Research on Zabbix Monitoring System for Large-scale Smart Campus Network from a Distributed Perspective

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Fangming Guo , Caijun Chen , Ke Li

Abstract

As universities advance in their digital transformation, traditional campus network monitoring models are increasingly inadequate for the complex network environments and rising service quality demands. This paper, after thoroughly analyzing the critical challenges and technical requirements of smart campus network monitoring, designs and implements a smart campus network monitoring system using Zabbix, TiDB, and Grafana. The system leverages an advanced distributed architecture, integrating key technologies like time-series databases, intelligent alerting, and visualization to build a comprehensive monitoring framework that spans the access, aggregation, and core layers. This setup enables unified monitoring, analysis, and management of various heterogeneous resources in the campus network, achieving significant improvements in intelligent anomaly diagnosis and performance optimization. Additionally, the system introduces an innovative "Monitoring as a Service" concept, providing various monitoring services to faculty and students, thereby enhancing the interactivity and inclusivity of network services. Through its practical deployment and application in our university, the system has been pivotal in supporting the intelligent upgrade and transformation of the campus network and ensuring high-quality network experiences for faculty and students. This offers a novel approach and implementation path for smart campus network governance.

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