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 …

Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …

As business of Alibaba expands across the world among various industries, higher
standards are imposed on the service quality and reliability of big data cloud computing …

Abstract Knowledge graph as a research topic is increasingly popular to represent structural
relations between entities. Recent years have witnessed the release of various open-source …

With the development of smart sensors, large amount of operating data collected from a
complex system as a high-speed train providing opportunities in efficient and effective fault …

Root cause analysis (RCA) plays an essential role in quality problem solving (QPS). Due to
the difficulty of obtaining causal knowledge of quality problems, companies often rely on …

Root Cause Analysis (RCA) of any service-disrupting incident is one of the most critical as
well as complex tasks in IT processes, especially for cloud industry leaders like Salesforce …

Microservice architecture (MSA) is a new software architecture, which divides a large single
application and service into dozens of supporting microservices. With the increasingly …

To practice the evidence-based medicine, clinicians are interested to find the most suitable
research for the clinical decision making. The use of knowledge graphs (KGs) in evidence …

Causal inference (CI) is one of the popular performance diagnosis methods, which infers the
anomaly propagation from the observed data for locating the root causes. Although some …