GN5-2 WP6 Incubator Project Closure Report: LogsLLM: Automated Log Analysis and Management based on Large Language Models (LLMs)

LogsLLM delivered an explainable, LLM-based log-intelligence layer for nmaas operations, with two key achievements: a standardisation pipeline that normalises heterogeneous logs (Icinga, NetBox, Uptime Kuma, firewall logs) into a unified schema, and an analysis component that correlates alerts across systems to produce root-cause-oriented summaries. The solution was validated in four realistic operational scenarios using multiple LLMs (ChatGPT-4.1 mini, Llama 3.1 8B, DeepSeek-R1 14B), yielding accurate and consistent incident summaries suitable for NOC workflows, and supporting faster triage and reduced alert fatigue.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20275876
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

GN5-2 WP6 Incubator Project Closure Report: LogsLLM: Automated Log Analysis and Management based on Large Language Models (LLMs)

Michał Zimniewicz, Dimitris Pantazatos, Vasilis Maglaris, Mary Grammatikou et al.
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

GN5-2 WP6 Incubator Project Closure Report: LogsLLM: Automated Log Analysis and Management based on Large Language Models (LLMs)

Michał Zimniewicz, Dimitris Pantazatos, Vasilis Maglaris, Mary Grammatikou, Panos Louridas, Nikos Bazotis, George Leonidou
article en

Abstract

LogsLLM delivered an explainable, LLM-based log-intelligence layer for nmaas operations, with two key achievements: a standardisation pipeline that normalises heterogeneous logs (Icinga, NetBox, Uptime Kuma, firewall logs) into a unified schema, and an analysis component that correlates alerts across systems to produce root-cause-oriented summaries. The solution was validated in four realistic operational scenarios using multiple LLMs (ChatGPT-4.1 mini, Llama 3.1 8B, DeepSeek-R1 14B), yielding accurate and consistent incident summaries suitable for NOC workflows, and supporting faster triage and reduced alert fatigue.

Zenodo (CERN European Organization for Nuclear Research)
National Technical University of Athens (GR), Cybernet Systems Corporation (Canada) (CA), National Infrastructures for Research and Technology - GRNET S.A (GR)
Openalex Percentile: Top 4%
Software System Performance and Reliability
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