Abstract
Identifying web user activity and interest of the users helps to improve the web access performance. Web usage mining applications like website enhancement, web personalization, prediction and prefetching etc. are used to improve the web performance. Increasing web usage in internet leads to network traffic, user latency, and server burden. Proxy server acts as an intermediate between the web user and web server to reduce the server burden. Updating dynamic content in a proxy cache is the major drawback in proxy server. In recent days various new add-on algorithms are given to server to reduce user latency but then it has become additional overload of the server. In this paper, the work is organised with three portions; the first portion focused in optimized way of running Monte Carlo prediction algorithm to reduce the server load. Second portion works on dynamic content to get update in the proxy cache to improve the performance of the website and finally the third portion deals with the prefetching engine in proxy server which maintains two caches to reduce server load and also to reduce user latency. The successful implementation shows the optimized way of reducing server load for add-on programs.
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Chen, M.S., Park, J.S., Yu, P.S.: Data mining for path traversal patterns in a web environment. In: Sixteenth International Conference on Distributed Computing Systems, pp. 385–392 (1996)
Punin, J., Krishnamoorthy, M., Zaki, M.: Web usage mining: languages and algorithms. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Heidelberg (2001)
Batista, P., Silva, M.J.: Mining web access logs of an on-line newspaper (2002)
Zaiane, O.R., Xin, M., Han, J.: Discovering web access patterns and trends by applying OLAP and data mining technology on web logs. In: ADL 1998: Proceedings of the Advances in Digital Libraries Conference, Washington, DC, USA, pp. 1–19. IEEE Computer Society (1998)
https://softwareengineering.stackexchange.com/questions/191840/how-web-servers-identify-a-client
Grace, L.K., Maheswari, V., Nagamalai, D.: Analysis of web logs and web user in web mining (2011). arXiv preprint: arXiv:1101.5668
Davison, B.D., Wu, B.: Implementing a web proxy evaluation architecture. In: Proceedings of the 30th International Conference for the Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG) (2004)
Sharma, S., Rana, V.: Web user identification: a review of approaches and issues. Int. J. Comput. Eng. Technol. (IJCET) 8(4), 12–18 (2017)
Ivancsy, R., Juhasz, S.: Analysis of web user identification methods. World Acad. Sci. Eng. Technol. 2(3), 212–219 (2007)
Datta, A., et al.: A proxy-based approach for dynamic content acceleration on the WWW. In: Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS 2002). IEEE (2002)
Yuan, C., Hua, Z., Zhang, Z.: Proxy+: simple proxy augmentation for dynamic content processing. In: Web Content Caching and Distribution, pp. 91–108. Springer, Dordrecht (2004)
Hussain, S., McLeod, R.D.: Intelligent prefetching at a proxy server. In: 2000 Canadian Conference on Electrical and Computer Engineering, vol. 1. IEEE (2000)
Shyamala, K., Kalaivani, S.: Application of Monte Carlo search for performance improvement of webpage prediction. Int. J. Eng. Technol. (UAE) 7(3–4), 133–137 (2018)
Shyamala, K., Kalaivani, S.: Enhanced webpage prediction using rank based feedback process. Lecture Notes in Computational Science and Engineering. Springer (accepted)
Horng, Y.-W., Lin, W.-J., Mei, H.: Hybrid prefetching for WWW proxy servers. In: Proceedings of the 1998 International Conference on Parallel and Distributed Systems. IEEE (1998)
Yeh, T., Pan, Y.: Improving the performance of the web proxy server through group prefetching. In: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication. ACM (2012)
Gracia, C.D., et al.: Prefetching in information superhighway-a retrospective study
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Shyamala, K., Kalaivani, S. (2020). Improvement of Web Performance Using Optimized Prediction Algorithm and Dynamic Webpage Content Updation in Proxy Cache. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_20
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DOI: https://doi.org/10.1007/978-3-030-28364-3_20
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