SINMS: A Slow Intelligence Network Manager based on SNMP Protocol

Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spread, however, resulted in increased difficulty in configuring and managing networks. In particular the tasks of configuration management for IP network devices are becoming more and more difficult and the Simple Network Management Protocol is not able to manage very complex scenarios. Over the past years much efforts has been given to improve the lack of Simple Network Management Protocol and a promising approach involves the use of Ontology. Ontology is a very promising technology and can be effectively used in intelligent configuration management scope. This paper introduces a novel approach to the network management based on the use of the Slow Intelligence System methodologies and ontology. Slow Intelligence Systems is a general-purpose systems characterized by being able to improve performance over time through a process involving enumeration, propagation, adaptation, elimination and concentration. A Slow Intelligence System continuously learns, searches for new solutions and propagates and shares its experience with other peers. So the proposed approach aims to develop a system able to acquire, according to an SNMP standard, information from the various hosts that are in the managed networks and apply solutions in order to solve problems. To check the feasibility of this model first experimental results in a possible scenario are showed.