Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Chinese University of Hong Kong · Chinese University of Hong Kong, Shenzhen
Abstract
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 complexity leads to the rapid growth of the volume of logs. To handle these large volumes of logs efficiently and effectively, a line of research focuses on developing intelligent and automated log analysis techniques. However, only a few of these techniques have reached successful deployments in industry due to the lack of public log datasets and open benchmarking upon them. To fill this significant gap and facilitate more research on AI-driven log analytics, we have collected and released loghub, a large collection of system log…
Citation impact
- FWCI
- 34.14
- Percentile
- 100%
- References
- 82
Authors
5- JZJieming ZhuCorresponding
Chinese University of Hong Kong, Chinese University of Hong Kong, Shenzhen
- SHShilin He
Chinese University of Hong Kong, Shenzhen, Chinese University of Hong Kong
- PHPinjia He
Chinese University of Hong Kong, Shenzhen
- JLJinyang Liu
Chinese University of Hong Kong
- MRMichael R. Lyu
Chinese University of Hong Kong
Topics & keywords
- Benchmarking
- Computer science
- Analytics
- Software
- Software analytics
- Data science
- Data mining
- Volume (thermodynamics)
- Industry, innovation and infrastructure