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International Conference on Multimedia Modeling

MMM 2012: Advances in Multimedia Modeling pp 429–439Cite as

Client-Driven Price Selection for Scalable Video Streaming with Advertisements

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7131))

Abstract

This paper considers the scalable delivery framework of streaming video content with advertisements. In this framework, the revenues generated from the ads are used to subsidize the cost and thus attract more clients. We analyze a predictive scheme that provides clients with multiple price options, each with a certain number of expected viewed ads. The price depends on the royalty fee of the requested video, its delivery cost based on the current system state, the applied scheduling policy, and the number of viewed ads. The price is lower when the number of viewed ads is larger.

This work is supported in part by NSF grant CNS-0834537.

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References

  1. Aggarwal, C.C., Wolf, J.L., Yu, P.S.: The maximum factor queue length batching scheme for Video-on-Demand systems. IEEE Trans. on Computers 50(2), 97–110 (2001)

    Article  Google Scholar 

  2. Al-Hadrusi, M., Sarhan, N.J.: A scalable delivery framework and a pricing model for streaming media with advertisements. In: Proc. of SPIE/ACM Multimedia Computing and Networking Conference, MMCN (Januray 2008)

    Google Scholar 

  3. Cai, Y., Hua, K.A.: An efficient bandwidth-sharing technique for true video on demand systems. In: Proc. of ACM Multimedia, pp. 211–214 (October 1999)

    Google Scholar 

  4. Dan, A., Sitaram, D., Shahabuddin, P.: Scheduling policies for an on-demand video server with batching. In: Proc. of ACM Multimedia, pp. 391–398 (October 1994)

    Google Scholar 

  5. Eager, D.L., Vernon, M.K., Zahorjan, J.: Optimal and efficient merging schedules for Video-on-Demand servers. In: Proc. of ACM Multimedia, pp. 199–202 (October 1999)

    Google Scholar 

  6. Eager, D.L., Vernon, M.K., Zahorjan, J.: Minimizing bandwidth requirements for on-demand data delivery. IEEE Trans. on Knowledge and Data Engineering 13(5), 742–757 (2001)

    Article  Google Scholar 

  7. Gao, L., Kurose, J., Towsley, D.: Efficient schemes for broadcasting popular videos. In: Proc. of the Int’l Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV) (July 1998)

    Google Scholar 

  8. Gill, P., Shi, L., Mahanti, A., Li, Z., Eager, D.: Scalable on-demand media streaming for heterogeneous clients. ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMCCAP) 5(1), 1–24 (2008)

    Article  Google Scholar 

  9. Hu, A.: Video-on-Demand broadcasting protocols: A comprehensive study. In: Proc. of IEEE INFOCOM (April 2001)

    Google Scholar 

  10. Hua, K.A., Cai, Y., Sheu, S.: Patching: A multicast technique for true Video-on-Demand services. In: Proc. of ACM Multimedia, pp. 191–200 (1998)

    Google Scholar 

  11. Huang, C., Janakiraman, R., Xu, L.: Loss-resilient on-demand media streaming using priority encoding. In: Proc. of ACM Multimedia, pp. 152–159 (October 2004)

    Google Scholar 

  12. Jagannathan, S., Almeroth, K.C.: The dynamics of price, revenue, and system utilization. In: Proc. of the IFIP/IEEE International Conference on Management of Multimedia Networks and Services, pp. 329–344 (2001)

    Google Scholar 

  13. Ma, H., Shin, G.K., Wu, W.: Best-effort patching for multicast true VoD service. Multimedia Tools Appl. 26(1), 101–122 (2005)

    Article  Google Scholar 

  14. Rayburn, D.: Streaming and Digital Media: Understanding the Business and Technology. Focal Press (2007)

    Google Scholar 

  15. Rocha, M., Maia, M., Cunha, I., Almeida, J., Campos, S.: Scalable media streaming to interactive users. In: Proc. of ACM Multimedia, pp. 966–975 (November 2005)

    Google Scholar 

  16. Sarhan, N.J., Das, C.R.: Caching and scheduling in NAD-based multimedia servers. IEEE Trans. on Parallel and Distributed Systems 15(10), 921–933 (2004)

    Article  Google Scholar 

  17. Sarhan, N.J., Al-Hadrusi, M.: Waiting-time prediction and QoS-based pricing for video streaming with advertisements. In: Proc. of IEEE International Symposium on Multimedia, ISM (December 2010)

    Google Scholar 

  18. Sarhan, N.J., Das, C.R.: A New Class of Scheduling Policies for Providing Time of Service Guarantees in Video-on-Demand Servers. In: Vicente, J.B., Hutchison, D. (eds.) MMNS 2004. LNCS, vol. 3271, pp. 127–139. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  19. Sarhan, N.J., Qudah, B.: Efficient cost-based scheduling for scalable media streaming. In: Proc. of Multimedia Computing and Networking Conf., MMCN (January 2007)

    Google Scholar 

  20. Shi, L., Sessini, P., Mahanti, A., Li, Z., Eager, D.L.: Scalable streaming for heterogeneous clients. In: Proc. of ACM Multimedia, pp. 337–346 (October 2006)

    Google Scholar 

  21. Tantaoui, M.A., Hua, K.A., Do, T.T.: Broadcatch: A periodic broadcast technique for heterogeneous Video-on-Demand. IEEE Trans. on Broadcasting 50(3) (September 2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA

    Musab S. Al-Hadrusi & Nabil J. Sarhan

Authors
  1. Musab S. Al-Hadrusi
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  2. Nabil J. Sarhan
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Editor information

Editors and Affiliations

  1. Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Universitätsstr. 65-67, 9020, Klagenfurt, Austria

    Klaus Schoeffmann

  2. EURECOM, 2229 Rout des Crêtes, BP 193, 06904, Sophia Antipolis Cedex, France

    Bernard Merialdo

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, 15213-3890, Pittsburgh, PA, USA

    Alexander G. Hauptmann

  4. Department of Computer Science, City University of Hong Kong, Tat Chee Ave, Kowloon, Hong Kong

    Chong-Wah Ngo

  5. Department of Electronic and Electrical Engineering, University College London, Roberts Building, Torrington Place, WC1E 7JE, London, UK

    Yiannis Andreopoulos

  6. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 188/2, 1040, Vienna, Austria

    Christian Breiteneder

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© 2012 Springer-Verlag Berlin Heidelberg

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Al-Hadrusi, M.S., Sarhan, N.J. (2012). Client-Driven Price Selection for Scalable Video Streaming with Advertisements. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_40

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  • DOI: https://doi.org/10.1007/978-3-642-27355-1_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27354-4

  • Online ISBN: 978-3-642-27355-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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