A User Modeling Approach for Server Request Prediction

Abstract

This article describes a model to perform user request prediction for remote data servers. It is useful to improve the user perceived latency of client requests. In this contribution, not only the mathematical formulas for the prediction theory are derived, but also the methodological approach to model adequate user behavior. The evaluation results of the provided prediction model are very promising and allow also reversed engineering: user request behavior can thus be classified.