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Decentralized Network Management Using Distributed Artificial Intelligence

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Abstract

Centralized approaches to Network Management have demonstrated a clear inadequacy for efficient management of large and heterogeneous computer networks. Considerable research is being carried out on decentralized approaches for network management. This paper presents the work on a practical application of Distributed Artificial Intelligence for computer network management. The objective is to implement a software platform using only Intelligent Autonomous Agents, integrated with the SNMP environment.

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Author information

Authors and Affiliations

  1. Network and Management Laboratory, Post-Graduate Program in Computer Science, Technological Center, Federal University of Santa Catarina, P.O. Box 476, 88040-970, Florianopolis, SC, Brazil

    Fernando Luiz Koch

  2. Network and Management Laboratory, Federal University of Santa Catarina, P.O. Box 476, 88040-970, Florianopolis, SC, Brazil

    Carlos Becker Westphall

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  1. Fernando Luiz Koch
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  2. Carlos Becker Westphall
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Correspondence to Fernando Luiz Koch.

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Koch, F.L., Westphall, C.B. Decentralized Network Management Using Distributed Artificial Intelligence. Journal of Network and Systems Management 9, 375–388 (2001). https://doi.org/10.1023/A:1012976206591

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  • DOI: https://doi.org/10.1023/A:1012976206591

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