Article details

Title: Improving Hypermedia Delivery Using Prefetching Techniques
Author(s): Cezar Pleşca   Vincent Charvillat   Romulus Grigoraş         

Abstract: Interaction with hypermedia documents is a required feature for new sophisticated, yet flexible, multimedia applications. This paper deals with hypermedia content delivery aiming to reduce navigation latencies by means of prefetching. The problem is solved using two methods: classical stochastic dynamic programming algorithms and reinforcement learning. We build upon a formal framework able to derive optimal prefetching strategies integrating both user behavior and resources availability. We extend this framework and propose more complex and aggressive policies. The proposed extensions and the associated strategies are validated through comparison with the original model and some heuristic approaches.

Keywords: prefetching policies, hypermedia, Markov Decision Processes, multimedia, reinforcement learning.

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