Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning

Talha Ahmed Khan; Asif Mehmood; Javier Jose Diaz Ravera; Afaq Muhammad; Khizar Abbas; Wang Cheol Song

doi:10.1109/NOMS47738.2020.9110408

Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning

Talha Ahmed Khan
, Asif Mehmood
, Javier Jose Diaz Ravera
, Afaq Muhammad
, Khizar Abbas
, Wang Cheol Song

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

38 Scopus citations

Abstract

5G networks are aimed at provisioning of a wide range of sophisticated services with uninterrupted user experience. In addition, it is very challenging to manage all the services due the variety in the service requirement and a very large number of users causing dynamic changes in traffic streamed over the network. Currently, the networks are managed manually and requires experts to control the behavior of network. Due to increase in network domain it is an esteem requirement to manage and control network autonomously. In this paper we have introduced and Intent-Based networking approach which on one side abstracts and automates the network configuration also it assures the network resource state stability by using machine learning. We have used an IBN abstraction layer and M-CORD as an next generation testbed for the implementation of this work.

Original language	English
Title of host publication	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020
Subtitle of host publication	Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728149738
DOIs	https://doi.org/10.1109/NOMS47738.2020.9110408
State	Published - Apr 2020
Externally published	Yes
Event	2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020 - Budapest, Hungary Duration: 20 Apr 2020 → 24 Apr 2020

Publication series

Name	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020

Conference

Conference	2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020
Country/Territory	Hungary
City	Budapest
Period	20/04/20 → 24/04/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

5G
IBN
M-CORD
ML
OAI
ONOS
OpenStack

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing
Information Systems and Management
Health Informatics
Artificial Intelligence

Access to Document

10.1109/NOMS47738.2020.9110408

Cite this

Khan, T. A., Mehmood, A., Ravera, J. J. D., Muhammad, A., Abbas, K., & Song, W. C. (2020). Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning. In Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020 Article 9110408 (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NOMS47738.2020.9110408

Khan, Talha Ahmed ; Mehmood, Asif ; Ravera, Javier Jose Diaz et al. / Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning. Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020).

@inproceedings{ea6b96aba63245ee90772444232e6a95,

title = "Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning",

abstract = "5G networks are aimed at provisioning of a wide range of sophisticated services with uninterrupted user experience. In addition, it is very challenging to manage all the services due the variety in the service requirement and a very large number of users causing dynamic changes in traffic streamed over the network. Currently, the networks are managed manually and requires experts to control the behavior of network. Due to increase in network domain it is an esteem requirement to manage and control network autonomously. In this paper we have introduced and Intent-Based networking approach which on one side abstracts and automates the network configuration also it assures the network resource state stability by using machine learning. We have used an IBN abstraction layer and M-CORD as an next generation testbed for the implementation of this work.",

keywords = "5G, IBN, M-CORD, ML, OAI, ONOS, OpenStack",

author = "Khan, \{Talha Ahmed\} and Asif Mehmood and Ravera, \{Javier Jose Diaz\} and Afaq Muhammad and Khizar Abbas and Song, \{Wang Cheol\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020 ; Conference date: 20-04-2020 Through 24-04-2020",

year = "2020",

month = apr,

doi = "10.1109/NOMS47738.2020.9110408",

language = "English",

series = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020",

address = "United States",

}

Khan, TA, Mehmood, A, Ravera, JJD, Muhammad, A, Abbas, K & Song, WC 2020, Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning. in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020., 9110408, Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020, Budapest, Hungary, 20/04/20. https://doi.org/10.1109/NOMS47738.2020.9110408

Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning. / Khan, Talha Ahmed; Mehmood, Asif; Ravera, Javier Jose Diaz et al.
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9110408 (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020).

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

TY - GEN

T1 - Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning

AU - Khan, Talha Ahmed

AU - Mehmood, Asif

AU - Ravera, Javier Jose Diaz

AU - Muhammad, Afaq

AU - Abbas, Khizar

AU - Song, Wang Cheol

PY - 2020/4

Y1 - 2020/4

N2 - 5G networks are aimed at provisioning of a wide range of sophisticated services with uninterrupted user experience. In addition, it is very challenging to manage all the services due the variety in the service requirement and a very large number of users causing dynamic changes in traffic streamed over the network. Currently, the networks are managed manually and requires experts to control the behavior of network. Due to increase in network domain it is an esteem requirement to manage and control network autonomously. In this paper we have introduced and Intent-Based networking approach which on one side abstracts and automates the network configuration also it assures the network resource state stability by using machine learning. We have used an IBN abstraction layer and M-CORD as an next generation testbed for the implementation of this work.

AB - 5G networks are aimed at provisioning of a wide range of sophisticated services with uninterrupted user experience. In addition, it is very challenging to manage all the services due the variety in the service requirement and a very large number of users causing dynamic changes in traffic streamed over the network. Currently, the networks are managed manually and requires experts to control the behavior of network. Due to increase in network domain it is an esteem requirement to manage and control network autonomously. In this paper we have introduced and Intent-Based networking approach which on one side abstracts and automates the network configuration also it assures the network resource state stability by using machine learning. We have used an IBN abstraction layer and M-CORD as an next generation testbed for the implementation of this work.

KW - 5G

KW - IBN

KW - M-CORD

KW - ML

KW - OAI

KW - ONOS

KW - OpenStack

UR - https://www.scopus.com/pages/publications/85086760570

U2 - 10.1109/NOMS47738.2020.9110408

DO - 10.1109/NOMS47738.2020.9110408

M3 - Conference contribution

AN - SCOPUS:85086760570

T3 - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020

BT - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020

Y2 - 20 April 2020 through 24 April 2020

ER -

Khan TA, Mehmood A, Ravera JJD, Muhammad A, Abbas K, Song WC. Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning. In Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9110408. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020). doi: 10.1109/NOMS47738.2020.9110408

Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this