Estimating future grid job costs by classifying grid jobs and storing results of processing grid job microcosms

Abstract

A method, system, and program for estimating future grid job costs by classifying grid jobs and storing results of processing grid job microcosms are provided. In general, a client side agent estimates future grid job costs by comparing a current grid job of a particular classification with a history of stored costs for other grid jobs of that customer of that particular classification. In particular, the grid client agent for a client system enabled to submit grid jobs to a grid provider that facilitates a grid environment, calculates a ratio of an application based metric to a grid provider metric for processing a particular grid job. Then, the grid client agent creates a table with an entry comparing the application based metric to a cost per grid provider metric for the grid provider based on the calculated ratio. Next, the grid client agent stores the table with the entry. Then, responsive to detecting a next grid job, the grid client agent estimates a cost for the grid provider to process the next grid job based on a particular number of application based metric operations required for the next grid job, translated by the ratio into the grid provider metric and multiplied by the cost per grid provider metric.