ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization

ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization

A technical challenge for workload prediction in microservice systems is how to capture both the dynamic features of workload and evolving dependencies among microservices. The existing work focused mainly on modeling dynamic features without taking adequate account of evolving dependencies due to t...

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Bibliographic Details
Main Authors: Xiaoxuan Luo, Hong Shen, Wei Ke
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
workload prediction
microservice dependency analysis
machine learning
matrix factorization
temporal regularization
nuclear norm regularization
Online Access:https://www.mdpi.com/2076-3417/15/11/5946
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