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Scalable On-Demand Media Streaming with Packet Loss Recovery

Scalable On-Demand Media Streaming with Packet Loss Recovery. A. Mahanti, D. L. Eager, (USask) M. K. Vernon, D S-Stukel (Wisc) Presented by Cheng Huang 04.08.2004. Introduction. VOD is cool, but might also be expensive Naïve implementation: connection per user

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Scalable On-Demand Media Streaming with Packet Loss Recovery

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  1. Scalable On-Demand Media Streaming with Packet Loss Recovery A. Mahanti, D. L. Eager, (USask) M. K. Vernon, D S-Stukel (Wisc) Presented by Cheng Huang 04.08.2004

  2. Introduction • VOD is cool, but might also be expensive • Naïve implementation: connection per user • Fortunately, users favor a few “hot” movies. • It is possible to have inexpensive approach to effectively share resources (server, network, etc.) and serve lots of requests. • Target of the on-demand streaming scheme • Scalable and reliable • Fundamental trade-offs • Server bandwidth (network bandwidth), startup delay and client bandwidth • Client buffer requirement (might be of less concern)

  3. Outline • Periodic Broadcast Schemes • Bandwidth Skimming Scheme • Conclusion

  4. Outline • Periodic Broadcast Schemes • Bandwidth Skimming Scheme • Conclusion

  5. Pyramid Broadcast S. Viswanathan, T. Imielinski 1996

  6. Skyscraper Broadcast K. A. Hua, S. Shen 1997

  7. Fibonacci Broadcast

  8. Optimized Periodic Broadcast A. Mahanti, D. L. Eager, M. K. Vernon, D. S.-Stukel 2001

  9. Optimized Periodic Broadcast (cont.) • General segment length

  10. Generalized OPB • Given the client reception bandwidth as constraint • b: maximum client reception bandwidth • r: bandwidth of each stream • s: number of streams client listen to concurrently • b = r*s

  11. Performance of OPB

  12. Optimized Periodic Broadcast

  13. Optimized Periodic Broadcast

  14. Loss Recovery Strategy • Digital Fountain approach • Use Error Correction Codes to generate n symbols from k original symbols (n >> k) • Symbol: frame, packet, etc. • Recover the k original symbols from any k out of n coded symbols

  15. Generalized RPB • Reliable Periodic Broadcast (RPB) • Maximum tolerable loss rate p • need L/(1-p) packets in order to receive L packets • Segment length (a = 1/(1-p))

  16. Performance of RPB

  17. Outline • Periodic Broadcast Schemes • Bandwidth Skimming Scheme • Conclusion

  18. Bandwidth Skimming Scheme

  19. Bandwidth Skimming Scheme (cont.)

  20. Reliable Bandwidth Skimming • Pros • Bandwidth decreases as the client request rate decreases • VCR functionality – fast forward • Protocol • Primary stream is transmitted at rate 1 • Secondary stream is transmitted at rate p/(1-p) • Merging happens between primary streams, as well as secondary streams • Real system in Univ. of Wisconsin

  21. Reliable Bandwidth Skimming (cont.)

  22. Conclusions • Propose two reliable on-demand streaming schemes • RPB • RBS • Schemes investigate the fundamental trade-offs of on-demand streaming service

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