• DocumentCode
    2925203
  • Title

    Resource selection for fast large-scale Virtual Appliances Propagation

  • Author

    Rodríguez, Alejandra ; Carretero, Jesús ; Bergua, Borja ; García, Felix

  • Author_Institution
    Comput. Archit. Group, Univ. Carlos III de Madrid, Leganes, Spain
  • fYear
    2009
  • fDate
    5-8 July 2009
  • Firstpage
    824
  • Lastpage
    829
  • Abstract
    The increase of Dynamic Virtual Infrastructures usage brings up some problems. One of them is the efficient deployment, over large-scaled distributed systems, of the Virtual Appliances images. To address this problem two points needs to be faced, which nodes to select and how to transfer the VA images to those nodes. In this paper we propose a function for efficient node selection. This customizable function can be tailored to prioritize distribution time or node performance. We study how to tailor the function in order to balance both factors. We evaluate the performance of this function selection in conjunction with a deployment algorithm called Geometric Propagation obtaining exceptional results. We propose a mechanism that allows deploying a VA image over a large number of nodes within a reasonable period of time.
  • Keywords
    distributed processing; grid computing; resource allocation; deployment algorithm; dynamic virtual infrastructures usage; geometric propagation; large-scale distributed systems; large-scale virtual appliances propagation; node performance; resource selection; virtual appliances images; Cloud computing; Collaboration; Commercialization; Computer architecture; Distributed computing; Home appliances; Large-scale systems; Page description languages; Resource virtualization; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 2009. ISCC 2009. IEEE Symposium on
  • Conference_Location
    Sousse
  • ISSN
    1530-1346
  • Print_ISBN
    978-1-4244-4672-8
  • Electronic_ISBN
    1530-1346
  • Type

    conf

  • DOI
    10.1109/ISCC.2009.5202254
  • Filename
    5202254