• DocumentCode
    2613760
  • Title

    Deadlock detection in distributed database systems: a performance evaluation study

  • Author

    Bukhres, Omran ; Magel, Kenneth

  • Author_Institution
    Dept. of Comput. Sci., Moorehead State Univ., MN, USA
  • fYear
    1991
  • fDate
    11-13 Sep 1991
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    A description is presented of a performance evaluation study of three proposed distributed deadlock detection algorithms, namely, fully centralized, partially distributed, and fully distributed deadlock detection algorithms. The authors investigate and describe the extent to which these algorithms provide an increase in the level of multiprogramming, and an increase in the number of blocked, restarted transactions. A list of performance parameters and evaluation criteria is also described. It is shown that, in general, the partially distributed algorithm provides the best performance
  • Keywords
    concurrency control; database theory; distributed databases; performance evaluation; programming theory; transaction processing; blocked transactions; distributed database systems; distributed deadlock detection algorithms; fully centralized; fully distributed; multiprogramming; partially distributed; performance evaluation; restarted transactions; Classification algorithms; Computer science; Concurrent computing; Database systems; Detection algorithms; Distributed algorithms; Neodymium; Resource management; System recovery; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 1991. COMPSAC '91., Proceedings of the Fifteenth Annual International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-8186-2152-4
  • Type

    conf

  • DOI
    10.1109/CMPSAC.1991.170155
  • Filename
    170155