Tags

2010¶

• Fingerprinting the Datacenter Automated Classification of Performance Crises

2013¶

• Scorpion Explaining Away Outliers in Aggregate Que

2016¶

• Efficient identification of node importance in social networks

2017¶

• Automatically Analyzing Groups of Crashes for Find
• Deep Adaptive Image Clustering
• Performance Monitoring and Root Cause Analysis for Cloud hosted Web Applications
• Sieve Actionable Insights from Monitored Metrics i

2018¶

• Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning

2019¶

• Combining Spectrum Based Fault Localization and Statistical Debugging An Empirical Study
• Deep Anomaly Detection with Deviation Networks
• DeepFL Integrating Multiple Fault Diagnosis Dimensions for Deep Fault Localization
• Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
• FluxRank A Widely Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation

2020¶

• AutoMAP Diagnose Your Microservice based Web Appli
• CADET A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning
• CableMon Improving the Reliability of Cable Broadb
• Characteristic Functions on Graphs Birds of a Feather, from Statistical Descriptors to Parametric Models
• Debunking Four Long Standing Misconceptions of Time Series Distance Measures
• Efficient Incident Identification from Multi dimensional Issue Reports via Meta heuristic Search
• FIRM An Intelligent Fine grained Resource Manage
• Failures and Fixes A Study of Software System Incident Response
• Fast Dimensional Analysis for Root Cause Investigation in a Large Scale Service Environment
• Graph based root cause analysis for service oriented and microservice architectures
• Graph based trace analysis for microservice architecture understanding and problem diagnosis
• Identifying Operational Points for Deterministic Execution in Cloud Computing
• InfoGraph Unsupervised and semi supervised graph l
• KDetect Unsupervised Anomaly Detection for Cloud Systems Based on Time Series Clustering
• LogGAN a Log level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling
• Lumos A Library for Diagnosing Metric Regressions in Web Scale Applications
• MicroHECL High Efficient Root Cause Localization i
• MicroRAS Automatic Recovery in the Absence of Hist
• MicroRCA Root Cause Localization of Performance Issues in Microservices
• MicroRank End to End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments
• Multi dimensional Impact Detection and Diagnosis in Cellular Networks
• Multi indicators prediction in microservice using
• MultiImport Inferring Node Importance in a Knowled
• Performance Diagnosis in Cloud Microservices using Deep Learning
• Performance Optimization for Microservice in the Cloud
• PracExtractor Extracting Configuration Good Practices from Manuals to Detect Server Misconfigurations
• Predicting failures in multi tier distributed systems
• Root Cause Analysis of Noisy Neighbors in a Virtua
• Sinan Data Driven Resource Management for Interact

2021¶

• AutoTune Improving End to end Performance and Reso
• Characterizing Microservice Dependency and Performance Alibaba Trace Analysis
• CloudRCA A Root Cause Analysis Framework for Cloud Computing Platforms
• Concept Drift based Runtime Reliability Anomaly Detection for Edge Services Adaptation
• Enjoy your observability an industrial survey of microservice tracing and analysis
• Fast Outage Analysis of Large scale Production Clouds with Service Correlation Mining
• GRAF A Graph Neural Network based Proactive Resource Allocation Framework for SLO Oriented Microservices
• Graph based Incident Aggregation for Large Scale Online Service Systems
• Sage Leveraging ML To Diagnose Unpredictable Perfo
• TraceRank Abnormal service localization with dis a

2022¶

• Adaptive performance anomaly detection for online service systems via pattern sketching
• Anomaly Detection and Localization in NFV Systems
• Deep Graph level Anomaly Detection by Glocal Knowledge Distillation
• Revelio ML Generated Debugging Queries for Distrib
• SPINE a scalable log parser with feedback guidance
• TraceCRL Contrastive Representation Learning for M

2023¶

• BALANCE Bayesian Linear Attribution for Root Cause

ASE¶

• Combining Spectrum Based Fault Localization and Statistical Debugging An Empirical Study
• Graph based Incident Aggregation for Large Scale Online Service Systems

ASPLOS¶

• Sage Leveraging ML To Diagnose Unpredictable Perfo

ATC¶

• PracExtractor Extracting Configuration Good Practices from Manuals to Detect Server Misconfigurations

