0000000000800772
AUTHOR
A. Pizzitola
Introducing automated reasoning in network management
This paper proposes the adoption of Artificial Intelligence techniques in the field of network management and moni toring. In order to allow automated reasoning on network ing topics, we constructed an accurate ontological model capable of fitting as more as possible networking concepts. The thoroughly representation of the domain knowledge is used by a Logical Reasoner, which is an expert system ca pable of performing management tasks typically executed by human experts. The Logical Reasoner is integrated in a distributed multi-agent architecture for network manage ment, which exploits the dynamic reasoning capabilities of the Situation Calculus formalism to provide a powerful sys tem capa…
Rule based reasoning for network management
This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as a managing entity capable of directing, coordinating, and triggering monitoring and management actions in the proposed architecture. The logical inference system has been devised to enable automated isolation, diagnosis, and to repair network anomalies, thus enhancing the reliability, performance, and security of the network. The measurements of network events are captured by programmable sensors deployed on the network devices and are collected by the network management entity whe…