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Adaptive Networking for Tele-Immersion

Adaptive Networking for Tele-Immersion. Presented by: Shi Hu (u4063095). What is Tele-Immersion?. Concept: Tele-Immersion is the integration of collaborative virtual reality with audio and video conferencing in the context of data-mining and significant computation. Ultimate Goal.

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Adaptive Networking for Tele-Immersion

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  1. Adaptive Networking for Tele-Immersion Presented by: Shi Hu (u4063095)

  2. What is Tele-Immersion? • Concept: Tele-Immersion is the integration of collaborative virtual reality with audio and video conferencing in the context of data-mining and significant computation. • Ultimate Goal

  3. Network Requirements for Tele-Immersion

  4. The Intelligent adaptive networking system

  5. Network Quality of Service (QoS) Quality of Service (QoS) refers to the ability of an application to request a guaranteed level of networking service in the form of bandwidth, latency or jitter.

  6. Network Quality of Service (QoS) Two well-know types of QoS: • Integrated Services (IntServ) • Differentiated Services (DiffServ)

  7. Network Quality of Service (QoS) Misconception for QoS in CVR: • Once the QoS is available, it will solve all CVR’s networking problems. • Bandwidth provisioning is the only form of QoS needed by CVR applications.

  8. Network Quality of Service (QoS)

  9. Network Quality of Service (QoS)

  10. Network Quality of Service (QoS)

  11. Advanced Data Transport Techniques for Tele-Immersion • Forward Error Corrected UDP • Parallel TCP • Reliable Blast UDP

  12. Forward Error Corrected UDP

  13. Forward Error Corrected UDP

  14. Forward Error Corrected UDP

  15. Forward Error Corrected UDP

  16. Long Fat Network Problem

  17. Parallel TCP Socket Striping

  18. Parallel TCP Socket Striping

  19. Reliable Blast UDP

  20. Reliable Blast UDP

  21. Reliable Blast UDP

  22. Reliable Blast UDP

  23. Future Research • To defined QoS in application developers’ view. • To characterize protocols, QoS mechanisms and computational resources as parameters. • To find mappings between QoS descriptions and network characterization. • To find prediction models for dynamic network situations. • To test predictions.

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