Abstract
Currently, video streaming technology is widely used for entertainment, advertising, social networking and so on. Dynamic adaptive streaming over HTTP (DASH) has largely replaced the previous release of streaming video using UDP. Many researchers have proposed algorithms to improve DASH performance. There are two types of methods: bandwidth-based and buffer-based. Both methods have pros and cons. In this article, we propose a DASH algorithm that takes both bandwidth and buffer into account. And we imitate the method of network congestion control to adjust bitrate of the video segment. The algorithm was implemented and tested, and compared with the state-of-the-art DASH algorithm–BOLA. The results showed that B2DASH outperformed BOLA for both the average bitrate and buffer rise time.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Liu, C., Bouazizi, I., Gabbouj, M.: Rate adaptation for adaptive HTTP streaming. In: ACM Conference on Multimedia Systems, pp. 169–174. ACM (2011)
Zhou, B., Wang, J., Zou, Z., et al.: Bandwidth estimation and rate adaptation in HTTP streaming. In: International Conference on Computing, NETWORKING and Communications, pp. 734–738. IEEE (2012)
Zhao, M., Gong, X., Liang, J., et al.: QoE-driven cross-layer optimization for wireless dynamic adaptive streaming of scalable videos over HTTP. IEEE Trans. Circuits Syst. Video Technol. 25(3), 451–465 (2014)
Fallah, Y.P., Mansour, H., Khan, S., et al.: A link adaptation scheme for efficient transmission of H.264 scalable video over multirate WLANs. IEEE Trans. Circuits Syst. Video Technol. 18(7), 875–887 (2008)
White Paper: Cisco visual networking index: Global mobile data traffic- forecast update, 2014–2019. Technical report, Cisco, February 2015
Huang, T.Y., Johari, R., Mckeown, N.: Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming. In: ACM SIGCOMM Workshop on Future Human-Centric Multimedia NETWORKING, pp. 9–14. ACM (2013)
Huang, T.Y., Johari, R., Mckeown, N., et al.: A buffer-based approach to rate adaptation: evidence from a large video streaming service. In: ACM Conference on SIGCOMM, pp. 187–198. ACM (2014)
Jiang, J., Sekar, V., Zhang, H.: Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE. IEEE/ACM Trans. Netw. 22(1), 326–340 (2014)
Zhou, C., Lin, C.W., Zhang, X., et al.: A control-theoretic approach to rate adaption for DASH over multiple content distribution servers. IEEE Trans. Circuits Syst. Video Technol. 24(4), 681–694 (2014)
Zhou, C., Lin, C.W., Guo, Z.: mDASH: a markov decision-based rate adaptation approach for dynamic HTTP streaming. IEEE Trans. Multimed. 18(4), 738–751 (2015)
ISO: Dynamic adaptive streaming over HTTP (DASH). Technical Report 23009, ISO/IEC (2012)
dash.js. https://github.com/Dash-Industry-Forum/dash.js/wiki
Li, Z.: Probe and adapt: rate adaptation for HTTP video streaming at scale. IEEE J. Sel. Areas Commun. 32, 719–733 (2014)
De Cicco, L., Caldaralo, V., Palmisano, V., Mascolo, S.: ELASTIC: a client-side controller for dynamic adaptive streaming over HTTP (DASH). In: 2013 20th International Packet Video Workshop. IEEE (2013)
Yao, J., Kanhere, S.S., Hassan, M.: An empirical study of bandwidth predictability in mobile computing. In: Proceedings of the Third ACM International Workshop on Wireless Network Testbeds. ACM (2008)
Romirer-Maierhofer, P., Ricciato, F., D’Alconzo, A., Franzan, R., Karner, W.: Network-wide measurements of TCP RTT in 3G. In: Papadopouli, M., Owezarski, P., Pras, A. (eds.) TMA 2009. LNCS, vol. 5537, pp. 17–25. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01645-5_3
Spiteri, K., Urgaonkar, R., Sitaraman, R.K.: BOLA: near-optimal bitrate adaptation for online videos (2016)
Huang, T.-Y., Johari, R., McKeown, N.: Downton abbey without the hiccups: buffer-based rate adaptation for http video streaming. In: Proceedings of the 2013 ACM SIGCOMM Workshop on Future Humancentric Multimedia Networking. ACM (2013)
Huang, T.-Y., Johari, R., McKeown, N., Trunnell, M., Watson, M.: A buffer-based approach to rate adaptation: evidence from a large video streaming service. ACM SIGCOMM Comput. Commun. Rev. 44, 187–198 (2015)
Tian, G., Liu, Y.: Towards agile and smooth video adaptation in dynamic HTTP streaming. In: Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies, pp. 109–120. ACM (2012)
Acknowledgements
This work was supported by State Key Laboratory of Smart Grid Protection and Control of NARI Group Corporation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Du, P., Wang, J., Wang, X., Xu, Z. (2018). B2DASH: Bandwidth and Buffer-Based Dynamic Adaptive Streaming over HTTP. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_56
Download citation
DOI: https://doi.org/10.1007/978-3-030-00557-3_56
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00556-6
Online ISBN: 978-3-030-00557-3
eBook Packages: Computer ScienceComputer Science (R0)