Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …

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 …

Most cloud applications use a large number of smaller sub-components (called
microservices) that interact with each other in the form of a complex graph to provide the …

Fault diagnosis is critical in many domains, as faults may lead to safety threats or economic
losses. In the field of online service systems, operators rely on enormous monitoring data to …

Root cause analysis (RCA) in large-scale microservice systems is a critical and challenging
task. To understand and localize root causes of unexpected faults, modern observability …

Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of
microservice systems. However, performing RCA on modern microservice systems can be …

Automatic failure diagnosis is crucial for large microservice systems. Currently, most failure
diagnosis methods rely solely on single-modal data (ie, using either metrics, logs, or traces) …

The rapid progress of modern computing systems has led to a growing interest in informative
run-time logs. Various log-based anomaly detection techniques have been proposed to …

Anomaly detection is a crucial task in complex distributed systems. A thorough
understanding of the requirements and challenges of anomaly detection is pivotal to the …

Software logs record system activities, aiding maintainers in identifying the underlying
causes for failures and enabling prompt mitigation actions. However, maintainers need to …