Logistic regression in an adaptive Web cache

被引：23

作者：

Foong, AP

Hu, YH

Heisey, DM

机构：

[1] Univ Wisconsin, Dept Surg, Madison, WI 53706 USA

[2] Univ Wisconsin, Dept Elect & Comp Engn, Madison, WI USA

来源：

IEEE INTERNET COMPUTING | 1999年 / 3卷 / 05期

关键词：

D O I：

10.1109/4236.793455

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：27 / 36

页数：10

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