Book Notes¶

• Elements of Causal Inference Foundations

CIKM¶

• Characteristic Functions on Graphs Birds of a Feather, from Statistical Descriptors to Parametric Models
• CloudRCA A Root Cause Analysis Framework for Cloud Computing Platforms

Causal Inference¶

• Elements of Causal Inference Foundations

CoNEXT¶

• GRAF A Graph Neural Network based Proactive Resource Allocation Framework for SLO Oriented Microservices

ESEC/FSE¶

• Automatically Analyzing Groups of Crashes for Find
• Efficient Incident Identification from Multi dimensional Issue Reports via Meta heuristic Search
• Graph based trace analysis for microservice architecture understanding and problem diagnosis
• SPINE a scalable log parser with feedback guidance
• TraceCRL Contrastive Representation Learning for M

Empirical Software Engineering¶

• Enjoy your observability an industrial survey of microservice tracing and analysis

EuroSys¶

• Fingerprinting the Datacenter Automated Classification of Performance Crises

Frontiers of Computer Science¶

• Performance Optimization for Microservice in the Cloud

ICCV¶

• Deep Adaptive Image Clustering

ICLR¶

• InfoGraph Unsupervised and semi supervised graph l

ICSE¶

• Adaptive performance anomaly detection for online service systems via pattern sketching
• Fast Outage Analysis of Large scale Production Clouds with Service Correlation Mining

ICSE SEIP¶

• MicroHECL High Efficient Root Cause Localization i

ICSME¶

• Failures and Fixes A Study of Software System Incident Response

IEEE Cloud Summit¶

• Identifying Operational Points for Deterministic Execution in Cloud Computing

IEEE/ACM International Conference on Utility and Cloud Computing¶

• MicroRAS Automatic Recovery in the Absence of Hist

ISSRE¶

• FluxRank A Widely Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation

ISSTA¶

• DeepFL Integrating Multiple Fault Diagnosis Dimensions for Deep Fault Localization

Information Processing and Management¶

• Efficient identification of node importance in social networks

Information Systems Frontiers¶

• LogGAN a Log level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling

International Workshop on Artificial Intelligence for IT Operations¶

• Performance Diagnosis in Cloud Microservices using Deep Learning

JSS¶

• Graph based root cause analysis for service oriented and microservice architectures
• Predicting failures in multi tier distributed systems

Journal of Software: Evolution and Process¶

• TraceRank Abnormal service localization with dis a

KDD¶

• Deep Anomaly Detection with Deviation Networks
• Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
• Lumos A Library for Diagnosing Metric Regressions in Web Scale Applications
• MultiImport Inferring Node Importance in a Knowled

MLSys¶

• Revelio ML Generated Debugging Queries for Distrib

MSN¶

• Multi dimensional Impact Detection and Diagnosis in Cellular Networks

Middleware¶

• Sieve Actionable Insights from Monitored Metrics i

NOMS¶

• Anomaly Detection and Localization in NFV Systems
• MicroRCA Root Cause Localization of Performance Issues in Microservices

