Invention Grant
- Patent Title: Utilizing machine learning to concurrently optimize computing resources and licenses in a high-performance computing environment
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Application No.: US16899165Application Date: 2020-06-11
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Publication No.: US11550625B2Publication Date: 2023-01-10
- Inventor: Sharma Nikhil , Kamal Surana , Srinivasan Viswanathan
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Priority: IN201941047550 20191121
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F9/48 ; G06N5/02 ; G06K9/62 ; G06F21/10 ; G06F9/50 ; G06N5/00

Abstract:
A device may receive a job request that requests performance of one or more operations by resources of a high-performance computing environment, and may process the job request, with a policy execution model trained with policy parameters, to identify policies to apply during execution of the job request. The device may process the job request, with a forecast object model trained with job data and profile data, to generate a forecast of resources and licenses required from the high-performance computing environment. The device may process the job request, other job requests, the one or more of the policies, and the forecast, with a heuristic model, to determine a schedule for the job request, and may process the schedule and current constraints on the resources and the licenses, with a linear programming model, to determine an optimized schedule for the job request.
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