Leveraging machine learning to automate capacity reservations for application failover on cloud
US12386679B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2021 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Aug 3, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5072
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments disclosed are directed to a computing system that performs operations for leveraging machine learning to automate capacity reservations for application failover in a cloud-based computing system. The computing system determines a simulated usage capacity of a set of applications executing in a first zone of a cloud-based computing system. The computing system then determines an amount of cloud-based computing instances in a second zone of the cloud-based computing system needed to maintain the simulated usage capacity in an event of a failover of the first zone. Subsequently, the computing system reserves the amount of cloud-based computing instances in the second zone.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.