Epoch-based sleep prediction — measured_io feedback creates positive feedback loop → latency shelving
Each I/O: wake_time = sleep_duration + cs_overhead (δ) UNDER (device_time > wake_time): app wakes before device completes app_latency = device_time (correct) measured_io = device_time OVER (device_time ≤ wake_time): device finishes while app sleeps app_latency = wake_time (wasted time) measured_io = wake_time (inflated!) LHP update (each epoch): sleep_next = attenuation × mean(measured_io) Problem: measured_io includes inflated oversleep values → next epoch's sleep is too high → more oversleep → even more inflation → positive feedback loop → LATENCY SHELVING
▬ Genuine Device Latency - - Requested Sleep ▬ Actual Sleep (sleep + δ) - - App-Perceived I/O Latency ■ Oversleep Penalty