• DocumentCode
    1719769
  • Title

    Storage reclamation and reorganization in client-server persistent object stores

  • Author

    Yong, Voon-Fee ; Naughton, Jeffrey F. ; Yu, Jie-Bing

  • Author_Institution
    Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA
  • fYear
    1994
  • Firstpage
    120
  • Lastpage
    131
  • Abstract
    The authors develop and evaluate a number of storage reclamation algorithms for client-server persistent object stores. Experience with a detailed simulation and a prototype implementation in the Exodus storage manager shows that one of the proposed algorithms, the Incremental Partitioned Collector, is complete, maintains transaction semantics, and can be run incrementally and concurrently with client applications. Furthermore, it can significantly improve subsequent system performance by reclustering data, rendering it attractive even for systems that choose not to support automatic storage reclamation
  • Keywords
    distributed processing; file organisation; object-oriented databases; object-oriented programming; Exodus storage manager; Incremental Partitioned Collector; automatic storage reclamation; client applications; client-server persistent object stores; data reclustering; prototype implementation; simulation; storage reclamation algorithms; storage reorganization; system performance; transaction semantics; Application software; Lab-on-a-chip; Object oriented modeling; Object oriented programming; Parallel processing; Partitioning algorithms; Programming profession; Prototypes; Storage automation; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1994. Proceedings.10th International Conference
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-8186-5402-3
  • Type

    conf

  • DOI
    10.1109/ICDE.1994.282998
  • Filename
    282998