Web Caching Replacement Based on User's Visiting Action

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Web server aims to service clients sensitively and clients wish to explore web sites at fast bandwidth. Nevertheless, sometimes users can only get the web content at a slow response due to the slow communication. Using data buffering technique, web cache provides clients an alternative way to acquire the web content from web server at low cost and high bandwidth. Using web cache technique, users can get fast response at low communication cost. When quantities of data are buffered to the cache server, cache policy becomes an important factor which can clearly affect the performance efficiency. Our contribution is that we take full account of the user's visiting action and redesign the cache policy. Based on this, we compare our policy (UVA) with existing method (LFU) through series of experiments. The results show that our method can efficiently improve cache hit rate.

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25-30

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March 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Podlipnig, S., et al. A survey of Web cache replacement strategies. ACM Comput. Surv. , 2003. 35 (4): pp.374-398.

DOI: 10.1145/954339.954341

Google Scholar

[2] Romano, S. and H, ElAarag. A quantitative study of recency and frequency based web cache replacement strategies. in Proceedings of the 11th communications and networking simulation symposium. 2008. Ottawa, Canada : ACM.

DOI: 10.1145/1400713.1400725

Google Scholar

[3] Ye, F., Q. Li, and E. Chen. Adaptive caching with heterogeneous devices in mobile peer to peer network. in Proceedings of the 2008 ACM symposium on Applied computing. 2008. Fortaleza, Ceara, Brazil : ACM.

DOI: 10.1145/1363686.1364146

Google Scholar

[4] Koskela, T., J. Heikkonen, and K. Kaski. Web cache optimization with nonlinear model using object features. Comput. Netw. , 2003. 43 (6): pp.805-817.

DOI: 10.1016/s1389-1286(03)00334-7

Google Scholar

[5] Zhu, Y. and Y, Hu. Exploiting client caches to build large Web caches. J. Supercomput. , 2007. 39 (2): pp.149-175.

DOI: 10.1007/s11227-007-0108-6

Google Scholar

[6] Yin, J., et al. Engineering web cache consistency. ACM Trans. Internet Technol, 2002. 2 (3): pp.224-259.

DOI: 10.1145/572326.572329

Google Scholar

[7] Cobb, J. and H. ElAarag. Web proxy cache replacement scheme based on back-propagation neural network. J. Syst. Softw. , 2008. 81 (9): pp.1539-1558.

DOI: 10.1016/j.jss.2007.10.024

Google Scholar

[8] Belloum, A., L.O. Hertzberger, and H. Muller. Scalable Federation of Web Cache Servers. World Wide Web, 2001. 4 (4): pp.255-275.

DOI: 10.1023/a:1015181701674

Google Scholar

[9] Gupta, V.S. Trust and accountability issues in scalable invalidation-based web cache consistency. SIGOPS Oper. Syst. Rev, 2005. 39 (4): pp.23-36.

DOI: 10.1145/1088446.1088449

Google Scholar

[10] Yu, H., L. Breslau, and S. Shenker. A scalable Web cache consistency architecture. in Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication. 1999. Cambridge, Massachusetts, United States: ACM.

DOI: 10.1145/316188.316219

Google Scholar

[11] Wessels, D. Web Caching. ed. N. Torkington. 2001: O'Reilly; Associates, Inc. 300.

Google Scholar