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. 20, 2022

Filed:

Dec. 02, 2019
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Xiaoxu Chen, Beijing, CN;

Feng Liu, Beijing, CN;

Tao Yang, Beijing, CN;

Xiang Gao, Beijing, CN;

Geng Li, Beijing, CN;

Xianghui Zhang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06F 30/27 (2020.01); H04L 67/10 (2022.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 30/27 (2020.01); G06N 20/00 (2019.01); H04L 67/10 (2013.01); G06F 9/5077 (2013.01); G06F 2209/5011 (2013.01);
Abstract

A resource configuration method and apparatus for heterogeneous cloud services are provided. The method may include: establishing a basic model with a general structure for at least two heterogeneous cloud services, where the basic model comprises a trend model and a periodic model; determining a cloud service in the at least two cloud services as a target cloud service, and acquiring a target historical data set of the target cloud service; training the trend model and the periodic model using the target historical data set; generating a target prediction model corresponding to the target cloud service based on the trained trend model and the trained periodic model; and generating, based on the target prediction model, a resource amount demanded by the target cloud service in a future time period, and configuring resources for the target cloud service according to the demanded resource amount.


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