Skip to main content
SpringerLink
Log in

Management of virtual network resources for multimedia applications

  • Regular Paper
  • Published:
Multimedia Systems Aims and scope Submit manuscript

Abstract

The Internet is the primary means for multimedia content sharing, playing a central role in the lifestyle of users. As a consequence, in the past few years, the traffic demand for access and edge networks has increased (video stream downloading, videoconferencing or even the broadcasting of video streams through the Internet), since multimedia applications have strict requirements, including high bandwidth, small amount of loss and low delay. To address this scenario, the edge as a service (EaaS) paradigm arises as a suitable approach to increasing the quality of Internet access. The EaaS uses network virtualization and software-defined networks to improve the resource utilization and manageability. Within this context, this article proposes a framework to manage the virtual network resource (VNR) according to the multimedia application characteristics, and not only the network requirements. Additionally, a study about the relationship between quality of experience (QoE) and VNR availability was performed to be used as a basis for a proposed resource allocation adjustment mechanism. Experiments using real multimedia traffic under distinct scenarios demonstrate the effectiveness of the proposed framework to ensure the QoE of users through the management of the VNR.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Notes

  1. media.xiph.org/video/derf/.

  2. youtube.com/watch?v=tB04NBjyh5U.

  3. youtube.com/watch?v=RDsxKXa0PbA.4.

  4. www.youtube.com/watch?v=XpuYttdxFF8.

  5. http://sourceforge.net/projects/iperf/.

References

  1. Abdeljaouad, I., Karmouch, A.: Utility function for predicting iptv quality of experience based on delay in overlay networks. In: Consumer Communications and Networking Conference (CCNC), 2013 IEEE, pp. 190–195 (2013)

  2. Aguiar, E., Riker, A., Cerqueira, E., Abelm, A., Mu, M., Braun, T., Curado, M., Zeadally, S.: A real-time video quality estimator for emerging wireless multimedia systems. Wirel. Netw. 20, 1759–1776 (2014)

  3. Davy, S., Famaey, J., Serrat-Fernandez, J., Gorricho, J., Miron, A., Dramitinos, M., Neves, P., Latre, S., Goshen, E.: Challenges to support edge-as-a-service. IEEE Commun. Mag. 52(1), 132–139 (2014)

    Article  Google Scholar 

  4. Drutskoy, D., Keller, E., Rexford, J.: Scalable network virtualization in software-defined networks. IEEE Internet Comput. 17(2), 20–27 (2013)

  5. Georgopoulos, P., Elkhatib, Y., Broadbent, M., Mu, M., Race, N.: Towards network-wide qoe fairness using openflow-assisted adaptive video streaming. In: Proceedings of the 2013 ACM SIGCOMM Workshop on Future Human-Centric Multimedia Networking, pp. 15–20. ACM (2013)

  6. Gomes, R.L., Bittencourt, L.F., Madeira, E.: A framework for sla establishment of virtual networks based on qos classes. In: Proceedings of Fifth International Workshop on Management of the Future Internet (ManFI) (2013)

  7. Gomes, R.L., Bittencourt, L.F., Madeira, E.R.M.: A bandwidth-feasibility algorithm for reliable virtual network allocation. In: 28th IEEE International Conference on Advanced Information Networking and Applications (AINA) (2014)

  8. Gomez, G., de Torres, E., Lorca, J., Garca, R., Prez, Q., Arias, E.: Assessment of multimedia services qos/qoe over lte networks. In: Obaidat, Mohammad, S., Filipe, Joaquim (eds.) E-Business and Telecommunications. Communications in Computer and Information Science, vol. 455, pp. 257–272. Springer, Berlin (2014)

  9. Grimaudo, L., Mellia, M., Baralis, E.: Hierarchical learning for fine grained internet traffic classification. In: 8th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 463–468 (2012)

  10. Harrell, F.: Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. Graduate Texts in Mathematics. Springer, Berlin (2001)

