• DocumentCode
    641179
  • Title

    Dynamic optimization of virtual machine placement by resource usage prediction

  • Author

    Sato, Kiminori ; Samejima, Masaki ; Komoda, Natsuki

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
  • fYear
    2013
  • fDate
    29-31 July 2013
  • Firstpage
    86
  • Lastpage
    91
  • Abstract
    In order to save energy with preventing the lack of the resources on servers in data centers, we address the dynamic optimization of virtual machine placement. A decision problem of the virtual machine placement has been formulated as Bin Packing problem. Conventional methods repeat to solve the problem at regular intervals. Live migration is used for changing the virtual machine placement, but some of live migrations are unnecessary; the virtual machine is migrated repeatedly between the physical servers. For the purpose of reducing the unnecessary live migrations, we propose a dynamic optimization of virtual machine placement by resource usage prediction. The proposed method predicts the future resource usage by Auto Regressive Model. The proposed method decides the virtual machine placement by solving the Bin Packing problem with the predicted resource usage.
  • Keywords
    autoregressive processes; bin packing; computer centres; dynamic programming; prediction theory; resource allocation; virtual machines; autoregressive model; bin packing problem; data centers; decision problem; dynamic optimization; live migrations; physical servers; resource usage prediction; virtual machine placement; Programming; Quality of service; Random access memory; Schedules; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
  • Conference_Location
    Bochum
  • Type

    conf

  • DOI
    10.1109/INDIN.2013.6622863
  • Filename
    6622863