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:
Aug. 25, 2026

Filed:

Sep. 19, 2023
Applicant:

Samsung Sds Co., Ltd., Seoul, KR;

Inventors:

Beumjin Cho, Seoul, KR;

Namsik Ham, Seoul, KR;

Yoonchan Jhi, Seoul, KR;

Jihoon Cho, Seoul, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5044 (2013.01); G06F 11/3495 (2013.01);
Abstract

The present disclosure relates to a method, apparatus, system, and computer program for task deployment in a cloud system including a function accelerator card, and more particularly to a method, apparatus, system, and computer program for task deployment in a cloud system including a function accelerator card, which can efficiently perform task deployment in the cloud system including the function accelerator card to increase the efficiency of the cloud system. In the present disclosure, disclosed is a task deployment method in a cloud system including one or more host servers and one or more function accelerator cards, which is performed by one or more processors in a task deployment apparatus, the task deployment method including: determining the status of each of available resources for the one or more host servers and the one or more function accelerator cards; calculating each of performance estimation values when the task to be deployed is executed in the one or more host servers or the one or more function accelerator cards under the condition of each of the available resources; and selecting the host servers or function accelerator cards in which the task is to be deployed in consideration of each of the performance estimation values.


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