Scalable methods and systems for approximating statistical distributions
US10963346B2 · kind B2 · utility
3Cited by
56References
20Claims
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Key dates
| Filing date | Jun 5, 2018 |
| Grant date | Mar 30, 2021 |
| Priority date | — |
| Expiry date | Jan 10, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/81
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for generating distribution approximations with low memory footprints are disclosed. In some embodiments, a system receives a first set of values that measure one or more metrics of at least one computing resource. A set of clusters are generated, within volatile or non-volatile memory, that approximate a distribution of the first set of values measuring the one or more metrics of the at least one computing resource. The set of clusters is transformed, within volatile or non-volatile memory, to a piecewise approximation of a function for the first set of values.
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