Recording runtime status via logs is common for almost computer system, and detecting
anomalies in logs is crucial for timely identifying malfunctions of systems. However …

The detection of anomalies is an essential data mining task for achieving security and
reliability in computer systems. Logs are a common and major data source for anomaly …

With the rapid development of IT operations, it has become increasingly crucial to efficiently
manage and analyze large volumes of data for practical applications. The techniques of …

With the growing market of cloud databases, careful detection and elimination of slow
queries are of great importance to service stability. Previous studies focus on optimizing the …

Log anomaly detection is a key component in the field of artificial intelligence for IT
operations (AIOps). Considering log data of variant domains, retraining the whole network …

With the booming of online service systems, anomaly detection on multivariate time series,
such as a combination of CPU utilization, average response time, and requests per second …

In large-scale online service systems, software changes are inevitable and frequent. Due to
importing new code or configurations, changes are likely to incur incidents and destroy user …

In modern datacenter networks (DCNs), failures of network devices are the norm rather than
the exception, and many research efforts have focused on dealing with failures after they …

To ensure the reliability of the Internet-based application services, KPIs (Key Performance
Monitors) are closely monitored in real time and the anomalies presented in the KPIs must …

Anomaly detection is critical for web-based software systems. Anecdotal evidence suggests
that in these systems, the accuracy of a static anomaly detection method that was previously …