Run time estimation system optimization

A method, implemented at a computer system that includes one or more processors, of training an optimized time estimation system for completing a data processing job to be run on at least one data processing device that operates within a distributed processing system having a range of platforms, the method including:

• creating a prediction algorithm based upon retrieved operational parameters associated with a data processing job;
• retrieving further operational parameters associated with the data processing job;
• and
• updating the prediction algorithm based on the further operational parameters, wherein the prediction algorithm is updated by modifying parameter values associated with variable parameters of the prediction algorithm.

A computer system, comprising:

• one or more hardware processors;
• and
• one or more computer-readable media having stored thereon computer-executable instructions that are executable by the one or more hardware processors and that are structured to configure the computer system to train an optimized time estimation system for completing a data processing job to be run on at least one data processing device that operates within a distributed processing system having a range of platforms, the computer-executable instructions including computer-executable instructions that are structured to configure the computer system to:
• create a prediction algorithm based upon retrieved operational parameters associated with a data processing job;
• retrieve further operational parameters associated with the data processing job;
• and
• update the prediction algorithm based on the further operational parameters, wherein the prediction algorithm is updated by modifying parameter values associated with variable parameters of the prediction algorithm.

A computer program product comprising one or more hardware storage devices having stored thereon computer-executable instructions that are executable by one or more processors of a computer system and that are structured to configure the computer system to train an optimized time estimation system for completing a data processing job to be run on at least one data processing device that operates within a distributed processing system having a range of platforms, including computer-executable instructions that are structured to configure the computer system to:

• create a prediction algorithm based upon retrieved operational parameters associated with a data processing job;
• retrieve further operational parameters associated with the data processing job;
• and
• update the prediction algorithm based on the further operational parameters, wherein the prediction algorithm is updated by modifying parameter values associated with variable parameters of the prediction algorithm.