基于随机森林的虚拟机性能预测与配置优化

doi:10.11896/j.issn.1002-137X.2019.09.011

计算机科学 ›› 2019, Vol. 46 ›› Issue (9): 85-92.doi: 10.11896/j.issn.1002-137X.2019.09.011

• 第35届中国数据库学术会议 • 上一篇下一篇

基于随机森林的虚拟机性能预测与配置优化

张彬彬, 王娟, 岳昆, 武浩, 郝佳

(云南大学信息学院昆明650500)

收稿日期:2018-07-21 出版日期:2019-09-15 发布日期:2019-09-02
通讯作者: 岳昆(1979-),男,博士,教授,博士生导师,CCF高级会员,主要研究方向为海量数据分析与服务、大数据知识工程,E-mail:kyue@ynu.edu.cn
作者简介:张彬彬(1982-),女,博士,讲师,CCF会员,主要研究方向为虚拟化、云计算;王娟(1992－),女,硕士生,主要研究方向为数据分析、虚拟化;武浩(1979-),男,博士,副教授,主要研究方向为Web信息处理、服务计算;郝佳(1993-),女,博士生,主要研究方向为数据分析、虚拟化。
基金资助:
本文受国家自然科学基金项目(61402398,U1802271,61562090),云南大学青年英才培育计划项目(WX173602)

Performance Prediction and Configuration Optimization of Virtual Machines Based on Random Forest

ZHANG Bin-bin, WANG Juan, YUE Kun, WU Hao, HAO Jia

(School of Information Science and Engineering,Yunnan University,Kunming 650500,China);

Received:2018-07-21 Online:2019-09-15 Published:2019-09-02

摘要/Abstract

摘要： 在目前的IaaS云计算服务中,用户可租用不同资源配置的虚拟机,然而用户很难根据资源配置准确估计虚拟机的性能,从而较难根据待部署的应用的性能需求选择恰当配置的虚拟机,这种使用方式使得云主机的资源未得到最充分的利用。因此,文中提出基于随机森林回归模型预测特定配置的虚拟机性能,并在此基础上,根据性能需求,利用遗传算法求解较优的符合性能需求的虚拟机配置,用随机森林性能模型获取种群中各个体的性能预测值以选出最接近性能需求的个体进行交叉操作。实验结果表明,随机森林回归模型能准确预测特定配置的虚拟机的性能,利用遗传算法搜索得出的虚拟机配置的实测性能与性能需求非常接近,并且该算法可以在较短时间内达到收敛。

关键词: 配置优化, 随机森林, 性能预测, 虚拟机, 遗传算法, 云计算

Abstract: In IaaS cloud computing,users rent one or more virtual machines with different resource configurations.However,it is difficult for users to accurately estimate the performance of the virtual machine according to the resources allocated.Thus it is hard for them to select an appropriate virtual machine according to the performance requirement of the applications.Therefore,this paper proposed to predict performance of the virtual machine according to their resources and configurations based on random forest.Further,it proposed to use genetic algorithm to search the optimal configuration of the virtual machine which can meet the performance requirement.The difference of the prediction result and the target performance are used as the fitness function.The experimental results show that the random forest model can accurately predict performance of the virtual machine.And the actual performance of the virtual machine configured according to the configuration obtained by the genetic algorithm is very close to the performance requirement,and the convergence can be achieved in a short time.

Key words: Cloud computing, Configuration optimization, Genetic algorithm, Performance prediction, Random forest, Virtual machine

中图分类号:

TP302

张彬彬, 王娟, 岳昆, 武浩, 郝佳. 基于随机森林的虚拟机性能预测与配置优化[J]. 计算机科学, 2019, 46(9): 85-92. https://doi.org/10.11896/j.issn.1002-137X.2019.09.011

ZHANG Bin-bin, WANG Juan, YUE Kun, WU Hao, HAO Jia. Performance Prediction and Configuration Optimization of Virtual Machines Based on Random Forest[J]. Computer Science, 2019, 46(9): 85-92. https://doi.org/10.11896/j.issn.1002-137X.2019.09.011

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基于随机森林的虚拟机性能预测与配置优化

Performance Prediction and Configuration Optimization of Virtual Machines Based on Random Forest

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