• DocumentCode
    2175441
  • Title

    A study of database buffer management approaches: towards the development of a data mining based strategy

  • Author

    Feng, Ling ; Lu, Hongjun ; Wong, Allan

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech., Hong Kong
  • Volume
    3
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    2715
  • Abstract
    The problem of buffer management in database systems is concerned with efficient main memory allocation and replacement for answering database queries. The goal is to reduce disk operations and enhance the system throughput by utilizing a dedicated buffer pool for caching database pages. This paper provides an in-depth study of current buffer management techniques for database systems. Through surveying existing work, we propose a data mining based approach to buffer management. Different from previous approaches where limited knowledge of user access patterns is used, the proposed approach discovers knowledge from database access sequences and uses it to guide buffer management. To assess the performance of the proposed approach, we construct a simulation model and conduct a series of experiments. The results show that with the help of the discovered knowledge, the buffer hit ratio can be improved significantly
  • Keywords
    data mining; database management systems; query processing; resource allocation; buffer management; data mining; database systems; memory allocation; query process; simulation model; Buffer storage; Clocks; Computer science; Data mining; Database systems; Knowledge management; Management information systems; Memory management; Throughput; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.725071
  • Filename
    725071