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Effectiveness of Autonomous Network Monitoring Based on Intelligent-Agent-Mediated Status Information.

Authors :
Carbonell, Jaime G.
Siekmann, Jörg
Okuno, Hiroshi G.
Ali, Moonis
Konno, Susumu
Abar, Sameer
Iwaya, Yukio
Kinoshita, Tetsuo
Source :
New Trends in Applied Artificial Intelligence; 2007, p1078-1087, 10p
Publication Year :
2007

Abstract

The growing complexity of communication networks and their associated information overhead have made network management considerably difficult. This paper presents a novel Network Management Scheme based on the novel concept of Active Information Resources (AIRs). Many types of information are distributed in the complex network, and they are changed dynamically. Under the AIR scheme, each piece of information in a network is activated as an intelligent agent: an I-AIR. An I-AIR has knowledge and functionality related to its information. The I-AIRs autonomously detect run-time operational obstacles occurring in the network system and specify the failures' causes to the network administrator with their cooperation. Thereby, some network management tasks are supported. The proposed prototype system (AIR-NMS) was implemented. Experimental results indicate that it markedly reduces the network administrator workload, compared to conventional network management methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540733225
Database :
Supplemental Index
Journal :
New Trends in Applied Artificial Intelligence
Publication Type :
Book
Accession number :
33095108
Full Text :
https://doi.org/10.1007/978-3-540-73325-6_108