TY - GEN
T1 - Real-Time Network Infrastructure Monitoring
T2 - 9th Ecuador Technical Chapters Meeting, ETCM 2025
AU - Pillo-Guanoluisa, Darwin
AU - Herrera, Leandro Bermúdez
AU - Alba, Alexandra Juma
AU - Báez, Diego Salgado
AU - Buestán, Victoria Fray
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Real-time visibility of core, distribution, and access switches within the headquarters network infrastructure is vital for ensuring operational continuity in the energy sector. This study presents the deployment of a centralized monitoring system using Zabbix at EMELNORTE S.A. main headquarters, guided by the PPDIOO methodology and the FCAPS framework. The solution continuously monitored a set of ten switches, encompassing all hierarchical network layers, under uninterrupted operational conditions. Validation followed a before-and-after approach. After implementation, the average incident response time dropped from 10 to 1 minute due to automated alerting via email and Telegram. The system detected core switch traffic peaks of 1.5 Gbps and periods of interface congestion above 90 percent utilization for over 45 minutes. Sustained RAM utilization of 38.5 percent demonstrated operational stability. These results confirm that the proposed approach enables early anomaly detection and supports proactive, data-driven infrastructure management, enhancing both the reliability and quality of the electrical service at EMELNORTE headquarters.
AB - Real-time visibility of core, distribution, and access switches within the headquarters network infrastructure is vital for ensuring operational continuity in the energy sector. This study presents the deployment of a centralized monitoring system using Zabbix at EMELNORTE S.A. main headquarters, guided by the PPDIOO methodology and the FCAPS framework. The solution continuously monitored a set of ten switches, encompassing all hierarchical network layers, under uninterrupted operational conditions. Validation followed a before-and-after approach. After implementation, the average incident response time dropped from 10 to 1 minute due to automated alerting via email and Telegram. The system detected core switch traffic peaks of 1.5 Gbps and periods of interface congestion above 90 percent utilization for over 45 minutes. Sustained RAM utilization of 38.5 percent demonstrated operational stability. These results confirm that the proposed approach enables early anomaly detection and supports proactive, data-driven infrastructure management, enhancing both the reliability and quality of the electrical service at EMELNORTE headquarters.
KW - Network Monitoring
KW - Power supplies
KW - Telegram
KW - Zabbix system
UR - https://www.scopus.com/pages/publications/105032501242
U2 - 10.1109/ETCM67548.2025.11304414
DO - 10.1109/ETCM67548.2025.11304414
M3 - Contribución a la conferencia
AN - SCOPUS:105032501242
T3 - ETCM 2025 - 9th Ecuador Technical Chapters Meeting
BT - ETCM 2025 - 9th Ecuador Technical Chapters Meeting
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 October 2025 through 24 October 2025
ER -