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Logistic regression in an adaptive Web cache

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3 Author(s)
A. P. Foong ; Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA ; Yu-Hen Hu ; D. M. Heisey

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

Published in:

IEEE Internet Computing  (Volume:3 ,  Issue: 5 )