Monitoring Network through SNMP-based System

Abstract

SNMP-based system for monitoring network is equipped with network management, monitoring system and statistic analysis of the network in it. It not only contains the function like network information capture that normal network devices have, but also has the ability to extend such applications as CPU usage rate, traffic flow information of interfaces and memory usage rate through plug-in mechanism. Simplifying the basic network management tasks by centering on auto-topology mechanism and making a tradeoff between usability and extensibility, the auto-topology control which is implemented and designed independently could support almost networking devices with better flexibility. Completely supporting to capture TrapV1, TrapV2 and partial TrapV3 (limited by protocol) with embedded database to facilitate backend storage, the software has become a green-software except depending on .NET Framework 4.

Performance Evaluation of Graph Neural Network-Based RouteNet Model with Attention Mechanism

“…Automated discovery tools such as SNMP (Simple Network Management Protocol) and LLDP (Link Layer Discovery Protocol) are pivotal in facilitating real-time and continuous topology discovery by dynamically detecting network devices and tracking topology changes. These technologies simplify the topology discovery process in dynamic environments by allowing for automated polling and retrieval of network information [22]. Integrating these discovery tools with Network Management Systems (NMS) further enhances the capability to efficiently manage large-scale and dynamic topologies by providing a centralized platform for network topology visualization, change tracking, and alert management [23].…”