Minimização da Intervenção Humana para Detectar e Solucionar Anomalias Rede de Computadores

• Alexandre Amaral IFSC
• Ana Paula Malheiro IFC

DOI: https://doi.org/10.5753/encompif.2016.9389

Abstract

This paper proposes a system to detect and apply corrective actions when anomalous events occur in the network. Management goals are defined through the metrics and the self-healing property of the autonomic computing is used, empowering the system to perform corrective actions without human intervention. NEMES (Network Metric Specification) a domain-specific language was developed to build the metrics. The system uses IP flows to reduce the volume of data to be processed, allowing its use in large-scale networks. Tests performed in a real environment have shown the effectiveness and potential of the proposed system to assist in the network management.

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