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.
CITATION STYLE
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 Advances in Intelligent Systems and Computing (Vol. 1263 AISC, pp. 480–492). Springer. https://doi.org/10.1007/978-3-030-57796-4_46
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