Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Using speculation to reduce server load and service time on the WWW
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Optimal prefetching via data compression
Journal of the ACM (JACM)
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SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
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SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Predicting web actions from HTML content
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Pre-sending Documents on the WWW: A Comparative Study
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Determining WWW User's Next Access and Its Application to Pre-fetching
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
Neural Nets Based Predictive Prefetching to Tolerate WWW Latency
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Web-application centric object prefetching
Journal of Systems and Software
Active e-document framework ADF: model and tool
Information and Management
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Object prefetching using semantic links
ACM SIGMIS Database
Using current web page structure to improve prefetching performance
Computer Networks: The International Journal of Computer and Telecommunications Networking
Short Survey: A taxonomy of web prediction algorithms
Expert Systems with Applications: An International Journal
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The growth of the Internet has generated Web pages that are rich in media and that incur significant rendering latency when accessed through slow communication channels. The technique of Web-object prefetching can potentially expedite the presentation of Web pages by utilizing the current Web page's view time to acquire the Web objects of likely future Web pages. The performance of the Web object prefetcher is contingent on the predictability of future Web pages and quickly determining which Web objects to prefetch during the limited view time interval of the current Web page. The proposed Markov-Knapsack method uses an approach that combines a Multi-Markov Web-application centric prefetch model with a Knapsack Web object selector to enhance Web page rendering performance. The Markov Web page model ascertains the most likely next Web page set based on the current Web page and the Web object Knapsack selector determines the premium Web objects to request from these Web pages. The results presented in the paper show that the proposed methods can be effective in improving a Web browser cache-hit percentage while significantly lowering Web page rendering latency.