• DocumentCode
    1556883
  • Title

    Logistic regression in an adaptive Web cache

  • Author

    Foong, Annie P. ; Hu, Yu-Hen ; Heisey, Dennis M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    3
  • Issue
    5
  • fYear
    1999
  • Firstpage
    27
  • Lastpage
    36
  • Abstract
    Adaptive Web caching offers a way to improve network performance using current technologies. The challenge facing researchers is to determine what objects should be cached. As biostatisticians use regression models to predict the risk of disease development, the authors use a logistic regression model to predict the cache worthiness of Web objects
  • Keywords
    Internet; cache storage; information resources; statistical analysis; Internet; Web objects; adaptive Web cache; cache worthiness; logistic regression; network performance; Access protocols; Image coding; Intelligent networks; Logistics; Modems; Multimedia systems; Web and internet services; Web pages; Web server; Web sites;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/4236.793455
  • Filename
    793455
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1556883