Author

Kaijun Wu

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Open access Aug 2026

Cluster Resource Load Prediction Method Based on Temporal-Feature Attention and Dynamic Stacking

A Hybrid Temporal-Feature Attention enhanced Multi-task Stacking model (HTAM-Stack) for multivariate cluster workload forecasting, designed to jointly capture temporal dependencies and cross-resource feature interactions, achieves competitive prediction performance under complex and dynamic workload conditions.

Qiao-Yan Zhang, Kaijun Wu, Chenshuai Bai · Symmetry · 0 citations