• DocumentCode
    2663215
  • Title

    Virtual Clusters on the Fly - Fast, Scalable, and Flexible Installation

  • Author

    Nishimura, Hideo ; Maruyama, Naoya ; Matsuoka, Satoshi

  • Author_Institution
    Dept. of Math. & Comput. Sci., Tokyo Inst. of Technol., Tokyo
  • fYear
    2007
  • fDate
    14-17 May 2007
  • Firstpage
    549
  • Lastpage
    556
  • Abstract
    One of the advantages in virtualized computing clusters compared to traditional shared HPC environments is their ability to accommodate user-specific system customization. However, past attempts to providing virtual clusters are not scalable with increasing number of VMs, nor do they allow fine-grained customization of VMs, assuming that preconfigured VM images are always available on the grid. We propose a new virtual cluster installation technique that achieves efficiency and scalability, and yet simultaneously fine-grained customizability. It allows the user to create VMs on the fly for fine-grained customization of VMs, and pipelined data transfer for scalable installation with increasing number of VMs. To achieve efficiency in the presence of such full customization, it automatically caches frequently-constructed virtual disk images to save software installation time in common cases. Our experimental studies using a prototype implementation show that installation of a 190-node virtual cluster can be done in 40 seconds. From this result along with a scalability study, we estimate that installation of a 1000-node virtual cluster could be done in less than two minutes.
  • Keywords
    grid computing; virtual machines; workstation clusters; fine-grained customization; shared HPC environments; user-specific system customization; virtual disk images; virtual machines; virtualized computing clusters; Computer networks; Grid computing; Informatics; Operating systems; Physics computing; Scalability; Software prototyping; Virtual manufacturing; Virtual prototyping; Voice mail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on
  • Conference_Location
    Rio De Janeiro
  • Print_ISBN
    0-7695-2833-3
  • Type

    conf

  • DOI
    10.1109/CCGRID.2007.121
  • Filename
    4215422