Determining when to perform a data integrity check of copies of a data set using a machine learning module

A system for checking data integrity of copies of a data set at storage units, comprising:

• a processor;
• and
• a computer readable storage medium storing computer readable program code that when executed by the processor performs operations, the operations comprising:
• providing input on storage attributes of the storage units, each storage unit of the storage units storing a copy of a data set, to a machine learning module to produce an output value;
• determining whether the output value indicates to perform a data integrity check of the copies of the data set;
• determining whether the copies of the data set on different storage units are inconsistent in response to determining to perform the data integrity check;
• and
• correcting at least one of the copies of the data set to synchronize all the copies of the data set.

A method for checking data integrity of copies of a data set, comprising:

• providing input on storage attributes of a plurality of storage units, each storage unit of the storage units storing a copy of a data set, to a machine learning module to produce an output value;
• determining whether the output value indicates to perform a data integrity check of the copies of the data set;
• determining whether the copies of the data set on different storage units are inconsistent in response to determining to perform the data integrity check;
• and
• correcting at least one of the copies of the data set to synchronize all the copies of the data set.

A computer program product for checking data integrity of copies of a data set, the computer program product comprising a computer readable storage medium storing computer readable program code that when executed performs operations, the operations comprising:

• providing input on storage attributes of a plurality of storage units, wherein one storage unit stores a primary copy of the data set and at least one other storage unit stores at least one replication copy of the data set to which the primary copy is replicated, to a machine learning module to produce an output value indicating a likelihood that the primary copy and the at least one replication copy do not match;
• determining whether the output value indicates to adjust a data integrity check frequency indicating a frequency at which a data integrity check is performed of the primary copy and the at least one replication copy of the data set;
• adjusting the data integrity check frequency in response to determining that the output value indicates to adjust the data integrity check;
• and
• performing the data integrity check based on a number of times the primary copy of the data set has been replicated to the at least one replication copy and the data integrity check frequency.

A system for checking data integrity of copies of a data set, comprising:

• a processor;
• and
• a computer readable storage medium storing computer readable program code that when executed by the processor performs operations, the operations comprising:
• providing input on storage attributes of a plurality of storage units, wherein one storage unit stores a primary copy of the data set and at least one other storage unit stores at least one replication copy of the data set to which the primary copy is replicated, to a machine learning module to produce an output value indicating a likelihood that the primary copy and the at least one replication copy do not match;
• determining whether the output value indicates to adjust a data integrity check frequency indicating a frequency at which a data integrity check is performed of the primary copy and the at least one replication copy of the data set;
• adjusting the data integrity check frequency in response to determining that the output value indicates to adjust the data integrity check;
• and
• performing the data integrity check based on a number of times the primary copy of the data set has been replicated to the at least one replication copy and the data integrity check frequency.

A method for checking data integrity of copies of a data set, comprising:

• providing input on storage attributes of a plurality of storage units, wherein one storage unit stores a primary copy of the data set and at least one other storage unit stores at least one replication copy of the data set to which the primary copy is replicated, to a machine learning module to produce an output value indicating a likelihood that the primary copy and the at least one replication copy do not match;
• determining whether the output value indicates to adjust a data integrity check frequency indicating a frequency at which a data integrity check is performed of the primary copy and the at least one replication copy of the data set;
• adjusting the data integrity check frequency in response to determining that the output value indicates to adjust the data integrity check;
• and
• performing the data integrity check based on a number of times the primary copy of the data set has been replicated to the at least one replication copy and the data integrity check frequency.