On the Assessment and Debugging of QoE in SDN: Work in Progress

Jose Reyes; Jorge Lopez; Natalia Kushik; Djamal Zeghlache

doi:10.1109/NCA.2019.8935029

On the Assessment and Debugging of QoE in SDN: Work in Progress

Jose Reyes
, Jorge Lopez
, Natalia Kushik
, Djamal Zeghlache

Institut Polytechnique de Paris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019
Editors	Aris Gkoulalas-Divanis, Mirco Marchetti, Dimiter R. Avresky
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728125220
DOIs	https://doi.org/10.1109/NCA.2019.8935029
Publication status	Published - 1 Sept 2019
Event	18th IEEE International Symposium on Network Computing and Applications, NCA 2019 - Cambridge, United States Duration: 26 Sept 2019 → 28 Sept 2019

Publication series

Name	2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019

Conference

Conference	18th IEEE International Symposium on Network Computing and Applications, NCA 2019
Country/Territory	United States
City	Cambridge
Period	26/09/19 → 28/09/19

Keywords

Debugging/Diagnosis
Machine Learning
Quality of Experience
Software Defined Networking

Access to Document

10.1109/NCA.2019.8935029

Cite this

Reyes, J., Lopez, J., Kushik, N., & Zeghlache, D. (2019). On the Assessment and Debugging of QoE in SDN: Work in Progress. In A. Gkoulalas-Divanis, M. Marchetti, & D. R. Avresky (Eds.), 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019 Article 8935029 (2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NCA.2019.8935029

Reyes, Jose ; Lopez, Jorge ; Kushik, Natalia et al. / On the Assessment and Debugging of QoE in SDN : Work in Progress. 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019. editor / Aris Gkoulalas-Divanis ; Mirco Marchetti ; Dimiter R. Avresky. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019).

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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",

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doi = "10.1109/NCA.2019.8935029",

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Reyes, J, Lopez, J, Kushik, N & Zeghlache, D 2019, On the Assessment and Debugging of QoE in SDN: Work in Progress. in A Gkoulalas-Divanis, M Marchetti & DR Avresky (eds), 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019., 8935029, 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019, Institute of Electrical and Electronics Engineers Inc., 18th IEEE International Symposium on Network Computing and Applications, NCA 2019, Cambridge, United States, 26/09/19. https://doi.org/10.1109/NCA.2019.8935029

On the Assessment and Debugging of QoE in SDN: Work in Progress. / Reyes, Jose; Lopez, Jorge; Kushik, Natalia et al.
2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019. ed. / Aris Gkoulalas-Divanis; Mirco Marchetti; Dimiter R. Avresky. Institute of Electrical and Electronics Engineers Inc., 2019. 8935029 (2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - On the Assessment and Debugging of QoE in SDN

T2 - 18th IEEE International Symposium on Network Computing and Applications, NCA 2019

AU - Reyes, Jose

AU - Lopez, Jorge

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AU - Zeghlache, Djamal

PY - 2019/9/1

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N2 - 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.

AB - 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.

KW - Debugging/Diagnosis

KW - Machine Learning

KW - Quality of Experience

KW - Software Defined Networking

U2 - 10.1109/NCA.2019.8935029

DO - 10.1109/NCA.2019.8935029

M3 - Conference contribution

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T3 - 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019

BT - 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019

A2 - Gkoulalas-Divanis, Aris

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A2 - Avresky, Dimiter R.

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 26 September 2019 through 28 September 2019

ER -

Reyes J, Lopez J, Kushik N , Zeghlache D. On the Assessment and Debugging of QoE in SDN: Work in Progress. In Gkoulalas-Divanis A, Marchetti M, Avresky DR, editors, 2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8935029. (2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019). doi: 10.1109/NCA.2019.8935029

On the Assessment and Debugging of QoE in SDN: Work in Progress

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