Abstract Open RAN (ORAN, O-RAN) represents a novel industry-level standard for RAN
(Radio Access Network), which defines interfaces that support inter-operation between …

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 …

Detecting anomalous events in online computer systems is crucial to protect the systems
from malicious attacks or malfunctions. System logs, which record detailed information of …

The use of system logs for detecting and troubleshooting anomalies of production systems
has been known since the early days of computers. In spite of the advances in the area, the …

Log data is an essential and valuable resource of online service systems, which records
detailed information of system running status and user behavior. Log anomaly detection is …

Abstract System logs record the running status of systems, and log anomaly detection can
help locate anomalies timely to reduce error time and ensure normal operation. Logs in text …

Log data store event execution patterns that correspond to underlying workflows of systems
or applications. While most logs are informative, log data also include artifacts that indicate …

In a large-scale cloud environment, many key performance indicators (KPIs) of entities are
monitored in real time. These multivariate time series consist of high-dimensional, high …

Anomaly detection for log sequences is a necessary task for system intelligent operation and
fault diagnosis. In a log sequence, adjacent logs have the property of local correlation, while …

In this article, we address the problem of detecting anomalies in system log files. Computer
systems generate huge numbers of events, which are noted in event log files. While most of …