Efficient Sub-Stream Encoding and Transmission for P2P Video on Demand

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Efficient Sub-stream Encoding and Transmission for P2P Video on Demand 1 Efficient Sub-Stream Encoding and Transmission for P2P Video on Demand Zhengye Liu Yanming Shen Shivendra S. Panwar Keith W. Ross Yao Wang Polytechnic University, Brooklyn, NY, USA

Transcript of Efficient Sub-Stream Encoding and Transmission for P2P Video on Demand

Efficient Sub-stream Encoding and Transmission for P2P Video on Demand 1

Efficient Sub-Stream Encoding and Transmission for P2P Video on Demand

Zhengye LiuYanming Shen

Shivendra S. PanwarKeith W. Ross

Yao Wang

Polytechnic University, Brooklyn, NY, USA

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Outline

• Motivation• P2P VoD system• Sub-stream encoding and transmission• Simulations• Conclusion

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Motivation

• Video-on-demand services – Youtube, MSN video, google video,…– Content distribution networks (CDNs)

• P2P live streaming systems – PPLive, PPStream, UUSee, Coolstreaming,…– Support thousands of users simultaneously

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P2P VoD System

• Multiple video architecture– Extension of CDNs: Peers act as video servers– Contribute storage in addition to bandwidth– Help each other with stored videos

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Proposed System with Multiple Sub-Streams

In this illustration, two simultaneous streaming sessions are requested from nodes 4 and 5. The system initially selects nodes 2 and 3 to serve node 4’s request, and selects nodes 4 and 1 to serve node 5’s request. After Node 2 goes down, the system finds node 6 as a replacement

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Benefit of Using Layered Coding/MDC

• Adaptive to the long-term bandwidth fluctuation due to peer churn– Uplink bandwidth fluctuation– Received video quality adapts to the available

uplink bandwidth• Robust to peer failure/disconnection

– One supplier failure only affects one/several sub-stream(s)

– Video quality will not be impaired seriously

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Multi-Stream Coding Schemes

(a) Layered coding (b) MDC

(c) Ideal scheme

– Compare schemes (a), (b) – Design (c)

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Push-Pull Delivery with Layered Coding

• Store all layers of a video• Push-pull for layer delivery

• Storage consumed for one video: RM

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The Ideal Scheme should consume minimum storage

• Can we reduce the consumed storage?

• The minimum storage: R+R/2+,…,+R/M≈ R ln(M)

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RS Coding

RS (8,2) coding for Layer 2

Any two received chunks can recover the original two chunks

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RS Coding Instead of Replicating

RS (8,k) coding, k=1,2,3,4

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Redundancy-Free Transmission Based on Push-Pull Architecture

• A receiver schedules the chunks that should be delivered (Pull)• A supplier pushes the chunks based on the schedule (Push)

R

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Features of Proposed Scheme

• Ideal Scheme– Equal importance (like MDC)– Redundancy free transmission (like Layered coding)

• Minimum storage consumed– R ln(M) vs. RM

• M=4, 2.08R vs. 4R, save about 50%• M=32, 3.47R vs. 32R, save about 89%

• Since a peer needs to store fewer substreams: save server bandwidth

Efficient Sub-stream Encoding and Transmission for P2P Video on Demand

Simulations

• Setting– 3000 peers, different uplink bandwidth– 30 videos, different popularity (Zipf distribution

with parameter 0.27)• Simulate two video sequences

– Foreman: low rate– Mobile: high rate

• Compare SLRS, Layered Coding, MD-FEC, RFMD• Performance metrics

– Discontinuity: number of undecodable GOPs/Total number of GOPs

– PSNR14

Efficient Sub-stream Encoding and Transmission for P2P Video on Demand

Simulation Results

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Discontinuity of different schemes vs. number of active users under the “Foreman” sequence PSNR of different schemes

vs. number of active users under the “Foreman” sequence

Efficient Sub-stream Encoding and Transmission for P2P Video on Demand

Simulation Results

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Discontinuity of different schemes vs. number of active users under the “Mobile” sequence

PSNR of different schemes vs. number of active users under the “Mobile” sequence

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Conclusion

• Propose a redundancy-free transmission scheme based on a push-pull architecture

• RFMD– Advantages

• All substreams have equal importance: graceful quality degradation

• Only the source bits are transmitted: no transmission redundancy

• Coding instead replication: any combination of M or fewer substreams can be used in reconstructing video

– Additional cost:• Feedback from the client to each supplying peer: feasible

in typical P2P VoD applications

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Thanks!