Web Prefetching based on Data Mining Technology (DMT)
Qiurong Jiang, Haiyin Ou · 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) · 2022
With the rapid development of the Internet, the amount of web system visits is increasing, and the problems of network congestion and user access delay are becoming more and more serious. The existing network bandwidth cannot meet the user’s service requests. Therefore, data caching technology came into being. Caching technology stores some data in server memory or client, which can well solve the above problems. However, most of the usual caching technologies only consider the management process of all cached data, but do not consider the management process of data objects with different access frequencies in cached data, resulting in low cache hit rate. Based on this, this paper studies and analyzes the application of DMT in Web Prefetching, analyzes and discusses the principle of Web data mining and the design and implementation of Web Prefetching model, and puts forward the mining technology of page association rules (AR); The selection and test of prefetching strategy are carried out to verify the optimization performance of prefetching algorithm. The Web Prefetching Method using data mining is feasible in practice.