Method for dynamically modeling medium error evolution to predict disk failure

摘要

A method for predicting disk failures in a RAID environment is provided. A data collection center receives hard disk status information from one or more sets of hard disks in a storage system. For each of the sets of hard disks, the data collection center calculates a transitional probability that a hard disk will fail within a predetermined period of time based on the hard disk status information, and generates a first risk profile for the hard disk based on the calculated transitional probability. The data collection center then generates a second risk profile for a set of hard disks based on two or more of the first risk profiles, and compares the second risk profiles of the sets of hard disks to determine which of the sets of hard disks has a highest probability of failing within the predetermined period of time.