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:
Jul. 09, 2024

Filed:

Nov. 12, 2021
Applicant:

Huawei Technologies Co., Ltd., Guangdong, CN;

Inventors:

Guoliang Li, Beijing, CN;

Sihao Li, Shenzhen, CN;

Jinyu Zhang, Beijing, CN;

Yahui Dong, Beijing, CN;

Pinggao Zhou, Beijing, CN;

Shifu Li, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2453 (2019.01); G06F 11/14 (2006.01); G06F 11/34 (2006.01); G06F 16/2455 (2019.01); G06F 16/25 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24542 (2019.01); G06F 11/1423 (2013.01); G06F 11/3433 (2013.01); G06F 16/2455 (2019.01); G06F 16/256 (2019.01);
Abstract

Some embodiments provide a microservice component-based database system, to split a database kernel into microservice components that can be enabled and run independently and whose functions are decoupled, and implement flexible database assembly and management. The microservice component can be deployed based on a system resource and a service form. The components can collaborate with each other by using a lightweight communication mechanism. A component manager provides capabilities such as registration and deregistration of a service component, component resource management, component fault tolerance, and component upgrade, to implement dynamic management of the component in a running environment. A job scheduler selects, based on a job submitted by a user, an optimal execution path including a plurality of components, and performs resource management and scheduling in a job execution process, to implement load balancing and high availability.


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