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Autonomic networks: engineering the self-healing property

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Sterritt, R (2004) Autonomic networks: engineering the self-healing property. Engineering Applications of Artificial Intelligence, 17 (7). pp. 727-739. [Journal article]

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DOI: 10.1016/S0952-1976(04)00111-3

Abstract

As the size and complexity of networks and communications continue to grow, there is a heightened need to develop new techniques capable of achieving a level of service with successful operations upon which users can place even more reliance. Key emerging strategies for meeting this demand is ‘autonomic networks’ and ‘autonomic communications’, concepts similar to autonomic computing while specific to the communications field. This paper considers the ‘self-healing’ aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs.

Item Type:Journal article
Keywords:Keywords: Autonomic networks; Autonomic communications; Problem determination; Root cause analysis; Self-healing; Event correlation; Development framework; Development tools
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:7
Deposited By:Mr Roy Sterritt
Deposited On:08 Dec 2009 14:51
Last Modified:08 Dec 2009 14:51

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