Інтелектуальний підхід до автообнаруження вузлів комп’ютерної мережі та зменшення часу адміністрування систем моніторингу

Abstract

The paper considers the problem of scalability of computer network monitoring systems in the context of an increasing number of network services and infrastructure nodes. A method of intelligent auto-discovery of network nodes for monitoring systems is proposed, which is based on automatic detection, classification and application of monitoring configurations. A model for optimizing the administration time of monitoring systems by automating configuration processes is also developed. The proposed approach allows reducing the administrator's labor costs and increasing the efficiency of network infrastructure management.