Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Uncertainty-aware hybrid autoscaling with bias-corrected deep forecasting for cost-efficient capacity-shortfall control across cloud workload traces
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BibTeX
@article{jodayree2026uncertaintyaware,
title = {{Uncertainty-aware hybrid autoscaling with bias-corrected deep forecasting for cost-efficient capacity-shortfall control across cloud workload traces}},
author = {Mahdee Jodayree and Puya Shaykholeslami and Arman Kavoosi Ghafi and Fatemeh Mokhtari and Ali Pirkhedri},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74671-5},
url = {https://www.nature.com/articles/s41598-026-74671-5},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Uncertainty-aware hybrid autoscaling with bias-corrected deep forecasting for cost-efficient capacity-shortfall control across cloud workload traces
AU - Mahdee Jodayree
AU - Puya Shaykholeslami
AU - Arman Kavoosi Ghafi
AU - Fatemeh Mokhtari
AU - Ali Pirkhedri
PY - 2026
DA - 2026/10/06
JO - Scientific Reports
DO - 10.1038/s41598-026-74671-5
UR - https://www.nature.com/articles/s41598-026-74671-5
SN - 2045-2322
ER -