• DocumentCode
    3217835
  • Title

    DS-MOSD: A Dynamic Selectable Master OSD Model for Large-Scale Object-Based Storage System

  • Author

    Yue, Yinliang ; Wang, Fang ; Feng, Dan

  • Author_Institution
    Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    25-28 March 2008
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    I/O performance for very large-scale storage systems has become more and more important as the need for storage has grown dramatically. Replication is one of the most important approaches to improve the I/O performance of massive distributed storage system. The storage node to which the Read/Write request is directed is the critical issue when multiple replicas exist in some different storage nodes simultaneously. This paper proposes and evaluates a novel master OSD model, called Dynamic Selectable Master OSD (DS- MOSD), which allows client to direct the Read/Write request to the optimized OSD. This approach has the salient advantage of simultaneously improving I/O performance and balancing the loads of all the OSDs. This paper first describes the architecture of Master OSD and characterizes the advantages of this model contrasting to the pseudo random hash function. Then an improved model, which is considered as DS-MOSD, is presented and evaluated. The experimental results show that the load unbalance degree and network overheads of DS-MOSD model are smaller than that of Fixed MOSD model, while the success probability of Write/Update transactions of DS-MOSD model is larger than that of Fixed MOSD model.
  • Keywords
    distributed processing; input-output programs; storage management; I/O performance; distributed storage system; dynamic selectable master OSD; large scale object-based storage system; read-write request; Application software; Computer science; Delay; Explosions; File systems; Large-scale systems; Load modeling; Memory; Protocols; Secure storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
  • Conference_Location
    Okinawa
  • Print_ISBN
    978-0-7695-3096-3
  • Type

    conf

  • DOI
    10.1109/WAINA.2008.185
  • Filename
    4482901