CongestionDistortion Optimized PeertoPeer Video Streamig拥塞的失真优化的P2P视频流.pptVIP

Congestion-Distortion Optimized Peer-to-Peer Video Streaming Eric Setton*, Jeonghun Noh and Bernd Girod Information Systems Laboratory Stanford University * Recently joined HP Labs Prior Work TCP-friendly rate-control Indicates average rate as a function of collected statistics Does not indicate any particular schedule Rate-Distortion optimized scheduling (RaDiO) Formalization of the multimedia scheduling problem Adapted the framework to video streaming Congestion-Distortion optimized scheduling (CoDiO) Congestion defined as end-to-end delay Designed for throughput-limited streaming Same R-D performance as RaDiO and ~40% less congestion Video Multicast over P2P Networks Challenges Limited bandwidth Delay due to multi-hop transmission Unreliability of peers Related work [Chu, Rao, Zhang, 2000] [Padmanabhan, Wang and Chou, 2003] [Guo, Suh, Kurose, Towsley, 2003] [Cui, Li, Nahrstedt, 2004] [Do, Hua, Tantaoui, 2004] [Hefeeda, Bhargava, Yau, 2004] [Zhang, Liu, Li and Yum, 2005] [Zhou, Liu, 2005] [Chi, Zhang, 2006] Our Approach Build and maintain complementary multicast trees Adapt media scheduling to network conditions and to content Error resilience through retransmission requests Specificities of P2P Multicast Principles of CoDiO P2P Scheduler which combines optimized prioritization algorithm Principles of CoDiO P2P Scheduler which combines optimized prioritization algorithm optimized retransmission requests CoDiO Prioritization Scheduler iteratively selects Intervals between transmission sufficient to Mitigate any congestion of the uplink Reserve rate for control traffic Distortion-OptimizedRetransmission Requests Server-Client Scheduler Performance Experimental Setup Network/protocol simulation in ns-2 300 active peers Random peer arrival/departure average: ON (4.5 min) / OFF (30 sec) Typical access bandwidth distribution Over-provisioned backbone Delay: 5 ms/link + congestion Video streaming H.264/AVC encoder 15 minute live m