Analyzing video services in Web 2.0: a global perspective
Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video
On dominant characteristics of residential broadband internet traffic
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
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Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Comparing DNS resolvers in the wild
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Improving content delivery using provider-aided distance information
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
YouTube traffic dynamics and its interplay with a tier-1 ISP: an ISP perspective
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Application flow control in YouTube video streams
ACM SIGCOMM Computer Communication Review
On profiling residential customers
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
Dissecting Video Server Selection Strategies in the YouTube CDN
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Broadband internet performance: a view from the gateway
Proceedings of the ACM SIGCOMM 2011 conference
Pytomo: a tool for analyzing playback quality of YouTube videos
Proceedings of the 23rd International Teletraffic Congress
YouTube everywhere: impact of device and infrastructure synergies on user experience
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
A longitudinal view of HTTP video streaming performance
Proceedings of the 3rd Multimedia Systems Conference
Uncovering the big players of the web
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Internet video delivery in youtube: from traffic measurements to quality of experience
DataTraffic Monitoring and Analysis
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This paper presents an in-depth study of YouTube video service delivery. We have designed a tool that crawls YouTube videos in order to precisely evaluate the quality of experience (QoE) as perceived by the user. We enrich the main QoE metric, the number of video stalls, with many network measurements and use multiple DNS servers to understand the main factors that impact QoS and QoE. This tool has been used in multiple configurations: first, to understand the main delivery policies of YouTube videos, then to understand the impact of the ISP on these policies and finally, to compare the US and Europe YouTube policies. Our main results are that: (i) geographical proximity does not matter inside Europe or the US, but link cost and ISP-dependent policies do; (ii) usual QoS metrics (RTT) have no impact on QoE (video stall); (iii) QoE is not impacted nowadays (with good access networks) by access capacity but by peering agreements between ISPs and CDNs, and by server load. We also indicate a network monitoring metric that can be used by ISPs to roughly evaluate the QoE of HTTP video streaming of a large set of clients at a reduced computational cost.