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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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Furkejuvvon:
Váldodahkki: Matías, Richart (author)
Eará dahkkit: Gorricho, Juan-Luis (author), Baliosian, Javier (author), Contreras, Luis M. (author), Muniz, Alejandro (author), Serrat, Joan (author)
Materiálatiipa: article
Giella:eaŋgalasgiella
Almmustuhtton: 2025
Fáttát:
Computing Continuum
Elasticity
Microservicebased applications
Graph Neural Networks
Machine Learning
Liŋkkat:https://hdl.handle.net/20.500.12008/50571
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Geahča maid: LQ-GNN: A Graph Neural Network model for response time prediction of microservice-based applications in the computing continuum.

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