Abstract
As QoE is useful to uniformly handle many kinds of application flows, we have been tackling QoE-oriented network resource management based on SDN technology. Toward this goal, our previous study proposed a QoE measurement method for on-going streaming flows. However, the standard QoE calculation model requires at least 8 s for collecting the flow information. In this study, we tackle early QoE prediction on a SDN-enabled multi-path network. To predict video QoE as soon as possible, we exploit not only packet loss rate measured regularly but also the number of packet transmissions by short-period measurement at the flow arrival. Finally, through experiments, we demonstrated that QoE of all flows can be maximized by selecting an appropriate route based on the predicted QoE.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Tagawa, M., Taenaka, Y., Tsukamoto, K., Yamaguchi, S.: A channel utilization method for flow admission control with maximum network capacity toward loss-free software defined WMNs. In: The Fourteenth International Conference on Networks (ICN 2015), pp. 118–123 (February 2016)
Shimokawa, S., Kanaoka, T., Taenaka, Y., Tsukamoto, K., Lee, M.: SDN-based time-domain error correction for in-network video QoE estimation in wireless networks. In: The 11th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2019), pp. 331–341 (September 2019)
Erfanian, A., Tashtarian, F., Yaghmaee, M.H.: On maximizing QoE in AVC-based http adaptive streaming: an SDN approach. In: 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), pp. 1–10 (June 2018)
Zinner, T., Jarschel, M., Blenk, A., Wamser, F., Kellerer, W.: Dynamic application-aware resource management using software-defined networking: implementation prospects and challenges. In: 2014 IEEE Network Operations and Management Symposium (NOMS), pp. 1–6 (May 2014)
Dobrijevic, O., Kassler, A., Skorin-Kapov, L., Matijasevic, M.: Q-POINT: QoE-driven path optimization model for multimedia services. In: Wired/Wireless Internet Communications (WWIC 2014), pp. 134–147 (May 2014)
Recommendation ITU-T G.1071: Opinion model for network planning of video and audio streaming applications (November 2016)
Thakolsri, S., Khan, S., Steinbach, E., Kellerer, W.: QoE-driven cross-layer optimization for high speed downlink packet access. J. Commun. 4(9), 669–680 (2009)
AT&T Speed Tiers. https://att.net/speedtiers
Recommended Upload Encoding Settings, YouTube Help. https://support.google.com/youtube/answer/1722171?hl=en
Acknowledgements
This paper was partly supported by JSPS KAKENHI Grant Number 18H03234, NICT Grant Number 19304, USA Grant number NSF 1818884 and 1827923.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Shimokawa, S., Taenaka, Y., Tsukamoto, K., Lee, M. (2021). SDN-Based In-network Early QoE Prediction for Stable Route Selection on Multi-path Network. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_46
Download citation
DOI: https://doi.org/10.1007/978-3-030-57796-4_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57795-7
Online ISBN: 978-3-030-57796-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)