QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas

Juan Chafla Altamirano; Mohamd Amine Slimane; Hassan Hassan; Khalil Drira

doi:10.23919/PEMWN56085.2022.9963841

QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas

Juan Chafla Altamirano
, Mohamd Amine Slimane
, Hassan Hassan
, Khalil Drira

Faculty of Engineering

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

5 Scopus citations

Abstract

Solving the problem of connectivity in remote areas is vital for providing important services (e.g., telemedicine, virtual education, etc.) to communities of these regions. However, managing these communication networks is complex and requires permanent human intervention in such inaccessible and highly variable environments. We propose a network self-management architecture based on SDN and DRL that self-adapts to operational conditions to meet the QoS demands of network services. We use a case study of QoS-aware routing optimization in a rural scenario to test our architecture.

Original language	English
Title of host publication	2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9783903176508
DOIs	https://doi.org/10.23919/PEMWN56085.2022.9963841
State	Published - 2022
Event	11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022 - Rome, Italy Duration: 8 Nov 2022 → 10 Nov 2022

Publication series

Name	2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022

Conference

Conference	11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022
Country/Territory	Italy
City	Rome
Period	8/11/22 → 10/11/22

Bibliographical note

Publisher Copyright:
© 2022 IFIP.

Funding

ACKNOWLEDGMENT The authors thank the FSPI - Doctoral Schools Project of the French Embassy in Ecuador, financed by the Ministry of Europe and Foreign Affairs.

Keywords

Deep Reinforcement Learning
QoS
Routing Optimization
SDN
self-management

Access to Document

10.23919/PEMWN56085.2022.9963841

Cite this

Altamirano, J. C., Slimane, M. A., Hassan, H., & Drira, K. (2022). QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas. In 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022 (2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/PEMWN56085.2022.9963841

Altamirano, Juan Chafla ; Slimane, Mohamd Amine ; Hassan, Hassan et al. / QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas. 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022).

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abstract = "Solving the problem of connectivity in remote areas is vital for providing important services (e.g., telemedicine, virtual education, etc.) to communities of these regions. However, managing these communication networks is complex and requires permanent human intervention in such inaccessible and highly variable environments. We propose a network self-management architecture based on SDN and DRL that self-adapts to operational conditions to meet the QoS demands of network services. We use a case study of QoS-aware routing optimization in a rural scenario to test our architecture.",

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Altamirano, JC, Slimane, MA, Hassan, H & Drira, K 2022, QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas. in 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022. 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022, Institute of Electrical and Electronics Engineers Inc., 11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022, Rome, Italy, 8/11/22. https://doi.org/10.23919/PEMWN56085.2022.9963841

QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas. / Altamirano, Juan Chafla; Slimane, Mohamd Amine; Hassan, Hassan et al.
2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022).

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

TY - GEN

T1 - QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas

AU - Altamirano, Juan Chafla

AU - Slimane, Mohamd Amine

AU - Hassan, Hassan

AU - Drira, Khalil

PY - 2022

Y1 - 2022

N2 - Solving the problem of connectivity in remote areas is vital for providing important services (e.g., telemedicine, virtual education, etc.) to communities of these regions. However, managing these communication networks is complex and requires permanent human intervention in such inaccessible and highly variable environments. We propose a network self-management architecture based on SDN and DRL that self-adapts to operational conditions to meet the QoS demands of network services. We use a case study of QoS-aware routing optimization in a rural scenario to test our architecture.

AB - Solving the problem of connectivity in remote areas is vital for providing important services (e.g., telemedicine, virtual education, etc.) to communities of these regions. However, managing these communication networks is complex and requires permanent human intervention in such inaccessible and highly variable environments. We propose a network self-management architecture based on SDN and DRL that self-adapts to operational conditions to meet the QoS demands of network services. We use a case study of QoS-aware routing optimization in a rural scenario to test our architecture.

KW - Deep Reinforcement Learning

KW - QoS

KW - Routing Optimization

KW - SDN

KW - self-management

UR - https://www.scopus.com/pages/publications/85144184711

U2 - 10.23919/PEMWN56085.2022.9963841

DO - 10.23919/PEMWN56085.2022.9963841

M3 - Conference contribution

AN - SCOPUS:85144184711

T3 - 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022

BT - 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022

Y2 - 8 November 2022 through 10 November 2022

ER -

Altamirano JC, Slimane MA, Hassan H, Drira K. QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas. In 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022). doi: 10.23919/PEMWN56085.2022.9963841

QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

A MACHINE LEARNING APPROACH FOR ARCHITECTING QOS-ENABLED NETWORK SERVICES FOR RURAL ENVIRONMENTS

Cite this

QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

A MACHINE LEARNING APPROACH FOR ARCHITECTING QOS-ENABLED NETWORK SERVICES FOR RURAL ENVIRONMENTS

Cite this