• DocumentCode
    2239143
  • Title

    Performance Prediction of Distributed RAID Storage System

  • Author

    Liu, Jun ; Cui, Baojiang

  • Author_Institution
    Dept. of Inf. Sci. & Technol., Tianjin Univ. of Finance & Econ., Tianjin, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    Since information is growing explosively, the requirements for high performance storage systems are critical in practical applications. The research on performance prediction has become increasingly important in the area of distributed storage systems. This paper presents the architecture of iSCSI-based distributed RAID storage system. At the basis of analyzing the system data flow, the stochastic Petri net model of the system is constructed. And then an analytical method for computing system I/O response time is proposed utilizing equivalent conversion of serial or parallel transitions. Theoretical analyses show that bandwidth is the bottleneck of distributed RAID storage system in low-speed network; cache hit rate and CPU processing power at central server are the main factors affecting the I/O response time in high-speed network. The performance of distributed RAID system can be improved through increasing the network bandwidth and the performance of the centre node.
  • Keywords
    Petri nets; RAID; digital storage; distributed memory systems; performance evaluation; stochastic processes; CPU processing power; computing system I/O response; distributed RAID storage system performance prediction; iSCSI- based distributed RAID storage system; stochastic Petri net model; Bandwidth; Computer architecture; Concurrent computing; Delay; High-speed networks; Information science; Network servers; Performance analysis; Stochastic systems; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.831
  • Filename
    5455783