DocumentCode
2285943
Title
A model-based approach to adding autonomic capabilities to network fault management system
Author
Liu, Yan ; Zhang, Jing ; Jiang, Michael ; Raymer, David ; Strassner, John
Author_Institution
Motorola Autonomics Lab., Motorola Inc., Schaumburg, IL
fYear
2008
fDate
7-11 April 2008
Firstpage
859
Lastpage
862
Abstract
Adding autonomic capabilities to network management systems provides great promise in delivering high QoS while lowering operation and maintenance cost. In this paper, we present a model-based approach to adding autonomic capabilities to a fault management system for cellular networks. We propose the use of modeling techniques to specify software failures and their dispositions at the model level for the target system. This facilitates the deployment of a control loop for adding autonomic capabilities into the system architecture, which include self-monitoring, self-healing, and self-adjusting. Our case study on the intelligent network fault management system illustrates the proposed approach by adding and deploying these autonomic capabilities derived from self-model specifications, to mitigate the risk of specified failures and maintain the level of healthiness of the system, dynamically and effectively.
Keywords
cellular radio; fault diagnosis; quality of service; telecommunication network management; telecommunication network reliability; QoS; autonomic capabilities; fault management system; intelligent network fault management; maintenance cost; model-based approach; network fault management system; network management systems; self-model specifications; software failures; Computer architecture; Control systems; Costs; Intelligent networks; Land mobile radio cellular systems; Maintenance; Real time systems; Risk management; Software systems; Telecommunication network management;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
Conference_Location
Salvador, Bahia
ISSN
1542-1201
Print_ISBN
978-1-4244-2065-0
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2008.4575232
Filename
4575232
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