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:
Sep. 24, 2024

Filed:

Sep. 07, 2021
Applicant:

Korea Electronics Technology Institute, Seongnam-si, KR;

Inventors:

Jae Hoon An, Incheon, KR;

Young Hwan Kim, Yongin-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 9/38 (2018.01);
U.S. Cl.
CPC ...
G06F 9/5077 (2013.01); G06F 9/3891 (2013.01); G06F 9/5005 (2013.01);
Abstract

There are provided a cloud management method and a cloud management apparatus for rapidly scheduling arrangements of service resources by considering equal distribution of resources in a large-scale container environment of a distributed collaboration type. The cloud management method according to an embodiment includes: receiving, by a cloud management apparatus, a resource allocation request for a specific service; monitoring, by the cloud management apparatus, available resource current statuses of a plurality of clusters, and selecting a cluster that is able to be allocated a requested resource; calculating, by the cloud management apparatus, a suitable score with respect to each of the selected clusters; and selecting, by the cloud management apparatus, a cluster that is most suitable to the requested resource for executing a requested service from among the selected clusters, based on the respective suitable scores. Accordingly, for the method for determining equal resource arrangements between associative clusters according to characteristics of a required resource, a model for selecting a candidate group and finally selecting a cluster that is suitable to a required resource can be supported.


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