Abstract
The management of large data networks, like a national WAN, is without any doubt a complex task. Taking into account the constantly increasing size and complexity of today's TCP/IP based networks, it becomes obvious that there is a demanding need for better than simple monitoring management tools. Expert system technology seems to be a very promising approach for the development of such tools. This paper describes the system architecture of ExperNet, a distributed expert system for the management of the National Computer Network of Ukraine, and the implementation of the tools used for its development. ExperNet is a multiagent system built in DEVICE, an active OODB enhanced with high level rules, that uses CS-Prolog II to implement the communication facilities required. The system employs HNMS+ and Big-Brother, two modified versions of existing network management tools, in order to obtain a complete view of the monitored network.
The work described in this paper is funded by the EU INCO-Copernicus project ExperNet: A Distributed Expert System for the Management of a National Network, No 960114
The order in which the authors appear does not reflect their contribution to the work described in this paper.
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Vlahavas, I. et al. (1998). System architecture of a distributed expert system for the management of a national data network. In: Giunchiglia, F. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 1998. Lecture Notes in Computer Science, vol 1480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057465
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DOI: https://doi.org/10.1007/BFb0057465
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