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Weight Based Live Migration of Virtual Machines

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Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7867))

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Abstract

Due to having many advantages, virtualization has been widely used and become a key technology of cloud computing. Live migration of virtual machines is the core technique of virtualization fields, but the existing pre-copy live migration approaches have problems of low copy efficiency and long total migration time, so we propose a weight based live migration algorithm of virtual machines in this paper, which adds weights to the dirty page information collected, preferentially selects and transfers the dirty pages that are not modified frequently, the dirty pages that are modified frequently are transferred after virtual machine is suspended. The algorithm effectively reduces the amount of memory pages transferred and the total migration time. Experiment results show that when virtual machine is under heavy load, the proposed algorithm considerably reduces the number of transferred memory pages and shortens the total migration time without significantly increment of the virtual machine downtime.

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References

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Author information

Authors and Affiliations

  1. College of Information Science & Engineering, Northeastern University, China

    Baiyou Qiao, Kai Zhang, Yanpeng Guo, Yutong Li, Yuhai Zhao & Guoren Wang

Authors
  1. Baiyou Qiao
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  2. Kai Zhang
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  3. Yanpeng Guo
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  4. Yutong Li
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  5. Yuhai Zhao
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  6. Guoren Wang
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Editor information

Editors and Affiliations

  1. School of Information Technology and Mathematical Sciences, University of South Australia, 1 Mawson Lakes Boulevard, 5095, Adelaide, SA, Australia

    Jiuyong Li

  2. Advanced Analytics Institute, University of Technology, 2-12 Blackfriars Street, Chippendale, Blackfriars Campus, 2008, Sydney, NSW, Australia

    Longbing Cao  & Can Wang  & 

  3. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore, Singapore

    Kay Chen Tan

  4. School of Automation, Guangdong University of Technology, No. 100 Waihuan Xi Road, Panyu District, 510006, Guangzhou, China

    Bo Liu

  5. School of Computing Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, BC, Canada

    Jian Pei

  6. Department of Computer Science and Information Engineering, National Cheng Kung University, No.1, University Road, 701, Tainan, Taiwan

    Vincent S. Tseng

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© 2013 Springer-Verlag Berlin Heidelberg

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Qiao, B., Zhang, K., Guo, Y., Li, Y., Zhao, Y., Wang, G. (2013). Weight Based Live Migration of Virtual Machines. In: Li, J., et al. Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science(), vol 7867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40319-4_47

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  • DOI: https://doi.org/10.1007/978-3-642-40319-4_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40318-7

  • Online ISBN: 978-3-642-40319-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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