Industry-Academia Research toward Future Network Intelligence:The NG-CDI Prosperity Partnership

Race, Nicholas and Eckley, Idris and Parlikad, Ajith and Rotsos, Charalampos and Wang, Ning and Piechocki, Robert and Stiles, Philip and Parekh, Arjun and Burbridge, Trevor and Willis, Peter and Cassidy, Stephen (2022) Industry-Academia Research toward Future Network Intelligence:The NG-CDI Prosperity Partnership. IEEE Network. ISSN 0890-8044

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Abstract

Ever since the first automation provided by the introduction of the Strowger telephone exchange in the late 19th century, networks have been increas- ingly automated. Fast forward to 2022, and the challenge facing network providers is scaling up this level of automation considering massive increases in complexity, new levels of agility to operate ser- vices, and rising demand from customers within the modern telecommunications ecosystem. This article describes a significant new industry-academia part- nership to address these challenges: Next Gener- ation Converged Digital Infrastructure (NG-CDI) is creating a vision for the building and operation of a future-proof network infrastructure and its autonomic management. In this article, we high- light three exemplar activities within the NG-CDI research program that illustrate the benefits of tak- ing a highly collaborative interdisciplinary approach and show how academia and industry working closely together have delivered a range of direct and positive impacts on business.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Network
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Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1710
Subjects:
ID Code:
167364
Deposited By:
Deposited On:
11 Mar 2022 12:05
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jun 2022 00:43