Towards autonomic management of communications networks

Jennings, Brendan and van der Meer, Sven and Balasubramaniam, Sasitharan and Botvich, Dmitri and Foghlú, Mícheál Ó and Donnelly, William and Strassner, John (2007) Towards autonomic management of communications networks. IEEE Communications Magazine, 45 (10). pp. 112-121. ISSN 0163-6804

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Abstract

As communications networks become increasingly dynamic, heterogeneous, less reliable, and larger in scale, it becomes difficult, if not impossible, to effectively manage these networks using traditional approaches that rely on human monitoring and intervention to ensure they operate within desired bounds. Researchers and practitioners are pursuing the vision of autonomic network management, which we view as the capability of network entities to self-govern their behavior within the constraints of business goals that the network as a whole seeks to achieve. However, applying autonomic principles to network management is challenging for a number of reasons, including: • A means is required to enable business rules to determine the set of resources and/or services to be provided. • Contextual changes in the network must be sensed and interpreted, because new management policies may be required when context changes. • As context changes, it may be necessary to adapt the management control loops that are used to ensure that system functionality adapts to meet changing user requirements, business goals, and environmental conditions. • A means is required to verify modeled data and to add new data dynamically so that the system can learn and reason about itself and its environment. This article provides an introduction to the FOCALE autonomic network management architecture, which is designed to address these challenges.

Item Type:	Article
Additional Information:	Funding Information: We wish to acknowledge the valuable insights provided by Nazim Agoulmine in the development of FOCALE and the work on prototype design and implementation performed by Keara Barrett, Alan Davy, Steven Davy, and Elyes Lehtihet. This work received support from Science Foundation Ireland under the Autonomic Management of Communications Networks and Services award (grant no. 04/IN3/I404C).
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1706
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Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:05
Last Modified:	23 Jun 2023 19:40
URI:	http://repository-testing.wit.ie/id/eprint/3949

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