System and method to achieve virtual machine backup load balancing using machine learning
US11294772B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 4, 2019 |
| Grant date | Apr 5, 2022 |
| Priority date | — |
| Expiry date | Oct 1, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/81
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for performing a backup operation includes obtaining a backup request, wherein the backup request specifies a virtual machine (VM) set, and, in response to the backup request: identifying a first set of virtual machines (VMs), wherein the first set of VMs comprises a first portion of the VM set, performing a criticality analysis on the first set of VMs using a machine learning algorithm and a trained machine learning model to obtain an ordered list of critical VMs, performing a non-critical VM prioritization on a second set of VMs using the machine learning algorithm and the trained machine learning model to obtain an ordered list of non-critical VMs, consolidating the ordered list of critical VMs and the ordered list of non-critical VMs to obtain a final list, and initiating a backup of virtual machines using the final list.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.