• DocumentCode
    959578
  • Title

    Efficiently serving dynamic data at highly accessed web sites

  • Author

    Challenger, James R. ; Dantzig, Paul ; Iyengar, Arun ; Squillante, Mark S. ; Zhang, Li

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    12
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    233
  • Lastpage
    246
  • Abstract
    We present architectures and algorithms for efficiently serving dynamic data at highly accessed Web sites together with the results of an analysis motivating our design and quantifying its performance benefits. This includes algorithms for keeping cached data consistent so that dynamic pages can be cached at the Web server and dynamic content can be served at the performance level of static content. We show that our system design is able to achieve cache hit ratios close to 100% for cached data which is almost never obsolete by more than a few seconds, if at all. Our architectures and algorithms provide more than an order of magnitude improvement in performance using an order of magnitude fewer servers over that obtained under conventional methods.
  • Keywords
    Internet; Web sites; cache storage; Web server; cache hit ratio; cached data; dynamic content; dynamic data; highly accessed Web site; static content; Algorithm design and analysis; Databases; Performance analysis; Prefetching; Service oriented architecture; Stochastic processes; System analysis and design; Web page design; Web pages; Web server;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2004.826289
  • Filename
    1288129