UMAS learning requirement for controlling network resources
Document Type
Article
Publication Date
1-1-2003
Abstract
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.
Keywords
Intelligent Agent, Knowledge Engineering, Neuro Fuzzy Logic
Divisions
fsktm
Publication Title
Developments in Applied Artificial Intelligence
Volume
2718
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