• DocumentCode
    123871
  • Title

    Virtual-machine metadata optimization for I/O traffic reduction in mobile virtualization

  • Author

    Renhai Chen ; Yi Wang ; Jingtong Hu ; Duo Liu ; Zili Shao ; Yong Guan

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2014
  • fDate
    20-21 Aug. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Mobile virtualization introduces extra layers in software stacks, which leads to performance degradation. Especially, each I/O operation has to pass through several software layers to reach the NAND-flash-based storage systems. Among all the I/O operations, a large percentage is updating metadata. Frequent updating metadata not only degrades overall I/O performance but also severely reduces flash memory lifetime. In this paper, we propose a novel I/O optimization technique to identify the metadata of a guest file system which are stored in a VM image file and frequently updated. Then these metadata are stored in a small additional non-volatile memory which is faster and more endurable to greatly improve flash memory´s performance and lifetime. The proposed scheme is evaluated on a real hardware embedded platform. The experimental results show that the proposed techniques can effectively improve the I/O performance in mobile devices with virtualization.
  • Keywords
    embedded systems; meta data; mobile computing; storage management; virtual machines; virtualisation; I/O operation; I/O optimization technique; I/O traffic reduction; NAND-flash-based storage systems; VM image file; flash memory lifetime; guest file system; hardware embedded platform; input-output traffic reduction; meta data update; mobile virtualization; nonvolatile memory; software stacks; virtual machine meta data optimization; Ash; Educational institutions; Mobile communication; Nonvolatile memory; Performance evaluation; Phase change materials; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2014 IEEE
  • Conference_Location
    Chongqing
  • Type

    conf

  • DOI
    10.1109/NVMSA.2014.6927204
  • Filename
    6927204