Neural network resource sizing apparatus for database...

Details Neural network resource sizing apparatus for database... Neural network resource sizing apparatus for database...

2006-07-13

2011-11-01

Gaffin, Jeffrey A (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C709S226000, C713S100000

Reexamination Certificate

active

08051019

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.

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