@inproceedings{4aeda1a66ec04b2ba66d47636c4d4c4a,
title = "On the Assessment and Debugging of QoE in SDN: Work in Progress",
abstract = "The paper presents a work in progress on the Quality of Experience (QoE) assessment in the context of Software Defined Networking (SDN). Preliminary experimental results clearly demonstrate the necessity of considering QoE parameters, which are not taken into account in traditional networks. Dynamic network (re-) configuration requires monitoring and measuring attributes not only at the network level but also at the control and application planes. We discuss a list of such parameters and propose a monitoring algorithm to consider distributed and asynchronous points of observation for the QoE assessment of SDN network services. Further, for the cases when a low QoE level is detected (or predicted using machine learning), we propose an algorithm for effective diagnosis of the QoE degradation, based on an iterative deduction of a QoE attribute contributing the most to a low QoE value.",
keywords = "Debugging/Diagnosis, Machine Learning, Quality of Experience, Software Defined Networking",
author = "Jose Reyes and Jorge Lopez and Natalia Kushik and Djamal Zeghlache",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 18th IEEE International Symposium on Network Computing and Applications, NCA 2019 ; Conference date: 26-09-2019 Through 28-09-2019",
year = "2019",
month = sep,
day = "1",
doi = "10.1109/NCA.2019.8935029",
language = "English",
series = "2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Aris Gkoulalas-Divanis and Mirco Marchetti and Avresky, \{Dimiter R.\}",
booktitle = "2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019",
}