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Network Characteristics of Video Streaming Traffic. Ashwin Rao , Yeon-sup Lim, Chadi Barakat, Arnaud Legout, Don Towsley, and Walid Dabbous. Univ. of Massachusetts Amherst. INRIA Project Planete Sophia Antipolis. Video Streaming in the Internet. 20% to 40 % of Internet Traffic.
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Network Characteristics of Video Streaming Traffic Ashwin Rao, Yeon-sup Lim, Chadi Barakat, Arnaud Legout, Don Towsley, and Walid Dabbous Univ. of Massachusetts Amherst INRIA Project Planete Sophia Antipolis
Video Streaming in the Internet 20% to 40 % of Internet Traffic Containers What are the Network Characteristics of Video Streaming Traffic ?
Generic Behavior of Video Streaming Steady State Off On Average rate during steady state Block Size Download Amount Buffering Time
Streaming Strategies Identified OFF OFF No On Off Cycles Long On Off Cycles Short On Off Cycles
Streaming Strategies Used Streaming strategy depends on type of application and container
Streaming Strategies Comparison Strategy Metric
Open Questions for the CCN community • Should CCN nodes be aware of the underlying streaming strategy? • What is the optimal streaming strategy for CCN? • Is there an optimal caching strategy for a given streaming strategy? • What is the impact of user interruptions due to lack of interest on CCN caches?
THANK YOU ashwin.rao@inria.fr arnaud.legout@inria.fr
Open Questions for CCN community • Should CCN nodes be aware of the underlying streaming strategy? • What is the optimal streaming strategy for CCN? • Is there an optimal caching strategy for a given streaming strategy? • What is the impact of user interruptions due to lack of interest? ashwin.rao@inria.fr arnaud.legout@inria.fr
Conclusions • Streaming Strategy depends on browser and container • Migration from one strategy to another can have a non-negligible impact Raw File Transfer vs Periodic Buffering vs No ack-clock