Document Type

Conference Proceeding

Publication Date

1-1-1997

Abstract

The World Wide Web (WWW) has experienced a dramatic increase in popularity since 1993. Many reports indicate that its growth will continue at an exponential rate. This growth has created a tremendous increase in network loads and user response times. The complexity and diversity of many WWW documents (e.g., texts, images, video, audio, etc.) and the diversity of user requested WWW information require sophisticated WWW cache management strategies. Several popular WWW cache algorithms perform rather poorly and lack mathematical or empirical foundations. As a result, WWW system administrators and browser users are forced to arbitrarily define certain important cache parameters. Typically, such systems perform sub-optimally averaging hit rates below 55%. Our objective in this study is to develop a cache management strategy that is based on sound theory and principles from the information sciences and that can be utilized on-line, in real-time. Our approach is to study current cache algorithms and utilize actual empirical data to develop efficient and effective self-adaptive cache management strategies to handle anticipated Web growth.

Publication Source (Journal or Book title)

Winter Simulation Conference Proceedings

First Page

1045

Last Page

1052

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