Big Data Intelligent Analysis Based Web Front-end Performance Optimization and Its Application Research

Yuhua Wei
{"title":"Big Data Intelligent Analysis Based Web Front-end Performance Optimization and Its Application Research","authors":"Yuhua Wei","doi":"10.1109/ICERECT56837.2022.10060290","DOIUrl":null,"url":null,"abstract":"With the development of information technology, Web application systems are being used by more and more users. As the user base increases, the number of concurrent accesses continues to increase, leading to a decline in the quality of service of web systems. This paper will analyse the importance of web front-end performance optimisation of big data intelligent analysis to the whole system, and introduce the optimisation model of web front-end performance based on big data intelligent analysis. The specific application strategies after web front-end performance optimisation are explained in terms of request-related optimisation, HTML structure optimisation and page JavaScript optimisation, which can further improve the user experience.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICERECT56837.2022.10060290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the development of information technology, Web application systems are being used by more and more users. As the user base increases, the number of concurrent accesses continues to increase, leading to a decline in the quality of service of web systems. This paper will analyse the importance of web front-end performance optimisation of big data intelligent analysis to the whole system, and introduce the optimisation model of web front-end performance based on big data intelligent analysis. The specific application strategies after web front-end performance optimisation are explained in terms of request-related optimisation, HTML structure optimisation and page JavaScript optimisation, which can further improve the user experience.
基于大数据智能分析的Web前端性能优化及其应用研究
随着信息技术的发展,Web应用系统被越来越多的用户所使用。随着用户数量的增加,并发访问数量不断增加,导致web系统的服务质量下降。本文将分析大数据智能分析的web前端性能优化对整个系统的重要性,并介绍基于大数据智能分析的web前端性能优化模型。从请求相关优化、HTML结构优化和页面JavaScript优化三个方面阐述了web前端性能优化后的具体应用策略,从而进一步提升用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信