Forecasting workload in cloud computing: towards uncertainty-aware predictions and transfer learning
Published in
Cluster Computing(2025)External Links:
TL
TL;DR
Results show that modelling the uncertainty of predictions positively impacts performance, especially on service level metrics, because uncertainty quantification can be tailored to desired target service levels that are critical in cloud applications.