• DocumentCode
    3433392
  • Title

    A research on storage performance optimization of virtual machine

  • Author

    Dongsheng Yin ; Jianan Liang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    547
  • Lastpage
    551
  • Abstract
    Nowadays, virtualization technology, which is one of the key technology of cloud computing, is facing new challenges and development opportunities with the rise of cloud computing. As a typical application of virtualization, virtual machine can play the role of the segmentation and reintegration of underlying physical resources, improving the utilization of server hardware resources and reducing energy consumption. However, the virtual machine system using the traditional storage scheme leads to poor virtual machine storage performance. It needs to pay more attention to the poor virtual machine storage performance and optimize the storage performance of it. In this paper, a deep research of how traditional storage scheme leads to poor virtual machine storage performance is done by an experiment, then a series of optimizing solution based on SSD (Solid State Drive) and RAID technology is proposed with related test.
  • Keywords
    RAID; cloud computing; resource allocation; storage management; virtual machines; virtualisation; RAID technology; SSD; cloud computing; energy consumption reduction; server hardware resources utilization; solid state drive; storage performance optimization; underlying physical resources reintegration; underlying physical resources segmentation; virtual machine; virtualization technology; Cloud computing; Hard disks; Hardware; Operating systems; Servers; Subspace constraints; Virtual machining; RAID; SSD; cloud computing; storage performance; virtual machine; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028698
  • Filename
    6028698