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

Publication Title

Developments in Applied Artificial Intelligence

ISSN

0302-9743

Divisions

fsktm

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

This document is currently not available here.

Share

COinS