Thermal-Aware Power Management: Throttling Algorithms & Sustained Performance

From heat to numbers: building a practical thermal model Reactive throttling: trip points, fans and last-second fixes Predictive throttling: forecasting temperature to preserve sustained performance Workload shaping, task migration and QoS knobs that buy you time Practical Application Thermal-aware power management is the difference between a device that consistently delivers sustained performance and one that visibly collapses into repeated throttle cycles. My job is to model heat paths, make the sensors trustworthy, and coordinate firmware + OS controls so performance is predictable when load, battery state, and ambient conditions conspire against you. The device you ship starts failing in three ways you already recognize: short bursts of peak performance, then a hard drop; oscillation where firmware and OS hunt around trip points; and long-term degradation (battery and solder fatigue) that shows up in field returns and reliability test failures. Those symptoms point to three systemi