Applying Artificial Intelligence Techniques to the Management of Heterogeneous Networks
Identifieur interne : 00E736 ( Main/Merge ); précédent : 00E735; suivant : 00E737Applying Artificial Intelligence Techniques to the Management of Heterogeneous Networks
Auteurs : Dominique Gaïti [France] ; Ilham Rahali [France]Source :
Abstract
Abstract: In this paper, we present the main components of an intelligent system which can help users to manage a communication network. We also present our motivation as to why we chose a multi-expert system design.. This system is an administration expert capable of managing several networks of different manufacturers. It defines an administration model of distributed heterogeneous systems, which is based on the translation of different manufacturers management systems into a single reference system. More specifically, it consists of several expert systems that communicate with each other in order to solve network administration problems (asin the case of error diagnosis). The knowledge needed by the management system is organized into a hierarchy, so that it can be modelled by a layered structure. Thus, the knowledge base can be built step by step.
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DOI: 10.1007/978-1-4613-1471-4_16
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<front><div type="abstract" xml:lang="en">Abstract: In this paper, we present the main components of an intelligent system which can help users to manage a communication network. We also present our motivation as to why we chose a multi-expert system design.. This system is an administration expert capable of managing several networks of different manufacturers. It defines an administration model of distributed heterogeneous systems, which is based on the translation of different manufacturers management systems into a single reference system. More specifically, it consists of several expert systems that communicate with each other in order to solve network administration problems (asin the case of error diagnosis). The knowledge needed by the management system is organized into a hierarchy, so that it can be modelled by a layered structure. Thus, the knowledge base can be built step by step.</div>
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