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:
Jun. 28, 2022

Filed:

Oct. 05, 2020
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Vimal Bastin Edwin Joseph, Bangalore, IN;

Karthikeyan Subramaniam, Bangalore, IN;

Parvathi Mahesh Hedathri, Bangalore, IN;

Peeyus Pal, Bangalore, IN;

Karthikeyan Narayanan, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 47/83 (2022.01); H04L 47/72 (2022.01); H04L 41/0893 (2022.01); H04L 41/16 (2022.01); G06N 5/04 (2006.01); G06K 9/62 (2022.01); H04L 41/0896 (2022.01); H04L 47/70 (2022.01);
U.S. Cl.
CPC ...
H04L 47/823 (2013.01); G06K 9/6256 (2013.01); G06N 5/04 (2013.01); H04L 41/0893 (2013.01); H04L 41/0896 (2013.01); H04L 41/16 (2013.01); H04L 47/72 (2013.01);
Abstract

This disclosure relates to deployment of additional workload in the NFV-MANO to efficiently utilize resources during a lean workload period of Virtual Network Functions (VNFs) associated with an intelligent cloud platform. The method comprises measuring, over a time period, a current resource utilization level of one or more rendered VNFs. Thereafter, forecasting future resource utilization for the time period based on predictive analysis criteria and the current resource utilization level of the one or more VNFs. The method further comprises a machine learning based inference for determining whether the forecast future resource utilization for said time period is less than a determined optimal resource utilization threshold value of the one or more VNFs. Thereafter, resources of the one or more VNFs to one or more additional workloads are allocated based on the determination of the future resource utilization.


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