• DocumentCode
    899102
  • Title

    On coupling multiple systems with a global buffer

  • Author

    Chen, Ming-Syan ; Yu, Philip S. ; Yang, Tao-Heng

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    8
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    We conduct a performance study of coupling multiple systems with a global buffer, and present several results obtained from a multiple-system simulator. This simulator has been run against three workloads, and the coupled system behavior with these three different inputs is studied. Several statistics, including those on local and global buffer hits, page writes to the global buffer, cross-invalidations, and castouts are reported. Their relationship to the degree of data skew is explored. Moreover, in addition to the update-caching approach, a design alternative for the use of a global buffer, namely read-caching, is explored. In read-caching, not only updated pages but also pages read by each node are kept in the global buffer, thereby facilitating other nodes access to the same pages at the cost of a higher global buffer usage. Also investigated is the case of no-caching, i.e., without using a global buffer. Several simulation results are presented and analyzed
  • Keywords
    buffer storage; cache storage; distributed databases; software performance evaluation; transaction processing; virtual machines; castouts; cost; coupled system behavior; cross-invalidations; data sharing; data skew; database transaction processing; design; global buffer; global buffer hits; local buffer hits; multiple systems coupling; multiple-system simulator; no-caching; nodes access; page writes; performance study; read-caching; simulation; statistics; update-caching; workloads; Analytical models; Art; Clustering methods; Context modeling; Costs; Programming; Statistics; Stochastic processes; Taxonomy; Transaction databases;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.494171
  • Filename
    494171