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Trickle: rate limiting youtube video streaming.
| Content Provider | CiteSeerX |
|---|---|
| Author | Ghobadi, Monia Cheng, Yuchung Jain, Ankur Mathis, Matt |
| 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 paper, 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. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Youtube Video Streaming Average Tcp Loss Rate Server-side Mechanism Video Stream Round-trip Time Under-run Event Youtube Traffic Streaming Rate Rate Limit Youtube Video Tcp Congestion Window Stress Router Queue Packet Loss Upper Bound Tcp Congestion-control Algorithm Youtube Production Data Center Average Rtt |
| Content Type | Text |
