A scheme for adaptive web caching based on multi level object classification

Multi-level classification of web objects in caching is relatively an unexplored area. This paper proposes a novel caching scheme which utilizes a multi-level class information. A MLR (Multinomial Logistics Regression) based classifier is constructed using the information from web logs. Simulation results confirm that the model has good prediction capability and suggest that the proposed approach can improve the performance of the cache substantially.