RESOURCE OPTIMIZATION AND UPDATE METHOD, SERVER, AND DEVICE

• US 20200136988A1
• Filed: 12/27/2019
• Published: 04/30/2020
• Est. Priority Date: 06/27/2017
• Status: Active Grant

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: LIU, Zilong, ZHU, Liangliang, ZENG, Xu, CHEN, Lingjun, WANG, Bin, CAI, Junjie
• Granted Patent: US 11,436,188 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/10 File systems; File servers
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: H04L 47/762 triggered by the network
• CPC Class Codes: H04L 47/781 Centralised allocation of resources
• CPC Class Codes: H04L 47/788 Autonomous allocation of resources
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/303 Terminal profiles
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416

Abstract

Embodiments of the disclosure provide methods and systems for managing resources of a plurality of devices coupled to a server. The method can include acquiring statistical information of the resources of the plurality of devices; determining whether a trigger condition is met; and in response to the determination that trigger condition is met, generating a resource optimization solution for the plurality of devices based on the statistical information.

Claims

1. A method for managing resources of a plurality of devices coupled to a server, comprising:

acquiring statistical information of the resources of the plurality of devices;

determining whether a trigger condition is met; and

in response to the determination that trigger condition is met, generating a resource optimization solution for the plurality of devices based on the statistical information.

2. The method of claim 1, wherein the statistical information comprises at least one of device category information or attribute category information, and generating the resource optimization solution for the plurality of devices based on the statistical information further comprises:

classifying the statistical information of the resources of the plurality of devices into at least one group of statistical information based on a device category and an attribute category of the plurality of devices;

performing optimization analysis on each of the at least one group of statistical information to generate an analysis result; and

generating the resource optimization solution based on the analysis result of the device category.

3. The method of claim 2, wherein the attribute category further comprises a storage space detection category, and statistical information associated with the storage space detection category comprises storage space statistical information, the storage space statistical information comprises at least one of a task name, a storage space size, or a used space size;

and performing the optimization analysis on each of the at least one group of statistical information to generate the analysis result further comprises;

determining a plurality of used space sizes of devices in a same storage space detection category;

determining, among the plurality of used space sizes, a maximum used space size in a same device category performing a same task in a storage space; and

adjusting a size of the storage space based on the maximum used space size.

4. The method of claim 3, wherein adjusting the size of the storage space based on the maximum used space size further comprises:

determining a ratio of the maximum used space size to the size of the storage space to obtain a maximum usage rate;

if the maximum usage rate is less than a usage rate threshold, increasing the maximum usage rate by a redundancy usage rate to generate an updated usage rate; and

determining an updated size of the storage space based on the updated usage rate and the size of the storage space.

5. The method of claim 3, wherein the attribute category further comprises a storage space overflow detection category, and statistical information associated with the storage space overflow detection category further comprises storage space overflow statistical information, the storage space overflow statistical information comprises at least one of a task name of a task, an identifier of a storage space associated with the task, and a start address of a storage space overflow, and performing the optimization analysis on each of the at least one group of statistical information to generate the analysis result further comprises:

obtaining, based on the storage space overflow statistical information, a plurality of overflow space sizes of devices in a same device category;

determining, among the plurality of overflow space sizes, a maximum overflow space size in a same device category performing a same task in a storage space; and

expanding a size of the storage space according to the maximum overflow space size.

6. The method of claim 5, wherein the storage space comprises a stack, and the storage space statistical information comprises stack statistical information, and the storage space overflow statistical information comprises stack overflow statistical information.

7. The method of claim 1, wherein the trigger condition comprises at least one of:

a size of the collected statistical information reaching a quantity threshold, a size of the collected statistical information reaching a preset data size threshold, or a collection time for the collected statistical information reaching a time threshold.

8. The method of claim 1, further comprising:

providing the resource optimization solution, wherein providing the resource optimization solution further comprises;

providing the resource optimization solution to an optimizer in an easy-to-read form;

or

providing the resource optimization solution to an automatic processing program in an easy-to-automate form.

9. A server for managing resources of a plurality of devices coupled to the server, comprising:

a memory storing a set of instructions; and

at least one processor configured to execute the set of instructions to cause the server to perform;

acquiring statistical information of the resources of the plurality of devices;

determining whether a trigger condition is met; and

in response to the determination that trigger condition is met, generating a resource optimization solution for the plurality of devices based on the statistical information.

10. The server of claim 9, wherein the statistical information comprises at least one of device category information or attribute category information, and generating the resource optimization solution for the plurality of devices based on the statistical information further comprises:

classifying the statistical information of the resources of the plurality of devices into at least one group of statistical information based on a device category and an attribute category of the plurality of devices;

performing optimization analysis on each of the at least one group of statistical information to generate an analysis result; and

generating the resource optimization solution based on the analysis result of the device category.

11. The server of claim 10, wherein the attribute category further comprises a storage space detection category, and statistical information associated with the storage space detection category comprises storage space statistical information, the storage space statistical information comprises at least one of a task name, a storage space size, or a used space size;

and performing the optimization analysis on each of the at least one group of statistical information to generate the analysis result further comprises;

determining a plurality of used space sizes of devices in a same storage space detection category;

determining, among the plurality of used space sizes, a maximum used space size in a same device category performing a same task in a storage space; and

adjusting a size of the storage space based on the maximum used space size.

12. The server of claim 11, wherein adjusting the size of the storage space based on the maximum used space size further comprises:

determining a ratio of the maximum used space size to the size of the storage space to obtain a maximum usage rate;

if the maximum usage rate is less than a usage rate threshold, increasing the maximum usage rate by a redundancy usage rate to generate an updated usage rate; and

determining an updated size of the storage space based on the updated usage rate and the size of the storage space.

13. The server of claim 11, wherein the attribute category further comprises a storage space overflow detection category, and statistical information associated with the storage space overflow detection category further comprises storage space overflow statistical information, the storage space overflow statistical information comprises at least one of a task name of a task, an identifier of a storage space associated with the task, and a start address of a storage space overflow, and performing the optimization analysis on each of the at least one group of statistical information to generate the analysis result further comprises:

obtaining, based on the storage space overflow statistical information, a plurality of overflow space sizes of devices in a same device category;

determining, among the plurality of overflow space sizes, a maximum overflow space size in a same device category performing a same task in a storage space; and

expanding a size of the storage space according to the maximum overflow space size.

14. The server of claim 13, wherein the storage space comprises a stack, and the storage space statistical information comprises stack statistical information, and the storage space overflow statistical information comprises stack overflow statistical information.

15. The server of claim 9, wherein the trigger condition comprises at least one of:

a size of the collected statistical information reaching a quantity threshold, a size of the collected statistical information reaching a preset data size threshold, or a collection time for the collected statistical information reaching a time threshold.

16. The server of claim 9, further comprising:

providing the resource optimization solution.

17. The server of claim 16, wherein providing the resource optimization solution further comprises:

providing the resource optimization solution to an optimizer in an easy-to-read form;

or

providing the resource optimization solution to an automatic processing program in an easy-to-automate form.

18. A non-transitory computer readable medium that stores a set of instructions that is executable by at least one processor of a server to cause the server to perform a method for managing resources of a plurality of devices coupled to the server, the method comprising:

acquiring statistical information of the resources of the plurality of devices;

determining whether a trigger condition is met; and

in response to the determination that trigger condition is met, generating a resource optimization solution for the plurality of devices based on the statistical information.