PAIN: A Passive Web Speed Indicator for ISPs
PAIN: A Passive Web Speed Indicator for ISPs
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PAIN：ISP 的被动网络速度指示器
DOI：
10.1145/3098603.3098605
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
M. Mellia
中科院分区：
文献类型：
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作者：
Martino Trevisan;I. Drago;M. Mellia
了解用户享受的网络浏览质量是优化服务并保持用户忠诚度的关键。这对于互联网服务提供商（ISP）来说至关重要。质量是主观的，当今页面的复杂性挑战了其测量。 Onload Time和SpeedIndex是量化Web性能的显着尝试。但是，这些指标是使用浏览器仪器计算的，因此ISP无法使用。疼痛（被动指示器）是一个自动系统，可观察ISP的网页性能。它利用了被动流级和DNS测量，尽管HTTPS部署了网络，但仍在网络中可用。借助无监督的学习，痛苦会自动从浏览器发出的渲染网页的请求的时间表中创建模型，并使用它实时分析网络性能。我们将疼痛与基于浏览器仪器的指标进行比较，并在方法之间找到牢固的相关性。它反映了恶化的网络条件，并为ISP的Web性能提供了可见性。
Understanding the quality of web browsing enjoyed by users is key to optimize services and keep users' loyalty. This is crucial for Internet Service Providers (ISPs) to anticipate problems. Quality is subjective, and the complexity of today's pages challenges its measurement. OnLoad time and SpeedIndex are notable attempts to quantify web performance. However, these metrics are computed using browser instrumentation and, thus, are not available to ISPs. PAIN (PAssive INdicator) is an automatic system to observe the performance of web pages at ISPs. It leverages passive flow-level and DNS measurements which are still available in the network despite the deployment of HTTPS. With unsupervised learning, PAIN automatically creates a model from the timeline of requests issued by browsers to render web pages, and uses it to analyze the web performance in real-time. We compare PAIN to indicators based on in-browser instrumentation and find strong correlations between the approaches. It reflects worsening network conditions and provides visibility into web performance for ISPs.