• DocumentCode
    2627774
  • Title

    iOSDC : A Novel Autonomous Intelligent OSD Cluster

  • Author

    Yue, Yinliang ; Wang, Fang ; Feng, Dan

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    1547
  • Lastpage
    1552
  • Abstract
    As the requirement for Peta-scale massive storage system, Object-based Storage Device (OSD) protocol has already been the mainstream in the next generation storage technology. However, in recent research, most actions in OSD remain the passive way, because of the request-driven model. As partial storage management functions are offloaded to OSD, the construction of an intelligent OSD has caught the fancy of most researchers. In this paper, we propose a novel autonomous intelligent OSD Cluster (iOSDC). In iOSDC, every OSD is intelligent, called intelligent OSD (iOSD) and all the objects are intelligent, called intelligent OBJECT (iOBJECT). Methods, rules, trigger and feed back mechanism are introduced into object defined in OSD-2 draft, so an object is comprised of data, attributes, methods, rules, trigger and feedback mechanism. After the relationship among these six components is built up, the object is no longer passive, but active. Furthermore, some specific objects are introduced into OSDs, these specific objects can enhance the intelligence of OSD. Collaboration of all the iOSDs gives birth to the intelligent OSD Cluster. Based on the requirements of iOSDC, some enhancements have been performed onto the T10 OSD- 2 draft.
  • Keywords
    knowledge based systems; object-oriented programming; storage management; Peta-scale massive storage system; autonomous intelligent OSD cluster; iOSDC; intelligent OBJECT; object-based storage device protocol; partial storage management; request-driven model; Computer science; Computer science education; Data storage systems; Educational technology; Feedback; Feeds; Humans; Information technology; Laboratories; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.115
  • Filename
    4420474