通信学报 ›› 2017, Vol. 38 ›› Issue (Z2): 147-155.doi: 10.11959/j.issn.1000-436x.2017268

• 学术论文 • 上一篇    下一篇

感知应用特征与网络带宽的虚拟机在线迁移优化策略

李湘1,陈宁江1,2(),杨尚林1,李华1   

  1. 1 广西大学计算机与电子信息学院,广西 南宁 530004
    2 广西大学广西多媒体通信与网络技术重点实验室,广西 南宁 530004
  • 出版日期:2017-11-01 发布日期:2018-06-07
  • 作者简介:李湘(1991-),女,广西贺州人,广西大学硕士生,主要研究方向为软件工程、网络分布式计算。|陈宁江(1975-),男,广西南宁人,博士,广西大学教授,主要研究方向为软件工程、网络分布式计算、云计算、大数据等。|杨尚林(1992-),男,山东腾州人,广西大学硕士生,主要研究方向为软件工程、网络分布式计算。|李华(1994-),男,广西北海人,广西大学硕士生,主要研究方向为网络软件工程。
  • 基金资助:
    国家自然科学基金资助项目(61363003);国家科技支撑计划课题基金资助项目(2015BAH55F02);广西自然科学基金资助项目(2017GXNSFAA198141)

Optimization strategy of virtual machine online migration with awareness of application characteristics and network bandwidth migration

Xiang LI1,Ning-jiang CHEN1,2(),Shang-lin YANG1,Hua LI1   

  1. 1 School of Computer and Electronic Information,Guangxi University,Nanning 530004,China
    2 Guangxi Key Laboratory of Multimedia Communications and Network Technology,Guangxi University,Nanning 530004,China
  • Online:2017-11-01 Published:2018-06-07
  • Supported by:
    The Natural Science Foundation of China(61363003);The National Key Technology R&D Program of China(2015BAH55F02);The Natural Science Foundation of Guangxi Province(2017GXNSFAA198141)

摘要:

首先对虚拟机在迁移过程中,内存脏页面产生数量与不同应用特征的密切关系进行了实验验证。在感知不同的虚拟机应用特征环境的基础上,使用GM(1,N)灰色预测模型对每次迭代周期产生的内存脏页面数进行预测。同时使用残差修正进行误差调整,使预测结果更可靠,结合预测的内存脏页面数量进行网络带宽动态预留调整。实验表明:与传统的pre-copy策略相比,本方法在含网络密集型应用或内存密集应用的虚拟机迁移时,能够有效提高网络性能,降低迁移时间。

关键词: 虚拟机迁移, 灰色预测模型, 网络带宽, 应用特征

Abstract:

Firstly the experiments to verify the relationship between the number of dirty memory pages and application characteristics which exist in virtual machine migration was conducted.Then,different virtual machine application characteristics were perceived,with which the number of dirty memory pages produced during the migrations was predicted by the use of GM(1,N) grey prediction model.At the same time,using residual correction to adjust error makes results more reliable.According to the prediction of memory dirty pages,network bandwidth was adjusted and reserved.Compared with the traditional pre-copy strategy,the given experiments show that the optimized strategy proposed can improve the performance of network and reduce migratory cost for the memory-intensive and network-intensive applications.

Key words: virtual machine migration, grey prediction model, network bandwidth, application characteristic

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