The increasing complexity of JavaScript in modern mobile web pages has become a critical performance bottleneck for low-end mobile phone users, especially in developing regions. In this paper, we propose SlimWeb, a novel approach that automatically derives lightweight versions of mobile web pages on-the-fly by eliminating the use of unnecessary JavaScript. SlimWeb consists of a JavaScript classification service powered by a supervised Machine Learning (ML) model that provides insights into each JavaScript element embedded in a web page. SlimWeb aims to improve the web browsing experience by predicting the class of each element, such that essential elements are preserved and non-essential elements are blocked by the browsers using the service. We motivate the core design of SlimWeb using a user preference survey of 306 users and perform a detailed evaluation of SlimWeb across 500 popular web pages in a developing region on real 3G and 4G cellular networks, along with a user experience study with 20 real-world users and a usage willingness survey of 588 users. Evaluation results show that SlimWeb achieves a 50% reduction in the page load time compared to the original pages, and more than 30% reduction compared to competing solutions, while achieving high similarity scores to the original pages measured via a qualitative evaluation study of 62 users. SlimWeb improves the overall user experience by more than 60% compared to the original pages, while maintaining 90%-100% of the visual and functional components of most pages. Finally, the SlimWeb classifier achieves a median accuracy of 90% in predicting the JavaScript category.

中文翻译：

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阻止或不阻止：通过 JavaScript 分类即时加速移动网页

现代移动网页中 JavaScript 的日益复杂已成为低端手机用户的关键性能瓶颈，尤其是在发展中地区。在本文中，我们提出了 SlimWeb，这是一种新颖的方法，通过消除不必要的 JavaScript 的使用，动态地自动生成移动网页的轻量级版本。SlimWeb 由一个 JavaScript 分类服务组成，该服务由受监督的机器学习 (ML) 模型提供支持，该模型提供对嵌入在网页中的每个 JavaScript 元素的洞察。SlimWeb 旨在通过预测每个元素的类别来改善 Web 浏览体验，以便使用该服务的浏览器保留必要元素并阻止非必要元素。我们通过对 306 名用户的用户偏好调查来激发 SlimWeb 的核心设计，并在真实 3G 和 4G 蜂窝网络上的发展中地区的 500 个流行网页上对 SlimWeb 进行详细评估，以及对 20 个真实世界的用户体验研究用户和 588 个用户的使用意愿调查。评估结果表明，SlimWeb 与原始页面相比减少了 50% 的页面加载时间，与竞争解决方案相比减少了 30% 以上，同时通过对 62 位用户的定性评估研究测得的与原始页面的相似度得分很高. SlimWeb 与原始页面相比，整体用户体验提升了 60% 以上，同时保留了大多数页面 90%-100% 的视觉和功能组件。最后，