Affiliation:
1. Government Polytechnic College, Dharmapuri, India
Abstract
Many significant advancements in web technology have resulted in the fast expansion of the world wide web (WWW) and web development. WWW employs a variety of technologies to improve communication with internet users, yet user frustrations exist. Adding a new resource and distributing network traffic over one or more resources is one possible solution to this problem. Web caching is a popular strategy for reducing network traffic by storing websites closer to the client site. A proxy server is in charge of web caching, which operates as a middleman between the web server and the web client, reducing latency in page retrieval. This proxy-based web caching solution may be enhanced further to regulate web performance. As a result, this chapter focuses on how to improve the proxy-based web caching system. It optimises the speed of the proxy-based web caching system using web usage mining (WUM).
Reference41 articles.
1. Discovering Internet marketing intelligence through online analytical web usage mining
2. Anderson, C. R. (2002). A Machine Learning Approach to Web Personalization [Ph.D. Thesis]. University of Washington.
3. An overview of web caching replacement algorithms
4. BamshadM. (2007). Data Mining for Web Personalization. LCNS, Springer-Verleg Berlin.
5. The anatomy of a large-scale hypertextual Web search engine
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Practical Survey Private Search Engine Over the Web 3.0;Advances in Web Technologies and Engineering;2024-08-16