Importance-based data storage verification

A computer system for detecting errors in stored data, comprising:

• one or more processors;
• and
• memory, including instructions executable by the one or more processors to cause the computer system to at least:
• perform one or more verification passes to verify data blocks, the data blocks comprising a first data block associated with a first probability, each of the one or more verification passes comprising:
• selecting a subset of the data blocks, the selection of the subset of the data blocks based on a subset of probabilities;
• verifying the subset of data blocks, and
• updating the first probability and the subset of probabilities based at least in part on a result of at least one of the one or more verification passes and profile information of an entity associated with the data blocks, the first probability increased when the result indicates that the first data block is unverified and the first probability decreased when the result indicates that the first data block is verified, the first probability being increased based on a proximity from the first data block to a third data block when an error is detected in the third data block.

One or more non-transitory computer-readable storage media having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to at least:

• perform multiple verifications of integrity of a plurality of data blocks that are associated with a plurality of importance indicators such that each data block is associated with a respective importance indicator, each verification of the multiple verifications comprising:
• selecting, based on one or more of the plurality of importance indicators, a subset of the plurality of data blocks;
• verifying data blocks of the selected subset;
• and
• updating individual importance indicators based at least in part on profile information of an entity associated with the data blocks, the individual importance indicators updated at least in part by redistributing importance indicator values associated with the selected subset among the plurality of importance indicators of the plurality of data blocks, the updating of the individual importance indicators comprising increasing the individual importance indicators based on a proximity of the selected subset from a second subset of the plurality of data blocks when a first error is detected in the second subset.