Skip to main content
SpringerLink
Log in

An Optimal Rate Adaptive Video Streaming Scheme to Improve QoE of Dash

  • Conference paper
  • First Online:
Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9532))

  • 1776 Accesses

Abstract

As the simplicity at the server side, HTTP-based adaptive streaming has become a popular choice for streaming contents to a wide range of user devices. In HTTP-based streaming systems, the server simply stores the video chunked into a series of small chunks coded in many different qualities and sizes, and leaves the decision of which chunk to download to the client for achieving a high quality experience. This decision making is a challenging task, especially in mobile environment due to unexpected changes in network bandwidth as the user moves through different regions. In this paper, we consider Markov Decision Process (MDP) to explore the optimum chunk selection strategy that maximizes streaming quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Stockhammer, T.: Dynamic adaptive streaming over http-standards and design principle. In: MMSys 2011 Proceedings of the 2nd Annual ACM Conference on Multimedia Systems, pp. 133–143. ACM, New York (2011)

    Google Scholar 

  2. Lian, C.-J., Chieng, S.-Y., Lin, C.-P.: Power-aware multimedia: concepts and design perspectives. IEEE Circ. Syst. Mag. 7, 26–34 (2007). IEEE

    Article  Google Scholar 

  3. Emrah, A., Mihaela, V.S.: Compression-aware energy optimization for video decoding systems with passive power. IEEE Trans. Circ. Syst. Video Technol. 18, 1300–1306 (2008). IEEE

    Article  Google Scholar 

  4. Lei, B., Jin, W., Zhang, H.: Optimization and implementation of AVS-M decoder on ARM. In: 4th International Conference on Image and Graphics, pp. 255–258. IEEE Press, Sichuan (2007)

    Google Scholar 

  5. Cheng, L., Bossi, S., Mohapatra, S., Zarki, M.E., Venkatasubramanian, N., Dutt, N.: Quality adapted backlight scaling (QABS) for video streaming to mobile handheld devices. In: Lorenz, P., Dini, P. (eds.) ICN 2005. LNCS, vol. 3420, pp. 662–671. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. HTTP adaptive streaming in practice. http://web.cs.wpi.edu

  7. Guo, Y., Hao, F., Varvello, M.: Unreeling netflix: understanding and improving multi-CDN movie delivery. In: 2012 Proceedings of the IEEE INFOCOM, Orlando, pp. 1620–1628 (2012)

    Google Scholar 

  8. Akhshabi, S., Begen, A.C., Dovrolis, C.: An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP. In: MMSys 2011 Proceedings of the 2nd Annual ACM Conference on Multimedia Systems, pp. 157–168. ACM, New York (2011)

    Google Scholar 

  9. IIS smooth streaming technical overview. http://www.microsoft.com

  10. Open source media framework 1.6. http://www.osmf.org/

  11. Liu, C., Bouazizi, I., Gabbouj, M.: Rate adaptation for adaptive HTTP streaming. In: MMSys 2011 Proceedings of the 2nd Annual ACM Conference on Multimedia Systems, pp. 169–174. ACM, New York (2011)

    Google Scholar 

  12. Wang, J., Zou, Z., Wen, J.: Bandwidth estimation and rate adaptation in HTTP streaming. In: International Conference on Computing, Networking and Communications, pp. 734–738. IEEE Press, HI (2012)

    Google Scholar 

  13. Cicco, L.D., Mascolo, S., Vittorio, P.: Feedback control for adaptive live video streaming. In: MMSys 2011 Proceedings of the 2nd Annual ACM Conference on Multimedia Systems, pp. 145–156. ACM, New York (2011)

    Google Scholar 

  14. Evensen, K., Kaspar, D., Griwodz, C., Halvorsen, P.: Improving the performance of quality-adaptive video streaming over multiple heterogeneous access networks. In: MMSys 2011 Proceedings of the 2nd Annual ACM Conference on Multimedia Systems, pp. 145–156. ACM, New York (2011)

    Google Scholar 

  15. Yu, W., Jin, X., Goto, S.: Temporal scalable decoding process with frame rate conversion method for surveillance video. In: Qiu, G., Lam, K.M., Kiya, H., Xue, X.-Y., Kuo, C.-C., Lew, M.S. (eds.) PCM 2010, Part II. LNCS, vol. 6298, pp. 297–308. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  16. Konstantin, M., Emanuele, Q., Giaiiluca, G.: Adaptation algorithm for adaptive streaming over HTTP. In: IEEE 19th International Packet Video Workshop, pp. 173–178. IEEE Press, Munich (2012)

