UMAS Learning Requirement for Controlling Network Resources

- This paper presents an intelligent User Manager Agent System (UMAS) in which it has a capability of making a management decision for balancing the network load with the users’ requests for accessing network resources. A conventional users’ request for accessing network resources depends on 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. Key words: Intelligent Agent, Knowledge Engineering, Neuro Fuzzy Logic

• Type: Conference
• Year: 2003
• Where: IEAAIE
• Authors: Abdullah Gani, Nasser Abouzakhar, Gordon A. Manson
• Keywords: IEAAIE 2003, Network Resources, Network Services, Neuro Fuzzy Logic