@article{oai:kyutech.repo.nii.ac.jp:00007237,
 author = {Shimokawa,  Shumpei and Taenaka,  Yuzo and Tsukamoto, Kazuya and 塚本, 和也 and Lee,  Myung},
 journal = {Advances in Intelligent Systems and Computing},
 month = {Aug},
 note = {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., 12th International Workshop on Information Network Design (WIND-2020), in conjunction with 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), August 31st - September 2nd, 2020, University of Victoria, Canada（新型コロナ感染拡大に伴い、現地開催中止）},
 pages = {480--492},
 title = {SDN-Based In-network Early QoE Prediction for Stable Route Selection on Multi-path Network},
 volume = {1263},
 year = {2020},
 yomi = {ツカモト, カズヤ}
}