Granted Patent B2

US 12,530,241 · App. 18/676,628 · Granted Jan 20, 2026

Inventors: Haomin Cai (Hangzhou, CN); Rui Jing (Hangzhou, CN); Zhongkai Lei (Hangzhou, CN); Jingxiao Lu (Hangzhou, CN)

Assignee: HUAWEI TECHNOLOGIES CO., LTD.

G06F9/5072H04L67/10

Abstract

Claims (53)

1 . A cloud instance scale-up method, wherein the method is applied to a cloud service system that comprises a first worker node on which a plurality of cloud instances are deployed, and the method comprises:

obtaining, by the first worker node, status information of the plurality of cloud instances;

determining, by the first worker node based on the status information, a to-be-scaled-up cloud instance from the plurality of cloud instances and a quantity of resources required for scale-up; and

if a quantity of idle resources of the first worker node is greater than or equal to the quantity of resources required for scale-up, increasing, by the first worker node, a resource quota of the to-be-scaled-up cloud instance based on the quantity of resources required for scale-up.

2 . The method according to claim 1 , wherein the determining, by the first worker node based on the status information, a to-be-scaled-up cloud instance from the plurality of cloud instances and a quantity of resources required for scale-up comprises:

determining, by the first worker node, a cloud instance whose status information meets a preset scale-up condition as the to-be-scaled-up cloud instance; and

determining, by the first worker node, the quantity of resources required for scale-up based on status information of the to-be-scaled-up cloud instance.

3 . The method according to claim 2 , wherein the status information comprises at least one of: a resource utilization rate, a load degree, and a service success rate.

4 . The method according to claim 3 , wherein the preset scale-up condition comprises at least one of: the resource utilization rate is greater than or equal to a preset first resource utilization rate, the load degree is greater than or equal to a preset first load degree, and the service success rate is less than a preset first service success rate.

5 . The method according to claim 1 , wherein the cloud service system further comprises a second worker node, and the method further comprises:

if the quantity of idle resources of the first worker node is less than the quantity of resources required for scale-up, determining, by the first worker node, a to-be-migrated cloud instance from the plurality of cloud instances, wherein a priority of a service running on the to-be-migrated cloud instance is lower than a preset priority;

migrating, by the first worker node, the to-be-migrated cloud instance to the second worker node, and correspondingly updating the quantity of idle resources of the first worker node; and

if an updated quantity of idle resources of the first worker node is greater than or equal to the quantity of resources required for scale-up, increasing, by the first worker node, a resource quota of the to-be-scaled-up cloud instance based on the quantity of resources required for scale-up.

6 . The method according to claim 5 , wherein the cloud service system further comprises a third worker node, and the method further comprises:

if the updated quantity of idle resources of the first worker node is less than the quantity of resources required for scale-up, detecting, by the first worker node, a type of a service running on the to-be-scaled-up cloud instance;

if the service running on the to-be-scaled-up cloud instance is a stateless application, creating, by the first worker node, a new cloud instance on the third worker node, and the new cloud instance and the to-be-scaled-up cloud instance are jointly used to run the stateless application; and

if the service running on the to-be-scaled-up cloud instance is a stateful application, migrating, by the first worker node, the to-be-scaled-up cloud instance to the third worker node.

7 . The method according to claim 6 , wherein the migration is a cold migration or a hot migration.

8 . The method according to claim 1 , wherein the cloud service system further comprises a master node, and after the increasing, by the first worker node, a resource quota of the to-be-scaled-up cloud instance, the method further comprises:

sending, by the first worker node, the resource quota of the to-be-scaled-up cloud instance to the master node.

9 . A cloud instance scale-down method, wherein the method is applied to a cloud service system that comprises a first worker node on which a plurality of cloud instances are deployed, and the method comprises:

obtaining, by the first worker node, status information of the plurality of cloud instances;

determining, by the first worker node, a to-be-scaled-down cloud instance from the plurality of cloud instances based on the status information;

releasing, by the first worker node, idle resources of the to-be-scaled-down cloud instance, and determining a quantity of released idle resources of the to-be-scaled-down cloud instance; and

decreasing, by the first worker node, a resource quota of the to-be-scaled-down cloud instance based on the quantity of idle resources of the to-be-scaled-down cloud instance.

