AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection

Understand

The rapid progress of modern computing systems has led to a growing interest in informative run-time logs.

• Various log-based anomaly detection techniques have been proposed to ensure software reliability.
• However, their implementation in the industry has been limited due to the lack of high-quality public log resources as training datasets.
• While some log datasets are available for anomaly detection, they suffer from limitations in (1) comprehensiveness of log events; (2) scalability over diverse systems; and (3) flexibility of log utility.