移动网络的网络体验:两百万页面访问的经验教训

Mohammad Rajiullah, Andra Lutu, Ali Safari Khatouni, Mah-Rukh Fida, M. Mellia, A. Brunström, Özgü Alay, Stefan Alfredsson, V. Mancuso
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引用次数: 44

摘要

测量和描述网页性能是一项具有挑战性的任务。当涉及到移动世界时,高度变化的技术特征加上不透明的网络配置使其更加困难。为了再现性,我们在四个国家的11个商业移动网络中收集了网页性能的大规模实证研究。通过对近200万个网络浏览会话的深入研究,我们揭示了不同的网络协议、浏览器和移动技术对网络性能的影响。我们发现移动宽带接入的影响是相当大的。例如,与有线访问相比,使用移动宽带的页面加载时间中位数增加了三分之一。移动性显然会对系统造成压力,切换会导致最明显的性能损失。相反,我们的测量表明,采用HTTP/2和QUIC的影响几乎可以忽略不计。为了理解所有参数的相互关系,我们采用最先进的统计方法来确定不同因素对web性能的重要性。我们的分析证实了访问技术和移动环境以及网页组成和浏览器的重要性。我们的工作强调了大规模测量的重要性。即使有了我们控制的设置,移动网络生态系统的复杂性也很难理清。为此,我们将数据集作为开放数据发布,以供验证和进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Experience in Mobile Networks: Lessons from Two Million Page Visits
Measuring and characterizing web page performance is a challenging task. When it comes to the mobile world, the highly varying technology characteristics coupled with the opaque network configuration make it even more difficult. Aiming at reproducibility, we present a large scale empirical study of web page performance collected in eleven commercial mobile networks spanning four countries. By digging into measurement from nearly two million web browsing sessions, we shed light on the impact of different web protocols, browsers, and mobile technologies on the web performance. We find that the impact of mobile broadband access is sizeable. For example, the median page load time using mobile broadband increases by a third compared to wired access. Mobility clearly stresses the system, with handover causing the most evident performance penalties. Contrariwise, our measurements show that the adoption of HTTP/2 and QUIC has practically negligible impact. To understand the intertwining of all parameters, we adopt state-of-the-art statistical methods to identify the significance of different factors on the web performance. Our analysis confirms the importance of access technology and mobility context as well as webpage composition and browser. Our work highlights the importance of large-scale measurements. Even with our controlled setup, the complexity of the mobile web ecosystem is challenging to untangle. For this, we are releasing the dataset as open data for validation and further research.
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