The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 30, 2021

Filed:

Apr. 27, 2017
Applicant:

Nec Corporation, Tokyo, JP;

Inventors:

Masato Asahara, Tokyo, JP;

Akihiro Yabe, Tokyo, JP;

Kyota Kanno, Tokyo, JP;

Ryohei Fujimaki, Tokyo, JP;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/48 (2006.01); G06N 20/00 (2019.01); G06F 11/34 (2006.01); G06F 9/50 (2006.01); G06N 5/00 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06F 9/4881 (2013.01); G06F 9/4843 (2013.01); G06F 9/50 (2013.01); G06F 9/5038 (2013.01); G06F 9/5061 (2013.01); G06F 11/3419 (2013.01); G06F 11/3447 (2013.01); G06F 11/3452 (2013.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06F 2209/503 (2013.01); G06F 2209/5022 (2013.01);
Abstract

A computational resource management device uses a measured value of an execution time of data processing, a measured value of a resource amount, and a feature of input data as training data to learn a model indicating a relationship between the execution time and the resource. The device inputs, into the model, a feature of data scheduled to be input to calculate an estimated value of the execution time of the scheduled data processing, and uses the estimated value of the execution time, a variation index indicating variation in the estimated value of the execution time, and distribution of estimated residuals to calculate a resource amount required in the scheduled data processing. The device creates an execution plan of the scheduled data processing, based on the estimated value of the execution time, the variation index, the distribution of estimated residuals, and the calculated resource amount.


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