Cover Image

MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Shuai, Chen, Pengfei, Tian, Bozhe, Tan, Gou, Xu, Maohong, Qu, Youjun, Zhao, Yahui, Shang, Yiduo, Tan, Chongkang
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cloud-OpsBench: A Reproducible Benchmark for Agentic Root Cause Analysis in Cloud Systems
by: Wang, Yilun, et al.
Published: (2026)

DynaCausal: Dynamic Causality-Aware Root Cause Analysis for Distributed Microservices
by: Zhang, Songhan, et al.
Published: (2025)

RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
by: Tonon, Andrea, et al.
Published: (2025)

FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications
by: Huang, Jin, et al.
Published: (2024)

COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge
by: Li, Yichen, et al.
Published: (2025)

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
by: Pham, Luan, et al.
Published: (2024)

Stalled, Biased, and Confused: Uncovering Reasoning Failures in LLMs for Cloud-Based Root Cause Analysis
by: Riddell, Evelien, et al.
Published: (2026)

Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments
by: Zhu, Yuhan, et al.
Published: (2024)

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
by: Zhang, Xuchao, et al.
Published: (2024)

KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems
by: Gu, Wenwei, et al.
Published: (2025)

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
by: Wang, Zefan, et al.
Published: (2023)

Causal AI-based Root Cause Identification: Research to Practice at Scale
by: Jha, Saurabh, et al.
Published: (2025)

Validating Alerts in Cloud-Native Observability
by: Borges, Maria C., et al.
Published: (2025)

Multi-Agent Systems for Root Cause Analysis in Microservices
by: Naakka, Alexander, et al.
Published: (2026)

Graph-Free Root Cause Analysis
by: Pham, Luan
Published: (2026)

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis
by: Tan, Gou, et al.
Published: (2026)

Rethinking the Evaluation of Microservice RCA with a Fault Propagation-Aware Benchmark
by: Fang, Aoyang, et al.
Published: (2025)

Continuous Observability Assurance in Cloud-Native Applications
by: Borges, Maria C., et al.
Published: (2025)

AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
by: Wang, Zhaohui Geoffrey
Published: (2026)

Identifying Root Causes of Null Pointer Exceptions with Logical Inferences
by: Kim, Jindae, et al.
Published: (2024)

Root-Cause-Driven Automated Vulnerability Repair
by: Wang, Hulin, et al.
Published: (2026)

InferLog: Accelerating LLM Inference for Online Log Parsing via ICL-oriented Prefix Caching
by: Wang, Yilun, et al.
Published: (2025)

OXN -- Automated Observability Assessments for Cloud-Native Applications
by: Borges, Maria C., et al.
Published: (2024)

Which Types of Heterogeneity Matter for Root Cause Localization in Microservice Systems ?
by: Wang, Runzhou, et al.
Published: (2026)

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization
by: Goel, Drishti, et al.
Published: (2025)

A Goal-Driven Survey on Root Cause Analysis
by: Fang, Aoyang, et al.
Published: (2025)

Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes
by: Shah, Mehil B, et al.
Published: (2026)

RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data
by: Pham, Luan, et al.
Published: (2024)

Automated Root Cause Analysis System for Complex Data Products
by: Demarne, Mathieu, et al.
Published: (2024)

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning
by: Ji, Liguo, et al.
Published: (2025)

AnoMod: A Dataset for Anomaly Detection and Root Cause Analysis in Microservice Systems
by: Ping, Ke, et al.
Published: (2026)

MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems
by: Liu, Dewei, et al.
Published: (2021)

Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns
by: Gao, Kai, et al.
Published: (2026)

CRACI: A Cloud-Native Reference Architecture for the Industrial Compute Continuum
by: Dinh-Tuan, Hai
Published: (2025)

Can Causality Cure Confusion Caused By Correlation (in Software Analytics)?
by: Rayegan, Amirali, et al.
Published: (2026)

Rethinking State Management in Actor Systems for Cloud-Native Applications
by: Liu, Yijian, et al.
Published: (2024)

Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud‐Native Applications
by: Jingfeng Wu, et al.
Published: (2025)

TORAI: Multi-source Root Cause Analysis for Blind Spots in Microservice Service Call Graph
by: Pham, Luan, et al.
Published: (2026)

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks
by: Zhang, Jiaqi, et al.
Published: (2025)

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices
by: Zhang, Lingzhe, et al.
Published: (2026)