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 …

Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Anomaly detection is a critical step towards building a secure and trustworthy system. The
primary purpose of a system log is to record system states and significant events at various …

System event logs have been frequently used as a valuable resource in data-driven
approaches to enhance system health and stability. A typical procedure in system log …

Log-based anomaly detection has been widely studied and achieves a satisfying
performance on stable log data. But, the existing approaches still fall short meeting these …

Cloud infrastructures provide a rich set of management tasks that operate computing,
storage, and networking resources in the cloud. Monitoring the executions of these tasks is …

We focus on the problem of detecting anomalous run-time behavior of distributed
applications from their execution logs. Specifically we mine templates and template …

Microservice systems are typically fragile and failures are inevitable in them due to their
complexity and large scale. However, it is challenging to localize the root-cause metric due …

As online services have more and more popular, incident diagnosis has emerged as a
critical task in minimizing the service downtime and ensuring high quality of the services …

Modern distributed systems generate interleaved logs when running in parallel. Identifiers
(ID) are always attached to them to trace running instances or entities in logs. Therefore, log …