Dynamic optimization of workload execution based on statistical data collection and updated job profiling
US9996389B2 · kind B2 · utility
4Cited by
10References
13Claims
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Key dates
| Filing date | Mar 11, 2014 |
| Grant date | Jun 12, 2018 |
| Priority date | — |
| Expiry date | Jul 16, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/34
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments presented herein provide techniques for optimizing parallel data flows of a batch processing job using a profile of the processing job. An application retrieves a job profile for a processing job. The processing job has a plurality of processing stages specified in an execution profile. The job profile includes statistical data for at least one of the processing stages obtained during prior executions of the job. The application modifies properties of the execution profile based on the job profile to optimize the execution of the job. The application executes the processing job with the modified execution profile.
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