YouLighter: An Unsupervised Methodology to Unveil YouTube CDN Changes
Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena, Baralis, Alok Tongaonkar, Sabyasachi Saha

TL;DR
YouLighter is an unsupervised method that uses passive measurements to identify and compare changes in YouTube's CDN structure over time, helping ISPs optimize user experience despite limited visibility.
Contribution
The paper introduces YouLighter, a novel unsupervised approach and a new metric, Constellation Distance, to detect and quantify CDN changes from passive measurements.
Findings
Detected sudden CDN structure changes over 10 months
Identified small cache policy alterations affecting QoE
Unveiled YouTube CDN structure without active probing
Abstract
YouTube relies on a massively distributed Content Delivery Network (CDN) to stream the billions of videos in its catalogue. Unfortunately, very little information about the design of such CDN is available. This, combined with the pervasiveness of YouTube, poses a big challenge for Internet Service Providers (ISPs), which are compelled to optimize end-users' Quality of Experience (QoE) while having no control on the CDN decisions. This paper presents YouLighter, an unsupervised technique to identify changes in the YouTube CDN. YouLighter leverages only passive measurements to cluster co-located identical caches into edge-nodes. This automatically unveils the structure of YouTube's CDN. Further, we propose a new metric, called Constellation Distance, that compares the clustering obtained from two different time snapshots, to pinpoint sudden changes. While several approaches allow…
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Taxonomy
TopicsCaching and Content Delivery · Complex Network Analysis Techniques · Image and Video Quality Assessment
