wangmu0115/awesome-aiops

awesome AIOps

1. 单指标异常检测

	Papers	Tags	Links
	Cross-dataset Time Series Anomaly Detection for Cloud Systems	ATC2019	Paper
	Time-Series Anomaly Detection Service at Microsoft	KDD 2019,Spectral Residual	Paper
	Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels	ISSRE 2021, PU learning, active learning	Paper
	Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services	JSAC 2022, transfer learning,time series clustering	Paper

2. 多指标异常检测

	Papers	Tags	Links
	Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network	KDD 2019,Neural networks,Bayesian network models	Paper
	Detecting Outlier Machine Instances through Gaussian Mixture Variational Autoencoder with One Dimensional CNN	TC 2021, 1D-CNN,GMVAE	Paper
	Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding	KDD 2021,Neural networks,Bayesian network models,Latent variable models	Paper
	Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems	ATC 2021, transfer learning,time series clustering	Paper

3. 日志分析与异常检测

	Papers	Tags	Links
	LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs	IJCAI 2018	Paper
	A Survey on Automated Log Analysis for Reliability Engineering	CSUR 2021,log compression,log parsing,log mining	Paper
	Log-based Anomaly Detection Without Log Parsing	ASE 2021,Log Parsing,Deep Learning	Paper
	MoniLog: An Automated Log-Based Anomaly Detection System for Cloud Computing Infrastructures	ICDE 2021,Log Instability, Log Parsing	Paper
	Log-based Anomaly Detection with Deep Learning: How Far Are We?	ICSE 2022,Log Parsing,Deep Learning	Paper

4. 调用链分析与异常检测

	Papers	Tags	Links
	Latent Error Prediction and Fault Localization for Microservice Applications by Learning from System Trace Logs	ESES/FSE 2019	Paper
	Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks	ISSRE 2020	Paper
	Practical Root Cause Localization for Microservice Systems via Trace Analysis	IWQoS 2021	Paper
	TraceCRL: Contrastive Representation Learning for Microservice Trace Analysis	FSE 2022
	Unsupervised Anomaly Detection on Microservice Traces through Graph VAE	WWW 2023	Paper

5. 故障分类

	Papers	Tags	Links
	Fingerprinting the Datacenter: Automated Classification of Performance Crises	EuroSys 2010	Paper
	Taking the Blame Game out of Data Centers Operations with NetPoirot	SIGCOMM 2016	Paper
	Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning	TPDS 2019	Paper
	Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems	HPCC 2021	Paper
	Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems	ISSRE 2021	Paper
	Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases	VLDB 2020	Paper

6. 根因定位

	Papers	Tags	Links
	AutoMAP: Diagnose Your Microservice-based Web Applications Automatically	WWW 2020,anomaly diagnosis	Paper
	MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments	WWW 2021,PageRank,spectrum analysis	Paper
	MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems	ICSE 2021,root cause localization,service call graph	Paper
	Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems	ECSE 2022,Fault Localization ,Online Service Systems,Recurring Failures	Paper
	Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data	ICSE 2023,root cause localization	Paper
	Robust Failure Diagnosis of Microservice System through Multimodal Data	TSE2023,Failure diagnosis,Multimodal data,Graph neural network	Paper