Analysis of Cache in Service Worker and Performance Scoring of Progressive Web Application
Analysis of Cache in Service Worker and Performance Scoring of Progressive Web Application
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Service Worker中的缓存分析及渐进式Web应用的性能评分
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
G. Raj
中科院分区：
文献类型：
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作者：
Abhi Gambhir;G. Raj
移动的软件开发是一项新兴技术，构建它们的策略也是如此。本文重点介绍了新兴的技术，即渐进式Web应用程序（PWA），它弥合了Web和本地移动的应用程序之间的差距。Service Worker是任何PWA的骨干。它支持内存缓存、离线访问和其他gem特性。为了证明缓存内存提高了性能，已经进行了测试。利用Google的Lighthouse（beta）工具，计算了指标并提出了改进它们的解决方案。我们展示了Service Worker及其对跨平台方法的影响，并比较了Android、iOS和PWA的性能增长。
Mobile software development is an emerging technology and so are the strategies to build them. This paper focuses on the budding technology i.e. Progressive Web Apps (PWAs), which bridges the gap between web and native mobile apps. Service Worker is the backbone of any PWA. It enables caching of memory, offline access, and other gem features. To prove that caching memory improves the performance, tests have been performed. Taking the advantage of Google's Lighthouse (beta) tool, metrics have been calculated and solutions to improve them are suggested. We has demonstrate the service worker and its impact on cross platform approaches and compare android, iOS and PWA performance growth.