Anomaly Detection in Microservice-Based Systems

Deep learning

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Neural Networks

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Opprentice

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Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

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Z-Score Normalization, Hubness, and Few-Shot Learning

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Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments

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Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

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Anomaly detection using random forest: A performance revisited

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Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs

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CauseInfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems

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All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection

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Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM

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Failure prediction based on log files using Random Indexing and Support Vector Machines

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MLP Neural Network Based Gas Classification System on Zynq SoC

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Anomaly Detection and Classification using Distributed Tracing and Deep Learning

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LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs

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CloudPD: Problem determination and diagnosis in shared dynamic clouds

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Synthetic Minority Oversampling Technique for Optimizing Classification Tasks in Botnet and Intrusion-Detection-System Datasets

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CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment

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?-Diagnosis: Unsupervised and Real-time Diagnosis of Small- window Long-tail Latency in Large-scale Microservice Platforms

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Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring

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Detecting anomalies in microservices with execution trace comparison

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Machine Learning Techniques for Network Anomaly Detection: A Survey

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Anomaly detection and diagnosis for cloud services: Practical experiments and lessons learned

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Complexity Analysis of Multilayer Perceptron Neural Network Embedded into a Wireless Sensor Network

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GOAMLP: Network Intrusion Detection With Multilayer Perceptron and Grasshopper Optimization Algorithm

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Workflow-Aware Automatic Fault Diagnosis for Microservice-Based Applications With Statistics

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An Anomaly Detection Algorithm for Microservice Architecture Based on Robust Principal Component Analysis

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Self-Supervised Anomaly Detection from Distributed Traces

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Detection of Diabetes Using Multilayer Perceptron

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Anomaly detection in cyber security attacks on networks using MLP deep learning

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Predicting failures in multi-tier distributed systems

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Multilayer perceptron neural network technique for fraud detection

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A Comparative Study of Chebyshev Functional Link Artificial Neural Network, Multi-layer Perceptron and Decision Tree for Credit Card Fraud Detection

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Multi-layer perceptron for network intrusion detection

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Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering

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A Framework of Virtual War Room and Matrix Sketch-Based Streaming Anomaly Detection for Microservice Systems

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Microservices

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Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations

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Detection of Performance Anomalies in Web-Based Applications

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An Improved LOF Outlier Detection Algorithm

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Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer

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IT Equipment Monitoring and Analyzing System for Forecasting and Detecting Anomalies in Log Files Utilizing Machine Learning Techniques

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A Fault Diagnosis Method for Microservices Based on Multi-Factor Self-Adaptive Heartbeat Detection Algorithm

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Toward Context-Aware Anomaly Detection for AIOps in Microservices Using Dynamic Knowledge Graphs

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Relative Analysis and Performance of Machine Learning Approaches in Sports

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