Load Prediction in Double-Channel Residual Self-Attention Temporal Convolutional Network with Weight Adaptive Updating in Cloud Computing

When resource demand increases and decreases rapidly, container clusters in the cloud environment need to respond to the number of containers in a timely manner to ensure service quality. Resource load prediction is a prominent challenge issue with the widespread adoption of cloud computing. A novel...

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Detalles Bibliográficos

Autores principales:	Jiang Lin, Yepeng Guan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-05-01
Colección:	Sensors
Materias:	cloud computing load prediction residual temporal attention mechanism double-channel temporal convolutional network adaptive weight update
Acceso en línea:	https://www.mdpi.com/1424-8220/24/10/3181
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