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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...
E-learning has been a common online service to support teaching and learning in education. Universiti Teknologi Malaysia (UTM) has been using such service that is known as e-Learning@UTM since 2005. The demand for e-learning content increases dramatically every semester. The performance of e-learning servers reduces when the number of users for each semester keeps growing. Hence users often experience...
The demand for Internet content rose dramatically. Servers became more and more powerful and the bandwidth of end user connections and backbones grew constantly. Nevertheless users often experience poor performance when they access Web sites or download files. Reasons for such problems are often performance problems which occur directly on the servers (e.g. poor performance of server-side applications...
Mobile Web pre-caching (Web prefetching and caching) is an explication of performance enhancement and storage limitation of mobile devices. In this paper, we present the granularity of rough sets (RS) and RS based inductive learning in reducing the size of rules to be stored in mobile devices. The conditional attributes such as 'timestamp', 'size document' and 'object retrieval time' are presented...
Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three significant advantages to Web caching; reduced bandwidth consumption, reduced server load, and reduced latency. These rewards have made the Web less expensive with better performance. In this paper, an Artificial Intelligence...
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