Adaptive rebuilding rates based on sampling and inference

A computing device of a group of computing devices of a dispersed storage network (DSN), the computing device comprises:

• an interface;
• a local memory;
• and
• a processing module operably coupled to the interface and the local memory, wherein the processing module functions to:
• monitor an encoded data slice access rate to produce an observed encoded data slice access rate for an associated rebuilding rate of a set of rebuilding rates;
• apply a learning rate function to the observed encoded data slice access rate based on a previous observed encoded data slice access rate associated with the rebuilding rate to produce an updated previous observed encoded data slice access rate of a set of previous observed encoded data slice access rates, where the set of previous observed encoded data slice access rates corresponds to the set of rebuilding rates;
• update a score value associated with the updated previous observed encoded data slice access rate and the rebuilding rate;
• and
• select an encoded data slice access scheme based on the updated score value where a rebuild rate selection will maximize a score value associated with an expected encoded data slice access rate.

An integrity processing unit for determining a rate to rebuild encoded data slices, stored within a dispersed storage network (DSN), the integrity processing unit comprises:

• an interface;
• a local memory;
• and
• a processing module operably coupled to the interface and the local memory, wherein the processing module functions to:
• at each time interval T, selecting a rebuild rate at which to rebuild data from a range of possible rebuild rates while monitoring an aggregate rate of I/O operations processed in T;
• calculating a score value based on the rebuild rate and an I/O rate, the calculating providing a score value for each of a set of possible rebuild rates, the score value calculated as ((N*rebuild rate)+I/O rate)2, where N is a multiplier of the rebuild rate;
• finding a sum total of all the score values for each score value in the set;
• dividing each score value by this sum total to get weighted probabilities;
• and
• wherein, for each time interval T, the integrity processing unit uses the weighted probabilities for a selection of a next rebuild rate to use.