Techniques for analytics-driven hybrid concurrency control in clouds
US10574545B2 · kind B2 · utility
3Cited by
1References
21Claims
0Family size
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Key dates
| Filing date | Jun 11, 2018 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Jun 13, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0894
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.