A Model for Scalable and Autonomic Network Management

Publication Type:
Conference Proceeding
Seventh Annual International Working Conference on Active and Programmable Networks, 2009, pp. 1 - 6
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2005003069OK.pdf294.97 kB
Adobe PDF
Current telecommunication network management systems rely extensively on human intervention. They are also prone to fundamental changes as the managed network evolves. These two attributes, combined with the growing complexity of networks and services, make the cost of network management very high. In recent years, we have witnessed the emergence of artificial intelligence applications. Some are aimed at the creation of autonomic network management systems. This paper offers a novel approach to the design of a network management system that incorporates intelligent agents. As a benchmark to this model, we use two approaches most widely in use in network management systems today. The focus of this paper is on synchronization issues, service discovery and policy enforcement.
Please use this identifier to cite or link to this item: