Abstract
In this paper, we present a novel application of connectionist neural modeling to map web page requests to web server cache to maximize hit ratio and at the same time balance the conflicting request of distributing the web requests equally among web caches. In particular, we describe and present a new learning algorithm for a fast Web page allocation on a server using self-organizing properties of neural network. We present a prefetching scheme in which we apply our clustering technique to group users and then prefetch their requests according to the prototype vector of each group. Our prefetching scheme has prediction accuracy as high as 98.18%. A detailed experimental analysis is presented in this paper.
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References
Beck, M., Moore, T.: The Internet2 Distributed Storage Infrastructure Project: An architecture for Internet content channels. In: Proc. Of 3rd Workshop on WWW Caching, Manchester, England (June 1998)
Phoha, V.: Image Recovery and Segmentation Using Competitive Learning in a Computational Network. Ph.D. Dissertation 1992, Texas Tech University, Lubbock, Texas (1992)
Paxson, V., Floyd, S.: Wide-area traffic: The failure of Poisson modeling. IEEE/ACM Transactions on Networking 3(3), 226–244 (1995)
Iyengar, A., Challenger, J.: Improving Web Server Performance by Caching Dynamic Data. In: Proceedings of the USENIX Symposium on Internet Technologies and Systems (December 1997)
Kohonen, T.: Self-Organization and Associative Memory, 3rd edn. Springer, Berlin (1989)
Crovella, M.E., Bestavros, A.: Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes. IEEE/ACM Transactions on Networking 5(6), 835–846 (1997)
Cardellini, V., Colajanni, M., Yu, P.: DNS Dispatching Algorithms with State Estimators for Scalable Web-server Clusters. World Wide Web Journal, Baltzer Science 2(2) (July 1999)
Cardellini, V., Colajanni, M., Yu, P.: Dynamic Load Balancing on Web-server Systems. IEEE Internet Computing 3(3), 28–39 (1999)
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© 2005 Springer-Verlag Berlin Heidelberg
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You-wei, Y., La-mei, Y., Qing-ping, G. (2005). An Efficient Web Page Allocation on a Server Using Adaptive Neural Networks. In: Zhang, Y., Tanaka, K., Yu, J.X., Wang, S., Li, M. (eds) Web Technologies Research and Development - APWeb 2005. APWeb 2005. Lecture Notes in Computer Science, vol 3399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31849-1_72
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DOI: https://doi.org/10.1007/978-3-540-31849-1_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25207-8
Online ISBN: 978-3-540-31849-1
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