• DocumentCode
    3126502
  • Title

    LVMM: A lightweight virtual machine memory management architecture for virtual computing environment

  • Author

    Zhang, Weizhe ; Cheng, Tao ; He, Hui ; Cheng, Albert M K

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2011
  • fDate
    4-7 Aug. 2011
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    Virtualization technology recently becomes a hot research topic again in both industry and academics. Some physical hardware such as processors and I/O devices are shared among virtual machines using time slicing, but the memory resource management is relatively complicated. A lightweight memory management architecture for multiple virtual machines is proposed, and it includes a mixture of self-adjustment and global-adjustment policies, both of which collaborate with each other to improve the memory efficiency. Experimental results show that our memory management method is effective, and significantly increase the performance of overall system about 20-30%.
  • Keywords
    storage management; virtual machines; virtualisation; lightweight virtual machine memory management; memory resource management; virtual computing environment; virtual machine global-adjustment policy; virtual machine self-adjustment policy; virtualization technology; Benchmark testing; Collaboration; MONOS devices; Memory management; Nickel; Resource management; Virtual machining; global-adjustment; memory management; self-adjustment; virtual machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-9985-4
  • Electronic_ISBN
    978-1-4244-9984-7
  • Type

    conf

  • DOI
    10.1109/URKE.2011.6007806
  • Filename
    6007806