• DocumentCode
    3199767
  • Title

    Locking granularity in multiprocessor database systems

  • Author

    Dandamudi, S. ; Au, Siu-Lun

  • Author_Institution
    Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont., Canada
  • fYear
    1991
  • fDate
    8-12 Apr 1991
  • Firstpage
    268
  • Lastpage
    277
  • Abstract
    The effects of locking granularity in a shared-nothing multiprocessor database system are analyzed. The analysis shows that when the system is lightly loaded fine granularity (one lock per database entity) is needed when transactions access the database randomly. However, when transactions access the database sequentially, coarse granularity is desired. When the system is heavily loaded, coarse granularity is desirable. The results also indicate that horizontal partitioning results in better performance than random partitioning
  • Keywords
    distributed databases; coarse granularity; horizontal partitioning; locking granularity; multiprocessor database systems; shared-nothing; Computer science; Concurrency control; Concurrent computing; Costs; Database machines; Database systems; Gold; System performance; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1991. Proceedings. Seventh International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-8186-2138-9
  • Type

    conf

  • DOI
    10.1109/ICDE.1991.131474
  • Filename
    131474