Hi-RCA: A Hierarchy Anomaly Diagnosis Framework Based on Causality and Correlation Analysis

J Yang, Y Guo, Y Chen, Y Zhao - Applied Sciences, 2023 - mdpi.com
Microservice architecture has been widely adopted by large-scale applications. Due to the
huge amount of data and complex microservice dependency, it also poses new challenges …

GPB and BAC: two novel models towards building an intelligent motor fault maintenance question answering system

P Lyu, J Fu, C Liu, W Yu, L Xia - Journal of Engineering Design, 2024 - Taylor & Francis
Generally, the existing methods for constructing a knowledge graph used in a question
answering system adopted two different models respectively, one is for identifying entities …

BALANCE: Bayesian Linear Attribution for Root Cause Localization

C Chen, H Yu, Z Lei, J Li, S Ren, T Zhang… - Proceedings of the …, 2023 - dl.acm.org
Root Cause Analysis (RCA) plays an indispensable role in distributed data system
maintenance and operations, as it bridges the gap between fault detection and system …

A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions

Y Shang, Y Ren, H Peng, Y Wang… - 2023 International …, 2023 - ieeexplore.ieee.org
As a result of the development of a new generation of artificial intelligence and carbon-
neutral technologies, traditional industries are undergoing dramatic transformations. The …

Cloud-native systems resilience assessments based on kubernetes architecture graph

H Wang, L Liu, C Yue, L Wang, B Li, J Chang… - … Oriented Computing and …, 2024 - Springer
Chaos engineering is a popular approach in cloud-native system resilience assessments. It
uses fault injection to test if the system is still reliable. For Kubernetes platform, which is …

A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends

T Wang, G Qi - arXiv preprint arXiv:2408.00803, 2024 - arxiv.org
The complex dependencies and propagative faults inherent in microservices, characterized
by a dense network of interconnected services, pose significant challenges in identifying the …

Accelerating Causal Inference Based RCA Using Prior Knowledge From Functional Connectivity Inference

G Winchester, G Parisis, R Harper… - … on Network and …, 2022 - ieeexplore.ieee.org
A crucial step in remedying faults within network infrastructures is to determine their root
cause. However, the large-scale, complex and dynamic nature of modern networks makes …

Fault Root Rank Algorithm Based on Random Walk Mechanism in Fault Knowledge Graph

Y Sun, L Zhao, Z Wang, D Cui… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
As the software architecture becomes more and more complex, the software architecture
changes from a monolithic architecture to a microservice architecture, ensuring the …

MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems

L Zhang, Y Shi, K Qi, D Wu, X Wang… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
At present, the microservice architecture is widely used in modern software development for
its flexibility and scalability. However, the huge data scale and complex invocation …

[PDF][PDF] Knowledge graph for explainable cyber physical systems: a case study in smart energy grids

PR Aryan - Proceedings of the 9th workshop on modeling and …, 2021 - ceur-ws.org
The rapid development of computing technology and automation widens the scope of the
task delegated to cyber-physical systems (CPS) such as smart grids or smart buildings …