Proactive network management using remote monitoring and artificial intelligence techniques

This article describes the effort to join two different approaches for the development of the proactive network management. The first approach was developed in the Laboratory of Network and Management, at Federal University of Santa Catarina, which uses remote monitoring and simulation tools. The second one, was developed in the National Supercomputing Center, which handles the problem with artificial intelligence and SunNet Manager´s agents usage. The new concept of proactive network management aims at identifying the existing troubles in advance of any performance degradation, as well as providing support for future decision-making actions. The goal of this work is to adapt a complete proactive environment which will be used to explore the remote monitors and simulation tools to identify the symptoms of proactive management problems; and specially to recognize the problem using artificial intelligence techniques and to take proactive actions to solve it, configuring a proactive management application for the prevention of problems in computer networks