International Business Machines Corporation

Xiaolin Li

Viktors Berstis

Scott Michael Preddy

Brian Scott Stein

A method for utilizing the Monte Carlo method to determine the most efficient arrangement of schedulers for a grid using a Scheduler Optimization Program (SOP). The SOP obtains the schedulers and scheduler timetable from memory and randomly selects a time period and scheduler to analyze. The SOP then uses the selected scheduler to modify the scheduler timetable. The SOP then runs the ROI calculator to obtain a ROI property for the modified timetable. If the ROI property for the modified timetable is greater than the ROI property for the original scheduler timetable, the SOP replaces the scheduler timetable with the modified timetable.

Monte carlo grid scheduling algorithm selection optimization

A method for updating the return on investment (ROI) templates used by business consultants. The present invention comprises a Template Evaluation Program (TEP) and a Template Analysis Program (TAP). The TEP compares the default template to the templates modified by the consultants for the customer's ROI analysis and assigns an effectiveness factor to the modified templates. The TAP develops a data list from the default templates and the effectiveness factors and plots the data on a histogram. The TAP performs a statistical analysis for each parameter and updates the default template parameter values if the data fits a normal distribution curve. If the data forms more than one peak on the histogram, then the TAP uses one peak to update the default template and uses the second peak to create a new template. The new template's parameter value is derived from the data in the second peak.

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Piscataway, NJ, United States of America

Xiaolin Li