Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
A New Markov Model For Web Access Prediction
Computing in Science and Engineering
A Data Mining Algorithm for Generalized Web Prefetching
IEEE Transactions on Knowledge and Data Engineering
An Experimental Framework for Testing Web Prefetching Techniques
EUROMICRO '04 Proceedings of the 30th EUROMICRO Conference
Web prefetching performance metrics: a survey
Performance Evaluation
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Web prefetch performance evaluation in a real environment
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
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Since web prefetching techniques were proposed in the second half of the 90s as mechanisms to reduce final users’ perceived latency, few attempts to evaluate their performance have been done in the research literature. Even more, to the knowledge of the authors this is the first study that evaluates different proposals from the user’s point of view, i.e., considering the latency perceived by the user as the key metric. This gap between the proposals and their correct performance comparison is due to the difficulty to use a homogeneous framework and workload. This paper is aimed at reducing this gap by proposing a cost-benefit analysis methodology to fairly compare prefetching algorithms from the user’s point of view. The proposed methodology has been used to compare three of the most used algorithms in the bibliography, considering current workloads.