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Utility-Based Adaptive Video Streaming Mechanisms

This research discusses the value-based utility framework for adaptive video streaming mechanisms, focusing on quality of service, video streaming formats, frame control, admission control, and queuing disciplines.

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Utility-Based Adaptive Video Streaming Mechanisms

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  1. Utility-Based Adaptive Video Streaming Mechanisms Paolo V. Encomienda Nestor Michael C. Tiglao University of the Philippines Network Research Workshop July 17, 2006 APAN Singapore

  2. Outline • Introduction • Value-Based Utility Framework • Objectives • Results • Conclusions and Future Work Value-Based Adaptive Video Streaming Mechanisms

  3. Multimedia Applications • Highly sensitive to end-to-end delay and delay jitter but can tolerate occasional data loss • Should be able to maximize available bandwidth and handle dynamic delay jitter and loss rate. • RTP and RTCP provide QoS support but do not guarantee QoS Value-Based Adaptive Video Streaming Mechanisms

  4. Quality of Service (QoS) • Ability of the system to satisfy the service requirements of a network application • Requires the cooperation of many components along the end-to-end path • Many approaches: admission control, buffer management, packet classification, traffic shaping, packet scheduling Value-Based Adaptive Video Streaming Mechanisms

  5. Value-Based UtilityDefinition (C. Festin, 2005) Value-Based Adaptive Video Streaming Mechanisms

  6. Value-Based UtilityActual Range of Utility Values Value-Based Adaptive Video Streaming Mechanisms

  7. Video Streaming • Video delivery through file download require long download times and large storage spaces • Simultaneous delivery and playback of video • Splits the video into parts, transmits the video in succession, and plays the video as these parts are received Value-Based Adaptive Video Streaming Mechanisms

  8. MPEG Format • Uses JPEG-like compression techniques • I (intra frames) – coded independently, serve as base or reference frames • P (predicted frames) - coded based on a previously coded frame • B (bidirectional predicted frames) - coded using both previous and future coded frames Value-Based Adaptive Video Streaming Mechanisms

  9. MPEG Group of Pictures (GoP) Value-Based Adaptive Video Streaming Mechanisms

  10. Objectives • Develop adaptive video streaming mechanisms • Frame control • Admission control • Queuing disciplines • First-In, First-Out (FIFO) • Priority Queuing (PRIQ) Value-Based Adaptive Video Streaming Mechanisms

  11. Design Value-Based Adaptive Video Streaming Mechanisms

  12. Value-Based UtilityActual Range of Utility Values k, threshold Value-Based Adaptive Video Streaming Mechanisms

  13. Network Setup Value-Based Adaptive Video Streaming Mechanisms

  14. Traffic Mix • High expectation flows (HEFs), p=0.99 • Medium expectation flows (MEFs), p=0.90 • Low expectation flows (MEFs), p=0.80 Value-Based Adaptive Video Streaming Mechanisms

  15. Frame Controller • Adaptive frame dropping Value-Based Adaptive Video Streaming Mechanisms

  16. FIFO Loss Adaptation (HEFs) Value-Based Adaptive Video Streaming Mechanisms

  17. FIFO Loss Adaptation (MEFs) Value-Based Adaptive Video Streaming Mechanisms

  18. FIFO Loss Adaptation (LEFs) Value-Based Adaptive Video Streaming Mechanisms

  19. FIFO Jitter Adaptation (HEFs) Value-Based Adaptive Video Streaming Mechanisms

  20. FIFO Jitter Adaptation (MEFs) Value-Based Adaptive Video Streaming Mechanisms

  21. FIFO Jitter Adaptation (LEFs) Value-Based Adaptive Video Streaming Mechanisms

  22. PRIQ Loss Adaptation HEFs and MEFs LEFs with frame control LEFs w/o frame control Value-Based Adaptive Video Streaming Mechanisms

  23. Admission Controller • Adaptive packet remarking • Raise the priority of low expectation flows when high priority flows have higher utilities than their thresholds • Dropper • If at least one flow is unhappy, reject any new connection Value-Based Adaptive Video Streaming Mechanisms

  24. Without Frame Controller HEFs LEFs w/ admission control LEFs w/o admission control MEFs w/ admission control Value-Based Adaptive Video Streaming Mechanisms

  25. With Frame Controller HEFs and MEFs LEFs w/ admission control LEFs w/ admission control Value-Based Adaptive Video Streaming Mechanisms

  26. Conclusions • VBU is effective in developing adaptive video streaming applications • The frame control and admission control mechanism improved the quality of video streaming Value-Based Adaptive Video Streaming Mechanisms

  27. Future Work • Explore other queuing mechanisms which provide fairer treatment • Enhance the feedback mechanism • Extend the work to multi-hop networks Value-Based Adaptive Video Streaming Mechanisms

  28. Thank you very much! Any questions? Value-Based Adaptive Video Streaming Mechanisms

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