LQ-GNN: A Graph Neural Network Model for Response Time Prediction of Microservice-Based Applications in the Computing Continuum

To address the challenges posed by the deployment of microservices of future end-user applications in the cloud continuum, a performance prediction model working together with a network elasticity controller will be needed. With that aim, this work introduces Layered Queuing-Graph Neural Networks (L...

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Vydáno v:	IEEE transactions on parallel and distributed systems Ročník 36; číslo 12; s. 2566 - 2577
Hlavní autoři:	Richart, Matias, Gorricho, Juan-Luis, Baliosian, Javier, Contreras, Luis M., Muniz, Alejandro, Serrat, Joan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.12.2025
Témata:	Cloud computing Computational modeling Computing continuum Elasticity Graph neural networks Machine learning Microservice architectures microservice-based applications Predictive models Quality of service Resource management Time factors
ISSN:	1045-9219, 1558-2183
On-line přístup:	Získat plný text
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