    Book  MATH  Google Scholar 

  11. Hemmati, M., Yassine, A., Shirmohammadi, S.: An online learning approach to qoe-fair distributed rate allocation in multi-user video streaming. In: 8th International Conference on Signal Processing and Communication Systems (ICSPCS), pp. 1–6 (2014)

  12. Hirvonen, M., Laulajainen, J.: Two-phased network traffic classification method for quality of service management. In: IEEE 13th International Symposium on Consumer Electronics, 2009 (ISCE ’09), pp. 962–966 (2009)

  13. Hobfeld, T., Binzenhofer, A.: Analysis of skype voip traffic in umts: end-to-end qos and qoe measurements. Comput. Netw. 52(3), 650–666 (2008)

    Article  MATH  Google Scholar 

  14. Hobfeld, T., Tran-Gia, P., Fiedler, M.: Quantification of quality of experience for edge-based applications. In: Mason, L., Drwiega, T., Yan, J. (eds.) Managing Traffic Performance in Converged Networks. Lecture Notes in Computer Science, vol. 4516, pp. 361–373. Springer, Berlin (2007)

    Chapter  Google Scholar 

  15. ITU-T Recommendation P.910: Subjective video quality assessment methods for multimedia applications (2008)

  16. Jin, Y., Duffield, N., Erman, J., Haffner, P., Sen, S., Zhang, Z.L.: A modular machine learning system for flow-level traffic classification in large networks. ACM Trans. Knowl. Discov. Data 6(1), 1–34 (2012)

  17. Kim, H., Feamster, N.: Improving network management with software defined networking. IEEE Commun. Mag. 51(2), 114–119 (2013)

    Article  Google Scholar 

  18. Klein, D., Zinner, T., Borchert, K., Lange, S., Singeorzan, V., Schmid, M.: Evaluation of video quality monitoring based on pre-computed frame distortions. In: Advances in Communication Networking. Lecture Notes in Computer Science, vol. 8115 (2013)

  19. Lantz, B., Heller, B., McKeown, N.: A network in a laptop: rapid prototyping for software-defined networks. In: Proceedings of the Ninth ACM SIGCOMM Workshop on Hot Topics in Networks, Hotnets ’10, pp. 19:1–19:6. ACM, New York, NY (2010)

  20. Mahimkar, A., Chiu, A., Doverspike, R., Feuer, M.D., Magill, P., Mavrogiorgis, E., Pastor, J., Woodward, S.L., Yates, J.: Bandwidth on demand for inter-data center communication. In: 10th ACM Workshop on Hot Topics in Networks (2011)

  21. Martinez-Yelmo, I., Seoane, I., Guerrero, C.: Fair quality of experience (qoe) measurements related with networking technologies. In: Osipov, E., Kassler, A., Bohnert, T., Masip-Bruin, X. (eds.) Wired/Wireless Internet Communications. Lecture Notes in Computer Science, vol. 6074, pp. 228–239. Springer, Berlin (2010)

    Chapter  Google Scholar 

  22. Menkovski, V., Exarchakos, G., Liotta, A.: Online qoe prediction. In: Second International Workshop on Quality of Multimedia Experience (QoMEX), pp. 118–123 (2010)

  23. Möller, S., Raake, A.: Quality of Experience: Advanced Concepts. Applications and Methods. T-Labs Series in Telecommunication Services. Springer International Publishing, Cham (2014)

    Book  Google Scholar 

  24. Park, J., Seshadrinathan, K., Lee, S., Bovik, A.: Video quality pooling adaptive to perceptual distortion severity. IEEE Trans. Image Process. 22(2), 610–620 (2013)

    Article  MathSciNet  Google Scholar 

  25. Reichl, P., Egger, S., Schatz, R., D’Alconzo, A.: The logarithmic nature of qoe and the role of the weber-fechner law in qoe assessment. In: IEEE International Conference on Communications (ICC) (2010)

  26. Serral-Gracià, R., Cerqueira, E., Curado, M., Yannuzzi, M., Monteiro, E., Masip-Bruin, X.: An overview of quality of experience measurement challenges for video applications in ip networks. In: Proceedings of the 8th International Conference on Wired/Wireless Internet Communications, pp. 252–263. Springer, Berlin (2010)

