Patent · US Active

Machine learning based runtime optimization

US11614963B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Hong Wei Jia · Bellevue, US
Guang Ming Zhang · Beijing, CN
Mo Liu · Beijing, CN
Yun Wang · Beijing, CN
Wu Yan · Beijing, CN
Xiaoyang Yang · San Francisco, US
He Sheng Yang · Singapore, SG

Key dates

Filing date	Sep 25, 2020
Grant date	Mar 28, 2023
Priority date	—
Expiry date	Sep 17, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method of operating a shared computing environment includes receiving a client request for an optimized runtime configuration of the shared computing environment for executing a task, receiving runtime data of the task collected from a prior runtime, inferring a runtime configuration from the runtime data, determining a predicted timeseries workload for the shared computing environment, updating the runtime configuration to including the timeseries workload prediction, wherein the updating outputs the optimized runtime configuration, and configuring the shared computing environment according to the optimized runtime configuration in executing the task.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.