System and methods for auto-tuning big data workloads on cloud platforms
US11228489B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2018 |
| Grant date | Jan 18, 2022 |
| Priority date | — |
| Expiry date | Aug 14, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/12
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The invention is generally directed to systems and methods of automatically tuning big data workloads across various cloud platforms, the system being in communication with a cloud platform and a user, the cloud platform including data storage and a data engine. The system may include: a system information module in communication with the cloud platform; a static tuner in communication with the system information module; a cloud tuner in communication with the static tuner and the user; and an automation module in communication with the cloud tuner. Methods may include extracting information impacting or associated with the performance of the big data workload from the cloud platform; determining recommendations based at least in part on the information extracted; iterating through different hardware configurations to determine optimal hardware and data engine configuration; and applying the determined configuration to the data engine.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.