GeckoNet - Self-Healing SDN Framework

GeckoNet addresses the complexities of traditional networks by leveraging SDN for centralized control and streamlined management. Integrating virtualization, monitoring, SDN, and CLI, GeckoNet enhances configuration simplicity, monitoring efficiency, and rapid issue resolution. Key components include a Mininet-based virtual topology, a Prometheus and Grafana-powered monitoring system, and an alert management system with a custom CLI. GeckoNet ensures immediate error detection, resilience through self-healing, and facilitates knowledge transfer among network engineers, making it an effective tool for modern network management.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/roedunet64292.2024.10722172
Citations
3
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
1.05
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article

GeckoNet - Self-Healing SDN Framework

Razvan Victor Rughinis, Dinu Țurcanu, Alexia Băluţă, Ramsi Mihai Soare
3 citations
Advanced Malware Detection Techniques
1.05
article

GeckoNet - Self-Healing SDN Framework

Razvan Victor Rughinis, Dinu Țurcanu, Alexia Băluţă, Ramsi Mihai Soare
article en
3 citations

Abstract

GeckoNet addresses the complexities of traditional networks by leveraging SDN for centralized control and streamlined management. Integrating virtualization, monitoring, SDN, and CLI, GeckoNet enhances configuration simplicity, monitoring efficiency, and rapid issue resolution. Key components include a Mininet-based virtual topology, a Prometheus and Grafana-powered monitoring system, and an alert management system with a custom CLI. GeckoNet ensures immediate error detection, resilience through self-healing, and facilitates knowledge transfer among network engineers, making it an effective tool for modern network management.

University of Science and Technology (YE), Technical University of Moldova (MD), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 23%
Advanced Malware Detection Techniques
1.05
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