Patent · US Active

Techniques for analytics-driven hybrid concurrency control in clouds

US10015062B2 · kind B2 · utility

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20Claims
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Inventors

Key dates

Filing dateNov 23, 2015
Grant dateJul 3, 2018
Priority date
Expiry dateJul 1, 2036

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.