Research on Mobile Data Model System for Optimizing the Performance of Computer Web Front End
Tang Meiyan · 2021 IEEE International Conference on Data Science and Computer Application (ICDSCA) · 2021
With the continuous development of Web front-ends, Web pages have become more and more complex, and strong interactivity has brought about the skyrocketing of page status, and more and more DOM operations are used to update pages. However, frequent DOM operations make page rendering slow and cause front-end performance bottlenecks. In view of the low performance of the Web front-end, we analyze and summarize the B/S architecture principles from the back-end to the front-end of the Web, browser caching, browser loading methods, server configuration related to HTTP, and other processes that affect the front-end performance optimization. Factors, systematically propose a complete Web front-end performance optimization solution designed to improve web page loading speed, rendering speed and user experience, with strong integrity and versatility. In order to effectively reduce the waiting time of users, a calculation model of connection request scheduling weight is proposed, and a request scheduling algorithm SACC is proposed on the basis of this model. Experiments have proved that the algorithm can effectively reduce the TDD and TSR indicators of web pages. In the experimental platform IE7, the average reduction rate is 13% and 25% respectively.