    Google Scholar 

  17. Evensen, K., Kaspar, D., Griwodz, C.: Improving the performance of quality-adaptive video streaming over multiple heterogeneous access networks. In: MMSys 2011 Proceedings of the 2nd Annual ACM Conference on Multimedia Systems, pp. 57–69. ACM, New York (2011)

    Google Scholar 

  18. Xiang, S., Cai, L., Pan, J.: Adaptive scalable video streaming in wireless networks. In: MMSys 2012 Proceedings of the 3rd Multimedia Systems Conference, pp. 167–172. ACM, New York (2012)

    Google Scholar 

  19. Xing, M., Xiang, S., Cai, L.: Rate adaptation strategy for video streaming over multiple wireless access networks. In: IEEE Global Communications Conference, pp. 5745–5750. IEEE Press, New York (2012)

    Google Scholar 

  20. Arash, A., Vincenzo, M.: A survey on opportunistic scheduling in wireless communications. IEEE Commun. Surv. Tutor. 15, 1671–1688 (2012). IEEE Press, New York

    Google Scholar 

  21. Garcia, S.A., Serrano, P., Banchs, A.: Energy-efficient optimization for distributed opportunistic scheduling. IEEE Commun. Lett. 18, 1083–1086 (2014). IEEE Press, New York

    Article  Google Scholar 

  22. Pulakis, M.I., Panagopoulos, A.D., Constantinou, P.: Channel-aware opportunistic transmission scheduling for energy-efficient wireless links. IEEE Trans. Veh. Technol. 62, 192–204 (2014). IEEE

    Article  Google Scholar 

  23. Yan, Z., Zhang, Z., Jiang, H.: Optimal traffic scheduling in vehicular delay tolerant networks. IEEE Commun. Lett. 16, 50–53 (2012). IEEE

    Article  Google Scholar 

  24. Huang, L., Jiang, H., Zhang, Z.: Optimal traffic scheduling between roadside units in vehicular delay tolerant networks. IEEE Trans. Veh. Technol. 64, 1079–1094 (2015). IEEE

    Article  Google Scholar 

  25. Van Phan, C.: A game-theoretic framework for opportunistic transmission in wireless networks. In: 5th International Conference on Communications and Electronics, pp. 150–154. IEEE, Danang (2014)

    Google Scholar 

  26. Wang, W., Motani, M., Srinivasan, V.: Opportunistic energy-efficient contact probing in delay-tolerant applications. IEEE/ACM Trans. Netw. 17, 1592–1605 (2009). IEEE

    Article  Google Scholar 

  27. Zhou, H., Zhao, H., Chen, J.: Energy saving and network connectivity tradeoff in opportunistic mobile networks. In: 2012 IEEE Global Communications Conference, pp. 524–529. IEEE (2012)

    Google Scholar 

  28. Gao, W., Li, Q.: Wakeup scheduling for energy-efficient communication in opportunistic mobile networks. In: INFOCOM 2013 Proceedings, pp. 2058–2066. IEEE, Turin (2013)

    Google Scholar 

  29. Osama, A., Lutz, L.: Opportunistic energy efficient cooperative communication. IEEE Wirel. Commun. Lett. 1, 412–415 (2012). IEEE

    Article  Google Scholar 

  30. Zuo, J., Dong, C., Nguyen, H.V.: Cross-layer aided energy-efficient opportunistic routing in ad hoc networks. IEEE Trans. Commun. 62(2), 522–535 (2014)

    Article  Google Scholar 

Download references

Acknowledgments

This research is supported in part by the National Natural Science Foundation of China under Grant Nos. 61562006, 61262003, in part by the Natural Science Foundation of Guangxi Province under Grant No. 2010GXNSFC013013.

Author information

Authors and Affiliations

  1. School of Computer and Electronic Information, Guangxi University, Nanning, 530004, Guangxi, China

    Xiaolong Gong, Gaocai Wang & Nao Wang

Authors
  1. Xiaolong Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gaocai Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaolong Gong .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Guojin Wang

  2. Sch of Information Technologies, Sydney University, Sydney, New South Wales, Australia

    Albert Zomaya

  3. Department of Information and Commu, University of Murcia, Murcia, Murcia, Spain

    Gregorio Martinez

  4. Changsha, China

    Kenli Li

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Gong, X., Wang, G., Wang, N. (2015). An Optimal Rate Adaptive Video Streaming Scheme to Improve QoE of Dash. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9532. Springer, Cham. https://doi.org/10.1007/978-3-319-27161-3_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27161-3_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27160-6

  • Online ISBN: 978-3-319-27161-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation