This paper proposes the Autonomous Selection of Fault Classification models (ASFC) for Diagnosing Microservice Applications.
May 16, 2024 · Propose an unsupervised autonomous selection for classifying faults in microservices. · Accurately localize the faulty services of microservices ...
Autonomous selection of the fault classification models for diagnosing microservice applications. December 2023; Future Generation Computer Systems 153(10).
Autonomous selection of the fault classification models for diagnosing microservice applications ... Authors: Yujia Song; Ruyue Xin; Peng Chen; Rui Zhang; Juan ...
Apr 20, 2020 · We design a novel tool, named AutoMAP, which enables dynamic generation of service correlations and automated diagnosis leveraging multiple types of metrics.
This paper introduces a study of different methodologies for automatically classifying the failures in PdM data.
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May 15, 2024 · This paper proposes an interpretable fault diagnosis framework tailored for microservice architecture, namely Multi-scale Learnable Transformation Graph
This study introduces innovative fault detection methods using Artificial Neural Networks (ANNs) and one-dimension Convolution Neural Networks (1D-CNNs).
Fault Detection, Classification and Localization Along the Power Grid ...
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Mar 25, 2024 · This paper proposes new methods using fuzzy logic and adaptive fuzzy neural networks as well as machine learning and meta-heuristic algorithms.
This method selects relevant features, preprocesses data, and trains models using Random Forests, K-Nearest Neighbors, and Multi-Layer Perceptron for within ...
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