Informing Science + IT Education Conference 2003 Proceedings


Abstracts

Informing Science + IT Education Conference

Pori, Finland June 24-27, 2003





docs\063Gani.pdf Paper Accepted as a/n Short Paper pages
0437-0443

Towards a Self-Healing Network in Controlling Access to Network Applications

Abdullah Gani and Gordon Manson

University of Sheffield, United Kingdom

University of Sheffield, United Kingdom

A self-healing network is a ‘dream’ for every network designer today. Abstractly it is a network that ca-pable of

maintaining the availability of network services. This would not be impossible to be turned into a reality if the

networks are embedded with intelligence. By having the intelligent capability the network can be self-managed in

response to events that taken place within the network itself through the learning mechanisms. This paper

presents the User Manager Agent System (UMAS) learning performance in controlling a request for network

application session. ANFIS of Matlab v5.3 has been used to simulate the learning process in which it bases on the

training data of network state. The work also had revealed some weaknesses of ANFIS in processing a large volume

of training data sets and substantial amount of time taken for processing.

Keywords: Intelligent Agent, Neuro Fuzzy Logic, and Network Application Management

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ISSN 1535-07-03
Unless otherwise indicated, this paper has undergone blind external review by three or more reviewers.
Types of Papers: A Best Paper, Regular Paper, Short Paper, Informal Paper, Unrefereed Panel Paper