Rede neural artificial para detecção de falhas em redes locais

Abstract

The growth of computer networks caused by the evolution of hardware devices and software solutions has made media such as email, chat room, IP telephony, and others essential for allowing a greater exchange of information among all. So companies began to provide a range of services, products and resources for both internal and external processes and consequently the need for an effective network management arises to keep a whole infrastructure available and with a high level of quality for those who access them. A series of research comes to power management is becoming more effective in detecting faults in equipment comprising a network structure. An effective and well parameterized system is able to predict and solve a problem and submit bug reports to who makes the network management. Therefore, this paper presents a case study to enable the implementation of an ANN - artificial neural network with the aim of identifying errors before and presents the impact of such adoption in an enterprise environment.