  27. Shafiq, M.Z., Ji, L., Liu, A.X., Wang, J.: Characterizing and modeling internet traffic dynamics of cellular devices. In: Proceedings of the ACM SIGMETRICS Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS ’11, pp. 305–316. ACM (2011)

  28. Sherwood, R., Chan, M., Covington, A., Gibb, G., Flajslik, M., Handigol, N., Huang, T.Y., Kazemian, P., Kobayashi, M., Naous, J., Seetharaman, S., Underhill, D., Yabe, T., Yap, K.K., Yiakoumis, Y., Zeng, H., Appenzeller, G., Johari, R., McKeown, N., Parulkar, G.: Carving research slices out of your production networks with openflow. SIGCOMM Comput. Commun. Rev. 40, 129–130 (2010)

    Article  Google Scholar 

  29. Skoldstrom, P., Yedavalli, K.: Network virtualization and resource allocation in openflow-based wide area networks. In: Proceedings of IEEE International Conference on Communications (ICC) (2012)

  30. Skorin-Kapov, L., Ivesic, K., Aristomenopoulos, G., Papavassiliou, S.: Approaches for utility-based qoe-driven optimization of network resource allocation for multimedia services. In: Data Traffic Monitoring and Analysis. Lecture Notes in Computer Science, vol. 7754, pp. 337–358. Springer, Berlin (2013)

  31. Soundararajan, R., Bovik, A.: Video quality assessment by reduced reference spatio-temporal entropic differencing. IEEE Trans. Circuits Syst. Video Technol. 23, 684–694 (2013)

  32. Stockhammer, T.: Dynamic adaptive streaming over http: Standards and design principles. In: Proceedings of the Second Annual ACM Conference on Multimedia Systems, pp. 133–144. ACM (2011)

  33. Team, R.P.: RYU SDN Framework. Release 1.0. RYU project team (2014). http://books.google.com.br/books?id=JC3rAgAAQBAJ

  34. Wang, N., Zhang, Y., Serrat, J., Gorricho, J.L., Guo, T., Hu, Z., Zhang, P.: A two-dimensional architecture for end-to-end resource management in virtual network environments. IEEE Netw. 26(5), 8–14 (2012)

    Article  Google Scholar 

  35. Zhang, M., Wu, C., Qiang, Y., Jiang, M.: Robust dynamic bandwidth allocation method for virtual networks. In: Proceedings of IEEE International Conference on Communications (ICC) (2012)

  36. Zhou, L., Yang, Z., Rodrigues, J., Guizani, M.: Exploring blind online scheduling for mobile cloud multimedia services. IEEE Wirel. Commun. 20(3), 54–61 (2013)

    Article  Google Scholar 

  37. Zhou, L., Yang, Z., Wen, Y., Wang, H., Guizani, M.: Resource allocation with incomplete information for qoe-driven multimedia communications. IEEE Trans. Wirel. Commun. 12(8), 3733–3745 (2013)

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank São Paulo Research Foundation (FAPESP - Grant 2012/04945-7), CAPES (Grant 12342/13-0), FAPESPA and CNPq for the financial support.

Author information

Authors and Affiliations

  1. University of Campinas (UNICAMP), Campinas, São Paulo, Brazil

    R. L. Gomes, L. Bittencourt & E. Madeira

  2. Federal University of Para (UFPA), Belém, Pará, Brazil

    E. Cerqueira

  3. University of California, Los Angeles (UCLA), Los Angeles, CA, USA

    M. Gerla

Authors
  1. R. L. Gomes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. L. Bittencourt
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. E. Madeira
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. E. Cerqueira
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Gerla
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. L. Gomes.

Additional information

Communicated by L. Zhou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gomes, R.L., Bittencourt, L., Madeira, E. et al. Management of virtual network resources for multimedia applications. Multimedia Systems 23, 405–419 (2017). https://doi.org/10.1007/s00530-015-0501-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00530-015-0501-6

Keywords

Search

Navigation