Anomaly Detection

Time-Series

Distance-based Methods

Boundary-based Methods

Density-based Methods

Tree-based Method

Deep Learning Based Method

Other Method

1. Anomaly Detection in Streams with Extreme Value Theory.

• paper: Anomaly Detection in Streams with Extreme Value Theory. (SIGKDD)
• code: https://github.com/Amossys-team/SPOT
• keyword: Extreme Value Theory、Stream Anomaly Detection

root causal location

Tracing

1. Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks (ISSRE'20)

• code: https://github.com/NetManAIOps/TraceAnomaly
• paper: https://ieeexplore.ieee.org/document/9251058
• keyword: VAE-anomaly_detector(Flow + bayes network), Tracing vector, Microservice

Metric

1. MicroRCA: Root Cause Localization of Performance Issues in Microservices (NOMS 2020)

• code: https://github.com/elastisys/MicroRCA
• paper: https://hal.inria.fr/hal-02441640/document
• keyword: Attributed Graph Construction、Personalization PageRank、 Anomaly Service Locatization

2. Localizing Failure Root Causes in a Microservice through Causality Inference

• paper: https://netman.aiops.org/wp-content/uploads/2020/06/%E5%AD%9F%E5%AA%9B.pdf
• keyword: PCMCI(PCTS algorithm)、Random Walk(TCORW)

awesome

1. https://github.com/dreamhomes/RCAPapers

• Root Cause Analysis/Diagnosis/Localization in MicroService System