Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …

Logs are imperative in the management process of networks and services. However,
manually identifying and classifying anomalous logs is time-consuming, error-prone, and …

Logs are one of the most critical data for service management. It contains rich runtime
information for both services and users. Since size of logs are often enormous in size and …

Software logging is the practice of recording different events and activities that occur within a
software system, which are useful for different activities such as failure prediction and …

Maintenance records of complex industrial equipment contain a large amount of
unstructured data (eg technician notes) pertaining to repair actions and associated …

Log analysis is vitally important for network reliability, and many log-based tasks are derived
to analysis logs, such as anomaly detection, failure prediction, log compression, and log …

Protecting users' systems from evolving cybercrime is becoming increasingly challenging.
Attackers create more complicated attack patterns and configure attack behavior to resemble …

Automated Log Analysis tasks such as root cause analysis and fault prediction play a pivotal
role in maintaining the overall application health. These tasks employ log parsers to extract …

The number of ICT services operated on large-scale systems is increasing, and faults in the
target systems need to be detected for the stability of the services. When a fault occurs in the …