Anomaly Detection in Microservice-Based Systems

Anomaly Detection in Microservice-Based Systems

Currently, distributed software systems have evolved at an unprecedented pace. Modern software-quality requirements are high and require significant staff support and effort. This study investigates the use of a supervised machine learning model, a Multi-Layer Perceptron (MLP), for anomaly detection...

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Bibliographic Details
Main Authors: João Nobre, E. J. Solteiro Pires, Arsénio Reis
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
anomaly detection
failure detection
microservices
multi-service applications
machine learning
neural networks
Online Access:https://www.mdpi.com/2076-3417/13/13/7891

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