L Wang, C Zhang, R Ding, Y Xu, Q Chen… - Proceedings of the 29th …, 2023 - dl.acm.org
In microservice systems, the identification of root causes of anomalies is imperative for service reliability and business impact. This process is typically divided into two phases:(i) …
J Hao, P Chen, J Chen, X Li - Future Generation Computer Systems, 2024 - Elsevier
The microservices architecture is extensively utilized in cloud-based application development, characterized by the construction of applications through a series of …
P Misiakos, C Wendler… - Advances in Neural …, 2024 - proceedings.neurips.cc
We present a novel perspective and algorithm for learning directed acyclic graphs (DAGs) from data generated by a linear structural equation model (SEM). First, we show that a linear …
D Choo, T Gouleakis… - … Conference on Machine …, 2023 - proceedings.mlr.press
We introduce the problem of active causal structure learning with advice. In the typical well- studied setting, the learning algorithm is given the essential graph for the observational …
R Xin, P Chen, P Grosso, Z Zhao - Future Generation Computer Systems, 2024 - Elsevier
To maintain the required service quality of time-critical cloud applications, operators must continuously monitor their runtime status, detect potential performance anomalies, and …
In recent years, microservices have gained widespread adoption in IT operations due to their scalability, maintenance, and flexibility. However, it becomes challenging for site …
Effective root cause analysis (RCA) is vital for swiftly restoring services, minimizing losses, and ensuring the smooth operation and management of complex systems. Previous data …
Effective root cause analysis (RCA) is vital for swiftly restoring services, minimizing losses, and ensuring the smooth operation and management of complex systems. Previous data …
Structural causal models (SCMs) are widely used in various disciplines to represent causal relationships among variables in complex systems. Unfortunately, the underlying causal …