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Web Browsing Measurements: An Above-the-Fold Browser-Based Technique

机译:Web浏览度量:一种基于折页浏览器的技术

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Web browsing is the most important Internet service, and offering the best performance to end-users is of prime importance. The World Wide Web Consortium (W3C) has brought along the Page Load Time (PLT) metric as a QoE (Quality of Experience) and QoS (Quality of Service) benchmarking indicator, which is nowadays the de facto web metric used by researchers, large service companies and web developers. Although alternative web metrics have been introduced to measure part of the loading process, the techniques used need additional computing power and timings are not offered in real-time. In order to provide real-time fined-grained timings during web browsing measurement campaigns, we present in this paper the TFVR (Time for Full Visual Rendering), a technique being browser-based to calculate the Above-The-Fold (ATF) offering the loading time of the visible portion at first glance of a web page. The TFVR exposes fine-grained timings such as networking and processing time for every downloaded resource. Based on a measurement campaign on top 10,000 Alexa websites, we have been able to better quantify and identify web page loading inefficiencies through a tool we have designed, namely, MORIS (Measuring and Observing Representative Information on webSites).
机译:Web浏览是最重要的Internet服务,向最终用户提供最佳性能至关重要。万维网联盟(W3C)引入了页面加载时间(PLT)指标作为QoE(体验质量)和QoS(服务质量)基准指标,这是当今研究人员实际使用的Web指标,服务公司和网站开发人员。尽管引入了替代Web度量来衡量部分加载过程,但是所使用的技术需要额外的计算能力,并且无法实时提供计时。为了在网络浏览测量活动中提供实时细粒度的计时,我们在本文中介绍了TFVR(完全可视化渲染的时间),该技术基于浏览器来计算折前(ATF)产品网页乍看之下可见部分的加载时间。 TFVR公开了每个下载资源的详细时序,例如网络和处理时间。基于在10,000个Alexa顶级网站上进行的评估活动,我们能够通过我们设计的工具M​​ORIS(在网站上测量和观察代表信息)更好地量化和识别网页加载效率低下的情况。

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