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:
Apr. 08, 2025

Filed:

Jul. 30, 2019
Applicant:

Fu Zhou University, Minhou County, CN;

Inventors:

Xing Chen, Fujian, CN;

Haijiang Wang, Fujian, CN;

Fangning Zhu, Fujian, CN;

Assignee:

FU ZHOU UNIVERSITY, Fujian, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 41/14 (2022.01); H04L 41/5009 (2022.01); H04L 43/55 (2022.01); H04L 47/70 (2022.01); H04L 47/83 (2022.01);
U.S. Cl.
CPC ...
H04L 47/83 (2022.05); H04L 41/145 (2013.01); H04L 41/5009 (2013.01); H04L 43/55 (2022.05); H04L 47/82 (2013.01);
Abstract

The present invention relates to a cloud software service resource allocation method based on QoS model self-correction, the method comprising: step S1: performing online self-learning to obtain a QoS prediction model; step S2: collecting runtime data under a certain workload, and improving the accuracy of the QoS prediction model under a current workload through self-correction control; step S3: constructing a fitness function in combination with the quality of service (QoS) and the cloud resource cost (Cost), and searching for a target resource allocation scheme by using an improved particle swarm optimization algorithm; step S4: comparing the current resource allocation situation with the searched target resource allocation scheme to obtain a difference therebetween, and then adjusting resources according to a certain proportion; and step S5: repeating steps S2 to S4 until the current resource allocation situation is the same as the target resource allocation scheme which means that resource adjustment is completed. The present invention can realize a best resource allocation when the QoS prediction model is inaccurate.


Find Patent Forward Citations

Chen, Xing. (2025). Cloud software service resource allocation method based on qos model self-correction (U.S. Patent No. 12273279). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12273279

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