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Pattern-based anomaly detection on time-series

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    • CloudPin: A Root Cause Localization Framework of Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks
    • Joint D2D Collaboration and Task Offloading for Edge Computing: A Mean Field Graph Approach
    • Correlating Events with Time Series for Incident Diagnosis
    • TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
    • Empirical Study: A Large-Scale Study of Failures in High-Performance Computing Systems
    • Pattern-based anomaly detection on time-series
    • Root Cause Detection in a Service-Oriented Architecture
    • Towards Highly Reliable Enterprise Network Services Via Inference of Multi-level Dependencies
    • FaultTreeAnalysis,Methods,andApplications-A Review
    • Identifying the Root Cause of Video Streaming Issues on Mobile Devices
    • G-RCA
    • 基于运行时图谱分析的微服务故障定位方法
    • Localizing Failure Root Causes in a Microservice through Causality Inference
    • An Empirical Investigation of Incident Triage for Online Service Systems
    • Fourier Transform Based Spatial Outlier Mining
    • ε-Diagnosis: Unsupervised and Real-time Diagnosis of Small- window Long-tail Latency in Large-scale Microservice Platforms
    • Empirical Study: What Can We Learn from Four Years of Data Center Hardware Failures?
    • Root Cause Analysis of Anomalies of Multitier Services in Public Clouds
    • CauseInfer 2014
    • FLUXRANK
    • A Novel Technique for Long-Term Anomaly Detection in the Cloud
    • CoNEXT11: Rapid Detection of Maintenance Induced Changes in Service Performance
    • MS-KDD19: Time-Series Anomaly Detection Service at Microsoft
    • KDD18:Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
    • SIGCOMM2020:SCOUT
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