Modern service systems are constantly improving with the development of various IT
technologies, leading to a boost in system scales and complex dependencies among …

Cloud systems have become increasingly popular in recent years due to their flexibility and
scalability. Each time cloud computing applications and services hosted on the cloud are …

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) …

Accurate and efficient localization of root cause instances in large-scale microservice
systems is of paramount importance. Unfortunately, prevailing methods face several …

Due to the scale and complexity of cloud systems, a system failure would trigger an" alert
storm", ie, massive correlated alerts. Although these alerts can be traced back to a few root …

Telecommunication network plays an important role in our daily life. Fault detection and
alarm root cause analysis are the keys to ensure the normal operation of the network. To …

Cloud incidents (service interruptions or performance degradation) dramatically degrade the
reliability of large-scale cloud systems, causing customer dissatisfaction and revenue loss …

With the ever increasing scale and complexity of online systems, incidents are gradually
becoming commonplace. Without appropriate handling, they can seriously harm the system …

In cloud systems, incidents are potential threats to customer satisfaction and business
revenue. When customers are affected by incidents, they often request customer support …

Microservices improve the scalability and flexibility of monolithic architectures to
accommodate the evolution of software systems, but the complexity and dynamics of …