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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services

Summary: Fremer: a frequency-domain lightweight Transformer for cloud workload forecasting that leverages periodicity to cut compute/parameters while boosting accuracy and multi-period robustness. Beats SOTA on public plus four ByteDance datasets (≈5.5% MSE, 4.7% MAE, 8.6% SMAPE) and improves Kubernetes auto-scaling (≈18.8% latency, 2.35% resource savings). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14003
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,704 | 25.54%
DOI
10.14778/3749646.3749656

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