A survey on automated log analysis for reliability engineering

S He, P He, Z Chen, T Yang, Y Su, MR Lyu - ACM computing surveys …, 2021 - dl.acm.org
Logs are semi-structured text generated by logging statements in software source code. In
recent decades, software logs have become imperative in the reliability assurance …

Experience report: Deep learning-based system log analysis for anomaly detection

Z Chen, J Liu, W Gu, Y Su, MR Lyu - arxiv preprint arxiv:2107.05908, 2021 - arxiv.org
Logs have been an imperative resource to ensure the reliability and continuity of many
software systems, especially large-scale distributed systems. They faithfully record runtime …

Semi-supervised log-based anomaly detection via probabilistic label estimation

L Yang, J Chen, Z Wang, W Wang… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
With the growth of software systems, logs have become an important data to aid system
maintenance. Log-based anomaly detection is one of the most important methods for such …

Robust log-based anomaly detection on unstable log data

X Zhang, Y Xu, Q Lin, B Qiao, H Zhang… - Proceedings of the …, 2019 - dl.acm.org
Logs are widely used by large and complex software-intensive systems for troubleshooting.
There have been a lot of studies on log-based anomaly detection. To detect the anomalies …

Tools and benchmarks for automated log parsing

J Zhu, S He, J Liu, P He, Q **e… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
Logs are imperative in the development and maintenance process of many software
systems. They record detailed runtime information that allows developers and support …

Experience report: System log analysis for anomaly detection

S He, J Zhu, P He, MR Lyu - 2016 IEEE 27th international …, 2016 - ieeexplore.ieee.org
Anomaly detection plays an important role in management of modern large-scale distributed
systems. Logs, which record system runtime information, are widely used for anomaly …

Log clustering based problem identification for online service systems

Q Lin, H Zhang, JG Lou, Y Zhang, X Chen - Proceedings of the 38th …, 2016 - dl.acm.org
Logs play an important role in the maintenance of large-scale online service systems. When
an online service fails, engineers need to examine recorded logs to gain insights into the …

An evaluation study on log parsing and its use in log mining

P He, J Zhu, S He, J Li, MR Lyu - 2016 46th annual IEEE/IFIP …, 2016 - ieeexplore.ieee.org
Logs, which record runtime information of modern systems, are widely utilized by developers
(and operators) in system development and maintenance. Due to the ever-increasing size of …

Towards automated log parsing for large-scale log data analysis

P He, J Zhu, S He, J Li, MR Lyu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Logs are widely used in system management for dependability assurance because they are
often the only data available that record detailed system runtime behaviors in production …

Uniparser: A unified log parser for heterogeneous log data

Y Liu, X Zhang, S He, H Zhang, L Li, Y Kang… - Proceedings of the …, 2022 - dl.acm.org
Logs provide first-hand information for engineers to diagnose failures in large-scale online
service systems. Log parsing, which transforms semi-structured raw log messages into …