Root Cause

Root cause analysis (RCA) aims to identify the underlying causes of system failures or anomalies across diverse domains, from autonomous driving to manufacturing and healthcare. Current research heavily emphasizes data-driven approaches, employing machine learning models like graph neural networks, transformers, and causal discovery algorithms (including Bayesian networks) to analyze complex datasets (often multimodal) and infer causal relationships. These advancements are improving the accuracy and efficiency of RCA, leading to faster troubleshooting, enhanced system reliability, and more informed decision-making in various industries. The development of large, publicly available datasets is also a significant focus, facilitating more robust benchmarking and algorithm comparison.

Papers

May 22, 2024

LogRCA: Log-based Root Cause Analysis for Distributed Services
Thorsten Wittkopp, Philipp Wiesner, Odej Kao
Noisy Data Root Cause Software Failure Log Anomaly Detection

April 18, 2024

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture
Wei Zhang, Hongcheng Guo, Jian Yang, Yi Zhang, Chaoran Yan, Zhoujin Tian, Hangyuan Ji, Zhoujun Li, Tongliang Li, Tieqiao Zheng, Chao Chen, Yi Liang, Xu Shi, Liangfan Zheng, Bo Zhang
Root Cause Multi Agent Collaboration Microservice Architecture Simple Agent

March 31, 2024

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng
Root Cause Log Message System Configuration Two Stage Approach Configurable Software System Log Analysis

March 7, 2024

Exploring LLM-based Agents for Root Cause Analysis
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
Agent Smith Root Cause Production Incident Incident Report Incident Management

February 11, 2024

KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks
Tingting Wang, Guilin Qi, Tianxing Wu
Knowledge Graph Fault Detection Root Cause Graph Convolutional Neural Network Post Fault Trajectory Fault Localization SHUSS Root Exploration Term

February 9, 2024

On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
Lei Zan, Charles K. Assaad, Emilie Devijver, Eric Gaussier
Application Proficiency Causal Discovery Structural Causal Model Unlabeled Anomaly Root Cause Observational Data Insect Detection

February 4, 2024

Multi-modal Causal Structure Learning and Root Cause Analysis
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
Causal Graph Causal Structure Root Cause

February 2, 2024

Root Cause Analysis In Microservice Using Neural Granger Causal Discovery
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
Causal Discovery Root Cause Microservice Architecture Neural Granger

January 24, 2024

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
Context Learning GPT 4 Root Cause Incident Management Cloud Incident

January 20, 2024

Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
Christoph Wehner, Maximilian Kertel, Judith Wewerka
Knowledge Graph Causal Relationship Root Cause Interactive No Code Manufacturing Industry Causal Bayesian Network

January 11, 2024

Root Cause Analysis on Energy Efficiency with Transfer Entropy Flow
Jian Ma
Energy Efficiency Root Cause Transfer Entropy

December 22, 2023

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis
Thorsten Wittkopp, Alexander Acker, Odej Kao
Anomaly Detection Root Cause AIOps Model Labeling Effort

December 21, 2023

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion
Yu-Zheng Lin, Muntasir Mamun, Muhtasim Alam Chowdhury, Shuyu Cai, Mingyu Zhu, Banafsheh Saber Latibari, Kevin Immanuel Gubbi, Najmeh Nazari Bavarsad, Arjun Caputo, Avesta Sasan, Houman Homayoun, Setareh Rafatirad, Pratik Satam, Soheil Salehi
Faulty Negative Mitigation Root Cause Vulnerability Data Hardware Attack

December 19, 2023

Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Causal Pattern Generative Process Root Cause Anomaly Attribution

November 8, 2023

The PetShop Dataset -- Finding Causes of Performance Issues across Microservices
Michaela Hardt, William R. Orchard, Patrick Blöbaum, Shiva Kasiviswanathan, Elke Kirschbaum
Root Cause Microservice Architecture Research Community Performance Issue Dog Dataset

October 25, 2023

October 15, 2023

Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis
Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr
Shapley Value Theoretical Analysis Model Explanation Root Cause

September 11, 2023

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
GPT 4 Soft Augmentation Root Cause Calibrated Confidence Confidence Estimation Model LLM Confidence Cloud Incident

August 16, 2023

An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns
Tae Yeob Kang, Haebom Lee, Sungho Suh
Empirical Study Fault Detection Root Cause Fault Diagnosis Method Pattern Filter

Root Cause

Papers

LogRCA: Log-based Root Cause Analysis for Distributed Services

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs

Exploring LLM-based Agents for Root Cause Analysis

KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks

On the Fly Detection of Root Causes from Observed Data with Application to IT Systems

Multi-modal Causal Structure Learning and Root Cause Analysis

Root Cause Analysis In Microservice Using Neural Granger Causal Discovery

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs

Root Cause Analysis on Energy Efficiency with Transfer Entropy Flow

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion

Root Cause Explanation of Outliers under Noisy Mechanisms

The PetShop Dataset -- Finding Causes of Performance Issues across Microservices

AI Hazard Management: A framework for the systematic management of root causes for AI risks

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models

Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns