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
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;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/4236.793455
