• DocumentCode
    3011741
  • Title

    An Efficient Disk I/O Characteristics Collection Method Based on Virtual Machine Technology

  • Author

    Yu-Liang Shen ; Lu Xu

  • Author_Institution
    Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    943
  • Lastpage
    949
  • Abstract
    The disk I/O performance may be the bottleneck in computer system, because of the mechanism characters of hard disk system. In order to tune the system performance effectively, the collection of the disk I/O workload characteristics is the essential step for the performance optimization work. Compared to other I/O characteristics collection method, this paper presents a kind of efficient on-line I/O characteristics analysis method based on Xen 3.0 virtual machine monitor. In virtual machine environment, this method can be transparent to the unmodified operating system. This method can be used to collecting a comprehensive set of essential I/O characteristics metrics. Through the testing, we found that this method has little system overhead and impact on the application system I/O performance. In addition, we demonstrate our I/O characteristics analysis results under the large file copy and the filebench benchmark workload.
  • Keywords
    input-output programs; virtual machines; Xen 3.0 virtual machine monitor; computer system performance tuning; disk I/O performance; disk I/O workload characteristic collection method; filebench benchmark workload; hard disk system; large file copy; operating system; performance optimization; Application software; Computers; Hard disks; High performance computing; Operating systems; Optimization; System performance; System testing; Virtual machine monitors; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.92
  • Filename
    4637807