Web prefetching between low-bandwidth clients and proxies: potential and performance
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Neural Nets Based Predictive Prefetching to Tolerate WWW Latency
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
A data cube model for prediction-based web prefetching
Journal of Intelligent Information Systems - Special issue on web intelligence
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Exploring the bounds of web latency reduction from caching and prefetching
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Quantitative analysis of zipf’s law on web cache
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
A PPM prediction model based on web objects' popularity
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
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Web prefetching is a promising solution used to reduce user's latency and improve the QOS.This paper presents a popularity-based selective Markov prefetching model for predicting the forthcoming Web pages.We make use of teh Zipf's law to model the Web objects' popularity.An experimental evaluation of the prefetching mechanism is presented using real server logs.Our trace-driven simulation results show that the popularity-based selective.Markov prefetching model can achieve a good hit ratio with reducing the traffic load to some degree.