Machine learning for determining suitability of application migration from local to remote providers
US11915106B2 · kind B2 · utility
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6References
19Claims
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Key dates
| Filing date | Jul 9, 2020 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Dec 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F8/77
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer implemented method is provided that includes using historic migration data to label key performance indicators (KPIs) in a migration model including a scale that indicates a level of successful migration to a remote provider. Employing the migration model to predict successful migration of a local application having one or more of said one or more of local key performance indicators for the local application. Migrating the local application to a remote provider when the model to predict successful migration indicates a greater than threshold value for successful migration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.