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A Model-Driven and Business Approach to Autonomic Network Management

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A Model-Driven and Business Approach to Autonomic Network Management. / Bezahaf, Mehdi; Cassidy, Stephen; Hutchison, David et al.
In: Journal of ICT Standardization, Vol. 9, No. 2, 08.06.2021, p. 229-256.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Bezahaf M, Cassidy S, Hutchison D, King D, Race N, Rotsos C. A Model-Driven and Business Approach to Autonomic Network Management. Journal of ICT Standardization. 2021 Jun 8;9(2):229-256. doi: 10.13052/jicts2245-800X.928

Author

Bezahaf, Mehdi ; Cassidy, Stephen ; Hutchison, David et al. / A Model-Driven and Business Approach to Autonomic Network Management. In: Journal of ICT Standardization. 2021 ; Vol. 9, No. 2. pp. 229-256.

Bibtex

@article{183d37eb3d144c759bc2570af0dfc1e0,
title = "A Model-Driven and Business Approach to Autonomic Network Management",
abstract = "As corporate networks continue to expand, the technologies that underpin these enterprises must be capable of meeting the operational goals of the operators that own and manage them. Automation has enabled the impressive scaling of networks from the days of Strowger. The challenge now is not only to keep pace with the continuing huge expansion of capacity but at the same time to manage a huge increase in complexity – driven by the range of customer solutions and technologies.Recent advances in automation, programmable network interfaces, and model-driven networking will provide the possibility of closed-loop, self-optimizing, and self-healing networks. Collectively these support the goals of a truly automated network, commonly understood as “autonomic networking” even though this is a prospect yet to be achieved.This paper outlines the progress made towards autonomic networking and the framework and procedures developed during the UK Next Generation Converged Digital Infrastructure (NG-CDI) project. It outlines the operator-driven requirements and capabilities that have been identified, and proposes an autonomic management framework, and summarizes current art and the challenges that remain.",
keywords = "Autonomic network management, intent-based networking",
author = "Mehdi Bezahaf and Stephen Cassidy and David Hutchison and Daniel King and Nicholas Race and Charalampos Rotsos",
year = "2021",
month = jun,
day = "8",
doi = "10.13052/jicts2245-800X.928",
language = "English",
volume = "9",
pages = "229--256",
journal = "Journal of ICT Standardization",
issn = "2245-800X",
publisher = "River Publishers",
number = "2",

}

RIS

TY - JOUR

T1 - A Model-Driven and Business Approach to Autonomic Network Management

AU - Bezahaf, Mehdi

AU - Cassidy, Stephen

AU - Hutchison, David

AU - King, Daniel

AU - Race, Nicholas

AU - Rotsos, Charalampos

PY - 2021/6/8

Y1 - 2021/6/8

N2 - As corporate networks continue to expand, the technologies that underpin these enterprises must be capable of meeting the operational goals of the operators that own and manage them. Automation has enabled the impressive scaling of networks from the days of Strowger. The challenge now is not only to keep pace with the continuing huge expansion of capacity but at the same time to manage a huge increase in complexity – driven by the range of customer solutions and technologies.Recent advances in automation, programmable network interfaces, and model-driven networking will provide the possibility of closed-loop, self-optimizing, and self-healing networks. Collectively these support the goals of a truly automated network, commonly understood as “autonomic networking” even though this is a prospect yet to be achieved.This paper outlines the progress made towards autonomic networking and the framework and procedures developed during the UK Next Generation Converged Digital Infrastructure (NG-CDI) project. It outlines the operator-driven requirements and capabilities that have been identified, and proposes an autonomic management framework, and summarizes current art and the challenges that remain.

AB - As corporate networks continue to expand, the technologies that underpin these enterprises must be capable of meeting the operational goals of the operators that own and manage them. Automation has enabled the impressive scaling of networks from the days of Strowger. The challenge now is not only to keep pace with the continuing huge expansion of capacity but at the same time to manage a huge increase in complexity – driven by the range of customer solutions and technologies.Recent advances in automation, programmable network interfaces, and model-driven networking will provide the possibility of closed-loop, self-optimizing, and self-healing networks. Collectively these support the goals of a truly automated network, commonly understood as “autonomic networking” even though this is a prospect yet to be achieved.This paper outlines the progress made towards autonomic networking and the framework and procedures developed during the UK Next Generation Converged Digital Infrastructure (NG-CDI) project. It outlines the operator-driven requirements and capabilities that have been identified, and proposes an autonomic management framework, and summarizes current art and the challenges that remain.

KW - Autonomic network management

KW - intent-based networking

U2 - 10.13052/jicts2245-800X.928

DO - 10.13052/jicts2245-800X.928

M3 - Journal article

VL - 9

SP - 229

EP - 256

JO - Journal of ICT Standardization

JF - Journal of ICT Standardization

SN - 2245-800X

IS - 2

ER -