NSDI¶

• CableMon Improving the Reliability of Cable Broadb

OSDI¶

• FIRM An Intelligent Fine grained Resource Manage

Paper Notes¶

• Adaptive performance anomaly detection for online service systems via pattern sketching
• Anomaly Detection and Localization in NFV Systems
• AutoMAP Diagnose Your Microservice based Web Appli
• AutoTune Improving End to end Performance and Reso
• Automatically Analyzing Groups of Crashes for Find
• BALANCE Bayesian Linear Attribution for Root Cause
• CADET A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning
• CableMon Improving the Reliability of Cable Broadb
• Characteristic Functions on Graphs Birds of a Feather, from Statistical Descriptors to Parametric Models
• Characterizing Microservice Dependency and Performance Alibaba Trace Analysis
• CloudRCA A Root Cause Analysis Framework for Cloud Computing Platforms
• Combining Spectrum Based Fault Localization and Statistical Debugging An Empirical Study
• Concept Drift based Runtime Reliability Anomaly Detection for Edge Services Adaptation
• Debunking Four Long Standing Misconceptions of Time Series Distance Measures
• Deep Adaptive Image Clustering
• Deep Anomaly Detection with Deviation Networks
• Deep Graph level Anomaly Detection by Glocal Knowledge Distillation
• DeepFL Integrating Multiple Fault Diagnosis Dimensions for Deep Fault Localization
• Efficient Incident Identification from Multi dimensional Issue Reports via Meta heuristic Search
• Enjoy your observability an industrial survey of microservice tracing and analysis
• Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
• Efficient identification of node importance in social networks
• FIRM An Intelligent Fine grained Resource Manage
• Failures and Fixes A Study of Software System Incident Response
• Fast Dimensional Analysis for Root Cause Investigation in a Large Scale Service Environment
• Fast Outage Analysis of Large scale Production Clouds with Service Correlation Mining
• Fingerprinting the Datacenter Automated Classification of Performance Crises
• FluxRank A Widely Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation
• GRAF A Graph Neural Network based Proactive Resource Allocation Framework for SLO Oriented Microservices
• Graph based Incident Aggregation for Large Scale Online Service Systems
• Graph based root cause analysis for service oriented and microservice architectures
• Graph based trace analysis for microservice architecture understanding and problem diagnosis
• Identifying Operational Points for Deterministic Execution in Cloud Computing
• InfoGraph Unsupervised and semi supervised graph l
• KDetect Unsupervised Anomaly Detection for Cloud Systems Based on Time Series Clustering
• LogGAN a Log level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling
• Lumos A Library for Diagnosing Metric Regressions in Web Scale Applications
• MicroHECL High Efficient Root Cause Localization i
• MicroRAS Automatic Recovery in the Absence of Hist
• MicroRCA Root Cause Localization of Performance Issues in Microservices
• MicroRank End to End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments
• Multi dimensional Impact Detection and Diagnosis in Cellular Networks
• Multi indicators prediction in microservice using
• MultiImport Inferring Node Importance in a Knowled
• Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning
• Performance Diagnosis in Cloud Microservices using Deep Learning
• Performance Monitoring and Root Cause Analysis for Cloud hosted Web Applications
• Performance Optimization for Microservice in the Cloud
• PracExtractor Extracting Configuration Good Practices from Manuals to Detect Server Misconfigurations
• Predicting failures in multi tier distributed systems
• Revelio ML Generated Debugging Queries for Distrib
• Root Cause Analysis of Noisy Neighbors in a Virtua
• SPINE a scalable log parser with feedback guidance
• Sage Leveraging ML To Diagnose Unpredictable Perfo
• Scorpion Explaining Away Outliers in Aggregate Que
• Sieve Actionable Insights from Monitored Metrics i
• Sinan Data Driven Resource Management for Interact
• TraceCRL Contrastive Representation Learning for M
• TraceRank Abnormal service localization with dis a

PyTorch¶

• Th nanmean vs th mean

SERVICE¶

• Multi indicators prediction in microservice using

SIGMETRICS¶

• Fast Dimensional Analysis for Root Cause Investigation in a Large Scale Service Environment

SIGMOD¶

• BALANCE Bayesian Linear Attribution for Root Cause
• Debunking Four Long Standing Misconceptions of Time Series Distance Measures

SNTA¶

• KDetect Unsupervised Anomaly Detection for Cloud Systems Based on Time Series Clustering

SoCC¶

• Characterizing Microservice Dependency and Performance Alibaba Trace Analysis

TKDE¶

• Concept Drift based Runtime Reliability Anomaly Detection for Edge Services Adaptation

TPDS¶

• Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning

Time Series Anomaly Detection¶

• Adaptive performance anomaly detection for online service systems via pattern sketching
• CableMon Improving the Reliability of Cable Broadb

VLDB¶

• Scorpion Explaining Away Outliers in Aggregate Que

WCNC¶

• Root Cause Analysis of Noisy Neighbors in a Virtua

WSDM¶

• Deep Graph level Anomaly Detection by Glocal Knowledge Distillation

WWW¶

• AutoMAP Diagnose Your Microservice based Web Appli
• MicroRank End to End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments
• Performance Monitoring and Root Cause Analysis for Cloud hosted Web Applications

arXiv¶

• AutoTune Improving End to end Performance and Reso
• CADET A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning
• Sinan Data Driven Resource Management for Interact