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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2025 by IJCOT Journal | ||
| Volume - 15 Issue - 1 | ||
| Year of Publication : 2025 | ||
| Authors : Amwayi Harrison, Abraham Mutua | ||
| DOI : 10.14445/22492593/IJCOT-V15I1P304 |
How to Cite?
"A Multi-Agent Monitoring System for Computer Networks" International Journal of Computer and Organization Trends vol. 15, no. 1, pp. 33-40, 2024. Crossref, https://doi.org/10.14445/22492593/IJCOT-V15I1P304
Abstract
In today's business landscape, reliable network infrastructure is essential for uninterrupted operations. As networks increase in complexity, effective monitoring systems become crucial to ensure device performance and availability. This study presents a multi-agent-based system for monitoring computer network devices, utilizing autonomous agents to gather data through the Simple Network Management Protocol (SNMP). The proposed solution addresses scalability and network congestion challenges often seen in centralized monitoring systems by leveraging Apache Kafka to distribute and manage monitoring data efficiently while autonomous agents handle data collection, thereby reducing latency and minimizing network load. The research first examines existing multi-agent applications that leverage SNMP agents, identifying their limitations before introducing a novel model that integrates SNMP agents with Apache Kafka to facilitate scalable data ingestion. The system's performance was tested in a simulated environment, and significant enhancements in scalability and efficiency were observed for real-time monitoring. The findings conclude that combining multi-agent systems with Apache Kafka offers a robust framework for efficient, real-time network monitoring, with improved scalability and reduced latency compared to traditional centralized models.
Keywords
Network Monitoring, Multi-Agent Systems, Apache Kafka, Simple Network Management Protocol (SNMP), Scalability.
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