Rough Neuro-PSO Web caching and XML prefetching for accessing Facebook from mobile environment
Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham · 2009
Prefetching and Web caching have been known as techniques to increase the speed of Web loading process. Previous studies have been conducted to infuse artificial intelligence such as Artificial Neural Network (ANN) into Web caching. In this paper, we propose a new hybrid technique based on combination of ANN and Particle Swarm Optimization (PSO) for classification Web object either to cache or not and generate rules from log data by using Rough Set technique on proxy server (Rough Neuro-PSO). It is needed because mobile context has limited resources like speed and memory. Our method is by using XML file for prefetching which is saved into mobile memory. Prefetching that used xml file is much faster to be searched or accessed. In Web caching side, we enhance the speed by using Rough Neuro-PSO in order to choose the log. At the end of this paper, we present a new framework that is believed to speed up the access of Web page in mobile environment context.