Skip to main content
Log in

Mathematical Model of a Network Slicing Approach for Video and Web Traffic

  • DATA TRANSMISSION IN COMPUTER NETWORKS
  • Published:
Journal of Communications Technology and Electronics Aims and scope Submit manuscript

Abstract—This paper presents the study of adaptive bitrate control algorithms used to control the quality of the video stream from video surveillance cameras to remote servers through a live wireless network with video and web traffic. In such a scenario, bitrate control algorithms may select an appropriate video bitrate taking the current state of the camera buffers into account. A mathematical model of video streaming is introduced that allows evaluation of the performance of different bitrate control algorithms.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.

Similar content being viewed by others

REFERENCES

  1. E. Khorov, A. Kiryanov, A. Lyakhov, and G. Bianchi, “A tutorial on IEEE 802.11ax high efficiency WLANs,” IEEE Commun. Surveys and Tutorials. [In press]. https://10.1109/COMST.2018.2871099

  2. Y. Wang, “Survey of objective video quality measurements,” (Computer Sci. Faculty Publ., Department of Comp. Sci., Worcester Polytech. Inst., 2006).

  3. D. Bankov, E. Khorov, and A. Lyakhov, “Fast quality assessment of videos transmitted over lossy networks,” in Proc. Int. Conf. on Engineering and Telecommunication (EnT), 2014.

  4. L. Romero L. A Dynamic Adaptive HTTP Streaming Video Service for Google Android (Royal Inst. Technol. (KTH), 2011).

  5. K. Spiteri, R. Urgaonkar, and R. Sitaraman, “BOLA: near-optimal bitrate adaptation for online videos,” in Proc. IEEE INFOCOM, San Francisco, CA,Apr. 1015, 2016 (IEEE, New York, 2016).

  6. P. Mahonen, “Wireless video surveillance: system concepts,” in Proc. Int. Conf. on Image Analysis and Processing, Venice, Italy, Sept. 2729, 1999.

  7. G. Gualdi, A. Prati, and R. Cucchiara, “Video streaming for mobile video surveillance,” IEEE Trans. Multimedia 10, 1142–1154 (2008).

    Article  Google Scholar 

  8. V. Rosu and M. Marcu, “Real time adaptive video streaming,” in Proc. 12 Int. Conf. Intelligent Computer Communication and Processing (ICCP), 2016 (ICCP, 2016).

  9. E. Khorov, A. Krasilov, M. Liubogoshchev, and S. Tang, “SEBRA: SAND-enabled bitrate and resource allocation algorithm for network-assisted video streaming,” in Proc. WiMob 2017, Rome, Italy, Oct. 9–11, 2017 (IEEE, New York, 2017).

  10. I. F. Akyildiz, E. Khorov, A. Kiryanov, D. Kovkov, A. Krasilov, M. Liubogoshchev, D. Shmelkin, and S. Tang, “XStream: A new platform enabling communication between applications and the 5G network,” in Proc. IEEE Globecom, CA5GS, Abu Dhabi, UAE, 2018 (IEEE, New York, 2018).

  11. Cisco Visual Networking Index: Forecast and Methodology, 20162021 (Cisco White Paper, 2017).

  12. J. C. Tanner, “A derivation of the borel distribution,” Biometrika 48, 222–224 (1961).

    Article  MathSciNet  MATH  Google Scholar 

  13. C. D. Pack, “The output of an M/D/1 queue,” Operations Res. 23, 750–760 (1975).

    Article  MathSciNet  MATH  Google Scholar 

  14. W. Rahman and K. Chung, “Buffer-based adaptive bitrate algorithm for streaming over HTTP,” KSII Trans. Internet and Inf. Systems 9 (11), (2015).

Download references

Funding

This study was carried out at the Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences under the support of Government of the Russian Federation (contract no. 14.W03.31.0019).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. S. Zhirnov.

Additional information

Translated by E. Oborin

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhirnov, N.S., Lyakhov, A.I. & Khorov, E.M. Mathematical Model of a Network Slicing Approach for Video and Web Traffic. J. Commun. Technol. Electron. 64, 890–899 (2019). https://doi.org/10.1134/S1064226919080278

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1064226919080278

Navigation