Why Predictive AI Might Be the Future of Disk Hygiene

This article introduces a novel disk scrubbing framework powered by Mondrian Conformal Prediction (MCP) to optimize maintenance in data storage systems. The approach uses system and storage statistics — including SMART parameters, Background Media Scanning (BMS) data, and CPU/disk utilization metrics — to predict drive health and workload patterns. By turning these predictions into scrubbing frequencies and schedules, the system intelligently prioritizes drives that require attention, thereby reducing downtime, extending disk lifespan, and improving overall storage reliability.