It infrastructure anomaly detection and failure handling: A systematic literature review focusing on datasets, log preprocessing, machine & deep learning approaches …

DA Bhanage, AV Pawar, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …

Landscape of automated log analysis: A systematic literature review and mapping study

Ł Korzeniowski, K Goczyła - IEEE Access, 2022 - ieeexplore.ieee.org
Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …

System log parsing: A survey

T Zhang, H Qiu, G Castellano, M Rifai… - … on Knowledge and …, 2023 - ieeexplore.ieee.org
Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …

Logencoder: Log-based contrastive representation learning for anomaly detection

J Qi, Z Luan, S Huang, C Fung, H Yang… - … on Network and …, 2023 - ieeexplore.ieee.org
In recent years, cloud computing centers have grown rapidly in size. Analyzing system logs
is an important way for the quality of service monitoring. However, systems produce massive …

PVE: A log parsing method based on VAE using embedding vectors

W Yuan, S Ying, X Duan, H Cheng, Y Zhao… - Information Processing & …, 2023 - Elsevier
Log parsing is a critical task that converts unstructured raw logs into structured data for
downstream tasks. Existing methods often rely on manual string-matching rules to extract …

Failure detection using semantic analysis and attention-based classifier model for IT Infrastructure log data

DA Bhanage, AV Pawar, K Kotecha, A Abraham - IEEE Access, 2023 - ieeexplore.ieee.org
The improvement in the reliability, availability, and maintenance of the IT infrastructure
components is paramount to ensure uninterrupted services in large-scale IT Infrastructures …

Automatic parsing and utilization of system log features in log analysis: A survey

J Ma, Y Liu, H Wan, G Sun - Applied Sciences, 2023 - mdpi.com
System logs are almost the only data that records system operation information, so they play
an important role in anomaly analysis, intrusion detection, and situational awareness …

Loggpt: Exploring chatgpt for log-based anomaly detection

J Qi, S Huang, Z Luan, S Yang, C Fung… - … Conference on High …, 2023 - ieeexplore.ieee.org
The increasing volume of log data produced by software-intensive systems makes it
impractical to analyze them manually. Many deep learning-based methods have been …

Prefix-graph: A versatile log parsing approach merging prefix tree with probabilistic graph

G Chu, J Wang, Q Qi, H Sun, S Tao… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
Logs play an important part in analyzing system behavior and diagnosing system failures.
As the basic step of log analysis, log parsing converts raw log messages into structured log …

Explainable log parsing and online interval granular classification from streams of words

L Decker, D Leite, D Bonacorsi - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
We introduce a method called evolving Log Parsing (eLP) to extract information granules
and an interval rule-based classification model from streams of words in unstructured log …