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TRACER: Automated Metric-Level Root Cause Localization in Microservices via Anomaly Detection and Causal Inference

https://doi.org/10.2139/ssrn.5498415
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Principles of Random Walk
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Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments
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SLA-Driven Automatic Bottleneck Detection and Resolution for Read Intensive Multi-tier Applications Hosted on a Cloud
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Nonlinear Programming
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MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems
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Anomaly Detection for Univariate Time Series with Statistics and Deep Learning
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Localizing Faults in Cloud Systems
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Root-Cause Metric Location for Microservice Systems via Log Anomaly Detection
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CauseInfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems
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Localizing Failure Root Causes in a Microservice through Causality Inference
inferredcites →https://doi.org/10.1109/ms.2015.11openalex-snapshot
Microservices
inferredcites →https://doi.org/10.1109/sc.2012.50openalex-snapshot
Direction-optimizing Breadth-First Search
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Neural Granger Causality
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CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment
inferredcites →https://doi.org/10.1109/tsc.2023.3290018openalex-snapshot
Robust Failure Diagnosis of Microservice System Through Multimodal Data
inferredcites →https://doi.org/10.1145/1135777.1135955openalex-snapshot
The distribution of pageRank follows a power-law only for particular values of the damping factor
inferredcites →https://doi.org/10.1145/2689746.2689747openalex-snapshot
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1145/3292500.3330672openalex-snapshot
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
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USAD
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Reducing cold starts during elastic scaling of containers in kubernetes
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inferredcites →https://doi.org/10.1145/3534678.3539041openalex-snapshot
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition
inferredcites →https://doi.org/10.1145/3543507.3583274openalex-snapshot
CausIL: Causal Graph for Instance Level Microservice Data
inferredcites →https://doi.org/10.1145/3580305.3599392openalex-snapshot
Incremental Causal Graph Learning for Online Root Cause Analysis
inferredcites →https://doi.org/10.1145/3589334.3645710openalex-snapshot
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
inferredcites →https://doi.org/10.1145/3660805openalex-snapshot
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection
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Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review
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Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis
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Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework
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TSB-UAD
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Root Cause Analysis in Microservice Using Neural Granger Causal Discovery
inferredcites →https://doi.org/10.2333/bhmk.41.65openalex-snapshot
Lingam: Non-Gaussian Methods for Estimating Causal Structures
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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1312.6203openalex-snapshot
Spectral Networks and Locally Connected Networks on Graphs
inferredcites →https://doi.org/10.48550/arxiv.1904.10098openalex-snapshot
DAG-GNN: DAG Structure Learning with Graph Neural Networks
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Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
inferredcites →https://doi.org/10.52202/075280-0738openalex-snapshot
Learning DAGs from Data with Few Root Causes
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Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
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