Abstract:
Disclosed are method and apparatus for predicting hard disk fault occurrence time of hard disk failure, and storage medium. The method includes steps of: screening a hard disk on the verge of failure from a plurality of hard disks according to state data acquired of hard disks; calculating variation quantity and discrete quantity of each piece of the state data of the hard disk on the verge of failure acquired over a first preset period of time, to obtain a first predicted data set; and inputting the first predicted data set into a first training model to obtain probability of occurrence of failure for the hard disk on the verge of failure over a future second preset period of time.
Abstract:
The disclosure provides a processing method, device and system for data of a distributed storage system. The method includes: acquiring a first schema structure of target data and a second schema structure of source data; and processing the source data into structural data of the first schema structure according to the first schema structure and the second schema structure. The disclosure solves a problem that a data schema structure in a distributed storage system in related arts is inflexible to be described. There is a beneficial effect of improving description flexibility of the data schema structure so as to improve data processing efficiency.