BACC achieves mean absolute compliance gaps of 0.44 and 0.42 percentage points on Azure Functions traces by separating prediction, ACI-based calibration, and PI-based budget-paced control for horizontal autoscaling.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BACC: Budget-Aware Calibration and Control for Horizontal Autoscaling
BACC achieves mean absolute compliance gaps of 0.44 and 0.42 percentage points on Azure Functions traces by separating prediction, ACI-based calibration, and PI-based budget-paced control for horizontal autoscaling.