Neural network resource sizing apparatus for database applications
US8051019B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 13, 2006 |
| Grant date | Nov 1, 2011 |
| Priority date | — |
| Expiry date | Sep 13, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network resource sizing apparatus for database applications. Through use of multiple database application metrics input into a neural network learning algorithm, recommended resource capacities are generated. Input parameters such as the number of records, lookups, images, PDFs, fields, BLOBs and width of fields for example may be utilized to train a neural network to yield needed resource metrics such as the processing power, memory, disk and/or network capacities required to run the database application. Training for the neural network may involve running tests over all desired cross interactions of input and output parameters beginning for example with a small repository and ending with the maximum complexity of data and schema test. The training data is input into the neural network for the given database application version and utilized to plan resource utilization. A portal or webservice may be utilized to provide an interface to the apparatus.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.