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:
Nov. 29, 2022

Filed:

Mar. 04, 2020
Applicant:

Fujitsu Limited, Kawasaki, JP;

Inventors:

Takashi Shiraishi, Atsugi, JP;

Shigeto Suzuki, Kawasaki, JP;

Koichi Shirahata, Yokohama, JP;

Assignee:

FUJITSU LIMITED, Kawasaki, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 9/48 (2006.01); G06F 1/3206 (2019.01); G06K 9/62 (2022.01); G06K 9/00 (2022.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06F 9/4893 (2013.01); G06F 1/3206 (2013.01); G06F 17/18 (2013.01); G06K 9/00543 (2013.01); G06K 9/623 (2013.01); G06K 9/6215 (2013.01);
Abstract

A scheduler includes circuitry configured to, based on similarity between execution time and power consumption information of jobs executed in a system, classifies jobs into groups, construct respective time series prediction models for the groups using a power waveform included in each of the groups as teacher data, predict a power waveform at an interval including a first time from each of the constructed time series prediction models, compare a power waveform at an interval including a first time of a job in execution for which power is to be predicted with the predicted power waveform of each of the groups to identify a similar time series prediction model, based on the identified time series prediction model, predict power consumption at a predetermined interval including a second time for the job for which power is to be predicted, and control job execution based on the predicted power consumption.


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