:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Dewei, He, Chuan, Peng, Xin, Lin, Fan, Zhang, Chenxi, Gong, Shengfang, Li, Ziang, Ou, Jiayu, Wu, Zheshun
Format:	Preprint
Published:	2021
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2103.01782
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought
by: Zhang, Lingzhe, et al.
Published: (2026)

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

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

Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought
by: Zhang, Lingzhe, et al.
Published: (2025)

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

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

MicroFuzz: An Efficient Fuzzing Framework for Microservices
by: Di, Peng, et al.
Published: (2024)

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

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism
by: Zhang, Lingzhe, et al.
Published: (2026)

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

Root Cause Analysis for Microservice Systems via Cascaded Conditional Learning with Hypergraphs
by: Xie, Shuaiyu, et al.
Published: (2025)

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

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

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

BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection
by: Pham, Luan, 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)

SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice
by: Ren, Rui, et al.
Published: (2024)

Understanding the Issues, Their Causes and Solutions in Microservices Systems: An Empirical Study
by: Waseem, Muhammad, et al.
Published: (2023)

Finding the Needle in the Crash Stack: Industrial-Scale Crash Root Cause Localization with AutoCrashFL
by: Kang, Sungmin, et al.
Published: (2025)

MicroRemed: Benchmarking LLMs in Microservices Remediation
by: Zhang, Lingzhe, et al.
Published: (2025)

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

Gleaner: A Semantically-Rich and Efficient Online Sampler for Microservice Diagnostics
by: Yang, Yifan, et al.
Published: (2026)

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

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

MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing
by: Yang, Tianyi, et al.
Published: (2022)

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

A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends
by: Wang, Tingting, et al.
Published: (2024)

Genetic Programming for Self-Adaptive Auto-Scaling of Microservices
by: Li, Jia, et al.
Published: (2026)

MIRAGE: Online LLM Simulation for Microservice Dependency Testing
by: Zhang, XinRan
Published: (2026)

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

C‐Koordinator: Interference‐Aware Management for Large‐Scale and Co‐Located Microservice Clusters
by: Shengye Song, et al.
Published: (2026)

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices
by: Dashtbani, Majid, et al.
Published: (2025)

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

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

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

The Technical Debt Gamble: A Case Study on Technical Debt in a Large-Scale Industrial Microservice Architecture
by: Borowa, Klara, et al.
Published: (2025)

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

RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
by: Peng, Zhiyuan, et al.
Published: (2026)

Structural Coupling for Microservices
by: Panichella, Sebastiano, et al.
Published: (2021)

The Microservice Dependency Matrix
by: Abdelfattah, Amr S., et al.
Published: (2023)