Method for optimizing resource allocation based on prediction with reinforcement learning
US12411713B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 23, 2022 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Jun 29, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5019
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for optimizing resource allocation based on prediction with reinforcement learning includes the steps of: a) providing a prediction on the number of units of the resource for a workload in more than N timepoints after a 0-th timepoint to the processor; b) calculating at least one 0-th possible operation cost (POC) based on at least one possible provisioned number (PPN) at 1-th timepoint; c) repeating the following sub-steps for the i-th timepoint with i from 1 to N by the processor: c1) calculating at least one i-th possible operation cost (POCi); c2) finding out the smallest and the second smallest POCi; and c3) setting PPNi used to calculate the smallest POCi as an i-th assigned number; and d) provisioning 1 unit of the resource at the 0-th timepoint and i-th assigned number of units of the resource at the i-th timepoint for the workload by the processor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.