Verwendung von Maschinenlernen zur Gleichzeitigen Optimierung von Rechenressourcen und Lizenzen in einer Hochleistungsrechenumgebung

Details

Veröffentlichungs-Nr.

EP3825853

Aktenzeichen

EP20202682

Anmeldetag

20. Oktober 2020

Veröffentlichung

21. Februar 2024

Erteilung

21. Februar 2024

Rechtsraum

EP

IPC

G06F9/50G06F21/10G06N20/00G06N5/01G06N5/025G06N5/04

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.

Anmelder

Firma

Accenture Global Solutions Limited

Land

🇮🇪 Irland

Fachgebiete