Monia Ghobadi, University of Toronto; Yuchung Cheng, Ankur Jain, and Matt Mathis, Google
Abstract:
YouTube traffic is bursty. These bursts trigger packet losses and stress router queues, causing TCP’s congestion-control algorithm to kick in. In this pa- per, we introduce Trickle, a server-side mechanism that uses TCP to rate limit YouTube video streaming. Trickle paces the video stream by placing an upper bound on TCP’s congestion window as a function of the streaming rate and the round-trip time. We evaluated Trickle on YouTube production data centers in Europe and India and analyzed its impact on losses, bandwidth, RTT, and video buffer under-run events. The results show that Trickle reduces the average TCP loss rate by up to 43% and the average RTT by up to 28% while maintaining the streaming rate requested by the application.
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BibTeX
@inproceedings {180914,
author = {Monia Ghobadi and Yuchung Cheng and Ankur Jain and Matt Mathis},
title = {Trickle: Rate Limiting {YouTube} Video Streaming},
booktitle = {2012 USENIX Annual Technical Conference (USENIX ATC 12)},
year = {2012},
isbn = {978-931971-93-5},
address = {Boston, MA},
pages = {191--196},
url = {https://www.usenix.org/conference/atc12/technical-sessions/presentation/ghobadi},
publisher = {USENIX Association},
month = jun
}
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