UMAS learning requirement for controlling network resources

Gani, Abdullah and Abouzakhar, N. and Manson, G. (2003) UMAS learning requirement for controlling network resources. Developments in Applied Artificial Intelligence, 2718. pp. 487-494. ISSN 0302-9743,

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This paper presents an intelligent User Manager Agent System (UMAS) which has capability of making management decisions for balancing the network load with the users' requests for accessing network resources. A conventional users' request for accessing network resources depends on the rigid rules setting and it can affect the overall performance of network services. UMAS provides additional measure in controlling the network services availability and responsiveness. In providing a different level of services to users, UMAS is required to perform an appropriate learning activity that can furnish an input for a decision of time allocation for a single session. This paper demonstrates the use of Neuro Fuzzy Logic for performing the learning that will be integrated into the UMAS.

Item Type: Article
Additional Information: Gani, A Abouzakhar, N Manson, G 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems Jun 23-26, 2003 Loughborough, england
Uncontrolled Keywords: Intelligent Agent, Knowledge Engineering, Neuro Fuzzy Logic
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms Maisarah Mohd Muksin
Date Deposited: 16 Jan 2013 01:49
Last Modified: 11 Oct 2018 09:26

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