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 …

[HTML][HTML] System log clustering approaches for cyber security applications: A survey

M Landauer, F Skopik, M Wurzenberger, A Rauber - Computers & Security, 2020 - Elsevier
Log files give insight into the state of a computer system and enable the detection of
anomalous events relevant to cyber security. However, automatically analyzing log data is …

Logzip: Extracting hidden structures via iterative clustering for log compression

J Liu, J Zhu, S He, P He, Z Zheng… - 2019 34th IEEE/ACM …, 2019 - ieeexplore.ieee.org
System logs record detailed runtime information of software systems and are used as the
main data source for many tasks around software engineering. As modern software systems …

LogAssist: Assisting log analysis through log summarization

S Locke, H Li, THP Chen, W Shang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Logs contain valuable information about the runtime behaviors of software systems. Thus,
practitioners rely on logs for various tasks such as debugging, system comprehension, and …

Logshrink: Effective log compression by leveraging commonality and variability of log data

X Li, H Zhang, VH Le, P Chen - Proceedings of the 46th IEEE/ACM …, 2024 - dl.acm.org
Log data is a crucial resource for recording system events and states during system
execution. However, as systems grow in scale, log data generation has become increasingly …

Graph-based incident aggregation for large-scale online service systems

Z Chen, J Liu, Y Su, H Zhang, X Wen… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
As online service systems continue to grow in terms of complexity and volume, how service
incidents are managed will significantly impact company revenue and user trust. Due to the …

A study of the performance of general compressors on log files

K Yao, H Li, W Shang, AE Hassan - Empirical Software Engineering, 2020 - Springer
Large-scale software systems and cloud services continue to produce a large amount of log
data. Such log data is usually preserved for a long time (eg, for auditing purposes). General …

Loghub: A large collection of system log datasets for ai-driven log analytics

J Zhu, S He, P He, J Liu, MR Lyu - 2023 IEEE 34th International …, 2023 - ieeexplore.ieee.org
Logs have been widely adopted in software system development and maintenance because
of the rich runtime information they record. In recent years, the increase of software size and …

Improving state-of-the-art compression techniques for log management tools

K Yao, M Sayagh, W Shang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Log data records important runtime information about the running of a software system for
different purposes including performance assurance, capacity planning, and anomaly …

On the feasibility of parser-based log compression in {Large-Scale} cloud systems

J Wei, G Zhang, Y Wang, Z Liu, Z Zhu, J Chen… - … USENIX Conference on …, 2021 - usenix.org
On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems Page 1
This paper is included in the Proceedings of the 19th USENIX Conference on File and …