极速网页缓存,更快的网页浏览

A. Raza, Y. Zaki, Thomas Pötsch, Jay Chen, Lakshmi Subramanian
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引用次数: 2

摘要

现代网页非常复杂;每个网页由数百个对象组成,这些对象从世界各地的不同服务器链接而来。虽然缓存等机制减少了端到端请求的总数,节省了带宽和加载时间,但仍然有很大一部分内容需要重新获取——尽管没有更改。在这个演示中,我们展示了一个web缓存架构,它通过一个智能的预抓取引擎来增强web浏览体验。我们的极限缓存试图预测网页对象的变化率,从而使可缓存的内容更接近用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extreme Web Caching for Faster Web Browsing
Modern web pages are very complex; each web page consists of hundreds of objects that are linked from various servers all over the world. While mechanisms such as caching reduce the overall number of end-to-end requests saving bandwidth and loading time, there is still a large portion of content that is re-fetched -- despite not having changed. In this demo, we present Extreme Cache, a web caching architecture that enhances the web browsing experience through a smart pre-fetching engine. Our extreme cache tries to predict the rate of change of web page objects to bring cacheable content closer to the user.
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