10 . The method according to claim 9 , wherein the determining, by the first worker node, a to-be-scaled-down cloud instance from the plurality of cloud instances based on the status information comprises:

determining, by the first worker node, a cloud instance whose status information meets a preset scale-down condition as a to-be-scaled-down cloud instance from the plurality of cloud instances.

11 . The method according to claim 9 , wherein the status information comprises at least one of: a resource utilization rate, a load degree, and a service success rate.

12 . The method according to claim 11 , wherein the preset scale-down condition comprises at least one of: the resource utilization rate is less than a preset second resource utilization rate, the load degree is less than a preset second load degree, and the service success rate is greater than or equal to a preset second service success rate.

13 . The method according to claim 9 , wherein the cloud service system further comprises a master node, and after the decreasing, by the first worker node, a resource quota of the to-be-scaled-down cloud instance based on the quantity of idle resources of the to-be-scaled-down cloud instance, the method further comprises:

sending, by the first worker node, the resource quota of the to-be-scaled-down cloud instance to the master node.

14 . A worker node configured to operate in a cloud service system, the worker node comprising a memory and a processor, wherein the memory stores program code, and the processor is configured to execute the program code to perform operations comprising:

obtaining status information of a plurality of cloud instances deployed on the worker node;

determining, based on the status information, a to-be-scaled-up cloud instance from the plurality of cloud instances and a quantity of resources required for scale-up; and

if a quantity of idle resources of the worker node is greater than or equal to the quantity of resources required for scale-up, increasing a resource quota of the to-be-scaled-up cloud instance based on the quantity of resources required for scale-up.

15 . The worker node according to claim 14 , wherein the determining, based on the status information, a to-be-scaled-up cloud instance from the plurality of cloud instances and a quantity of resources required for scale-up comprises:

determining a cloud instance whose status information meets a preset scale-up condition as a to-be-scaled-up cloud instance from the plurality of cloud instances; and

determining the quantity of resources required for scale-up based on status information of the to-be-scaled-up cloud instance.

16 . The worker node according to claim 14 , wherein the cloud service system further comprises a second worker node, and the processor is configured to perform operations further comprising:

if the quantity of idle resources of the first-worker node is less than the quantity of resources required for scale-up, determining a to-be-migrated cloud instance from the plurality of cloud instances, wherein a priority of a service running on the to-be-migrated cloud instance is lower than a preset priority;

migrating the to-be-migrated cloud instance to the second worker node, to update the quantity of idle resources of the worker node; and

if an updated quantity of idle resources of the worker node is greater than or equal to the quantity of resources required for scale-up, increasing a resource quota of the to-be-scaled-up cloud instance based on the quantity of resources required for scale-up.

17 . The worker node according to claim 16 , wherein the cloud service system further comprises a third worker node, and the operations further comprise:

if the updated quantity of idle resources of the worker node is less than the quantity of resources required for scale-up, detecting a type of a service running on the to-be-scaled-up cloud instance;

if the service running on the to-be-scaled-up cloud instance is a stateless application, creating a new cloud instance on the third worker node, and the new cloud instance and the to-be-scaled-up cloud instance are jointly used to run the stateless application; and

if the service running on the to-be-scaled-up cloud instance is a stateful application, migrating the to-be-scaled-up cloud instance to the third worker node.

18 . A worker node configured to operate in a cloud service system, the worker node comprises a memory and a processor, wherein the memory stores program code, and the processor is configured to execute the program code to perform operations comprising:

obtaining status information of a plurality of cloud instances deployed on the worker node;

determining a to-be-scaled-down cloud instance from the plurality of cloud instances based on the status information;

releasing idle resources of the to-be-scaled-down cloud instance, and determining a quantity of released idle resources of the to-be-scaled-down cloud instance; and

decreasing a resource quota of the to-be-scaled-down cloud instance based on the quantity of idle resources of the to-be-scaled-down cloud instance.

19 . A non-transitory computer storage medium storing one or more instructions that, when executed by one or more computers, cause the one or more computers to perform the method according to claim 1 .

20 . A non-transitory computer program product storing instructions that, when executed by a computer, cause the computer to perform the method according to claim 1 .

Assignments (1)

Priority Claims (1)

Continuity (2)

References Cited (13)