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
Additional Information:
©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1708
Subjects:
?? hardware and architecturesoftwarecomputer networks and communicationsinformation systems ??
ID Code:
167364
Deposited By:
Deposited On:
11 Mar 2022 12:05
Refereed?:
Yes
Published?:
Published
Last Modified:
28 Nov 2024 01:36