Automatic log file analysis enables early detection of relevant incidents such as system
failures. In particular, self-learning anomaly detection techniques capture patterns in log …

Most existing large distributed systems have poor observability and cannot use the full
potential of machine learning-based behavior analysis. The system logs, which contain the …

For large-scale software-intensive systems, high availability and reliability are critical. Given
that these systems offer numerous services to users, even a minor issue with them could …

日志记载着系统运行时的重要信息, 通过日志异常检测可以快速准确地找出系统故障的原因.
然而, 日志序列存在数据不稳定和数据之间相互依赖等问题. 为此, 提出了一种新的半监督日志 …

To meet the high-performance and reliability demands of 5G, the Radio Access Network
(RAN) is moving to a cloud-native architecture. The new microservice architecture promises …

Automatic log file analysis enables early detection of relevant incidents such as system
failures. In particular, self-learning anomaly detection techniques capture patterns in log …