METHOD, DEVICE AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING MULTI-CLOUD SYSTEM

• US 20190327303A1
• Filed: 03/06/2019
• Published: 10/24/2019
• Est. Priority Date: 04/20/2018
• Status: Active Grant

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Inventors: Chen, Fei, Liu, Fucai, Wang, Kun
• Granted Patent: US 10,757,190 B2
• Time in Patent Office: Days
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30
• CPC Class Codes: H04L 67/1027 Persistence of sessions during load balancing
• 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 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]

Abstract

Embodiments of the present disclosure provide a computer-implemented method, an electronic device and a computer program product. The method comprises: obtaining information of an application to be run by one of a plurality of cloud systems; obtaining history information resulted from the plurality of cloud systems running the application; in response to presence of the history information resulted from each of the plurality of cloud systems, scheduling the application to a first cloud system whose history information is matched with the obtained information for running the application; and in response to lack of the history information resulted from at least one of the plurality of cloud systems, scheduling the application to a second cloud system of the at least one cloud system. Embodiments of the present disclosure can optimize the scheduling result of the scheduler of a cloud system and enhance user experience.

Claims

1. A computer-implemented method, comprising:

obtaining information of an application to be run by one of a plurality of cloud systems;

obtaining history information resulted from the plurality of cloud systems running the application;

in response to presence of the history information resulted from each of the plurality of cloud systems, scheduling the application to a first cloud system whose history information is matched with the obtained information for running the application; and

in response to lack of the history information resulted from at least one of the plurality of cloud systems, scheduling the application to a second cloud system of the at least one cloud system.

2. The method of claim 1, further comprising:

updating the history information based on running of the application on at least one of the plurality of cloud systems.

3. The method of claim 1, wherein the second cloud system is selected randomly from the at least one cloud system.

4. The method of claim 1, wherein scheduling the application to the first cloud system comprises:

determining history information having a highest matching degree with the information;

determining that the history information is resulted from the first cloud system running the application; and

assigning the application to the first cloud system.

5. The method of claim 1, further comprising:

determining, from the history information, a history duration for running the application; and

predicting, based on the history duration, a duration for the first cloud system running the application.

6. The method of claim 1, wherein obtaining the information comprises:

determining an identifier and a workload of the application.

7. The method of claim 1, wherein the history information comprises at least one of the following:

an identifier of a run application, an identifier of a cloud system that ran an application, a workload of an application, a running duration of an application, and whether an application needs to keep running until terminated by a user.

8. An electronic device, comprising:

at least one processor; and

at least one memory including computer program instructions, the at least one memory and the computer program instructions being configured to, together with the at least one processor, cause the electronic device to;

obtain information of an application to be run by one of a plurality of cloud systems;

obtain history information resulted from the plurality of cloud systems running the application;

in response to presence of the history information resulted from each of the plurality of cloud systems, schedule the application to a first cloud system whose history information is matched with the obtained information for running the application; and

in response to lack of the history information resulted from at least one of the plurality of cloud systems, schedule the application to a second cloud system of the at least one cloud system.

9. The electronic device of claim 8, wherein the at least one memory and the computer program instructions are further configured to, together with the at least one processor, cause the electronic device to:

update the history information based on running of the application on at least one of the plurality of cloud systems.

10. The electronic device of claim 8, wherein the second cloud system is selected randomly from the at least one cloud system.

11. The electronic device of claim 8, wherein the at least one memory and the computer program instructions are further configured to, together with the at least one processor, cause the electronic device to:

determine history information having a highest matching degree with the information;

determine that the history information is resulted from the first cloud system running the application; and

assign the application to the first cloud system.

12. The electronic device of claim 8, wherein the at least one memory and the computer program instructions are further configured to, together with the at least one processor, cause the electronic device to:

determine, from the history information, a history duration for running the application; and

predict, based on the history duration, a duration for the first cloud system running the application.

13. The electronic device of claim 8, wherein the at least one memory and the computer program instructions are further configured to, together with the at least one processor, cause the electronic device to:

determine an identifier and a workload of the application.

14. The electronic device of claim 8, wherein the history information comprises at least one of the following:

an identifier of a run application, an identifier of a cloud system that ran an application, a workload of an application, a running duration of an application, and whether an application needs to keep running until terminated by a user.

15. A computer program product tangibly stored on a non-transitory computer readable medium and including machine executable instructions which, when executed, cause the machine to perform steps of a method comprising:

obtaining information of an application to be run by one of a plurality of cloud systems;

obtaining history information resulted from the plurality of cloud systems running the application;

in response to presence of the history information resulted from each of the plurality of cloud systems, scheduling the application to a first cloud system whose history information is matched with the obtained information for running the application; and

in response to lack of the history information resulted from at least one of the plurality of cloud systems, scheduling the application to a second cloud system of the at least one cloud system.

16. The computer program product of claim 15, wherein the steps of the method further comprise:

updating the history information based on running of the application on at least one of the plurality of cloud systems.

17. The computer program product of claim 15, wherein the second cloud system is selected randomly from the at least one cloud system.

18. The computer program product of claim 15, wherein scheduling the application to the first cloud system comprises:

determining history information having a highest matching degree with the information;

determining that the history information is resulted from the first cloud system running the application; and

assigning the application to the first cloud system.

19. The computer program product of claim 15, wherein the steps of the method further comprise:

determining, from the history information, a history duration for running the application; and

predicting, based on the history duration, a duration for the first cloud system running the application.

20. The computer program product of claim 15, wherein obtaining the information comprises:

determining an identifier and a workload of the application.