CONCEPTUAL MODEL OF INTELLIGENT MONITORING SYSTEM FOR COMPUTER NETWORKS

Abstract

The size and complexity of computer networks (CNs) are constantly increasing, which requires the intellectualization of network monitoring. Undoubtedly, intellectualization will increase the effectiveness of monitoring the CNs. To ensure the intellectualization of the CNs monitoring, it is necessary to use machine learning (ML) methods. The use of ML methods enables to create an intelligent monitoring system. This article proposes a conceptual model of a system for CNs intelligent monitoring. The model is based on the analysis of log files using ML methods. The proposed model will make it possible to monitor the CNs in a targeted manner, which can increase the efficiency of network monitoring and management in terms of the use of network resources.