• DocumentCode
    3143976
  • Title

    Concurrent file reorganization for record clustering: a performance study

  • Author

    Omiecinski, Edward ; Lee, Liehuey ; Scheuermann, Peter

  • Author_Institution
    Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1992
  • fDate
    2-3 Feb 1992
  • Firstpage
    265
  • Lastpage
    272
  • Abstract
    The authors presents performance analysis of a concurrent file reorganization algorithm. They examined the effect of buffer size, degree of reorganization, and write probability of transactions on system throughput. The problem of file reorganization considered involves altering the placement of records on pages on a secondary storage device. This reorganization must be done in-place. The approach is appropriate for a non-in-place reorganization. The motivation for such a physical change is to improve the database system´s performance, by minimizing the number of page accesses made in answering a set of queries. It is shown through simulation that the algorithm, when run concurrently with user transactions, provides an acceptable level of overall database system performance
  • Keywords
    buffer storage; database management systems; performance evaluation; storage management; transaction processing; buffer size; concurrent file reorganization algorithm; database system performance; queries; record clustering; user transactions; write probability; Clustering algorithms; Concatenated codes; Database systems; Educational institutions; Indexes; Performance analysis; Relational databases; Throughput; Transaction databases; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1992. Proceedings. Eighth International Conference on
  • Conference_Location
    Tempe, AZ
  • Print_ISBN
    0-8186-2545-7
  • Type

    conf

  • DOI
    10.1109/ICDE.1992.213184
  • Filename
    213184