Method, device and computer program product for scheduling multi-cloud system

• US 10,757,190 B2
• Filed: 03/06/2019
• Issued: 08/25/2020
• 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
• Primary Examiner(s): Miah, Razu A
• Application Number:
  US16/294,512
• Publication Number:
  US 20190327303A1
• Time in Patent Office: 538 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

A computer-implemented 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.

Claims

1. A computer-implemented method, comprising:

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

obtaining history information corresponding to the application from each of the plurality of cloud systems that has previously run the application;

based at least in part on a determination that the history information has been obtained from each cloud system of the plurality of cloud systems;

comparing the history information obtained from each of the plurality of cloud systems that has previously run the application to the application information;

matching the application to a first cloud system of the plurality of cloud systems based at least in part on the comparison, the matching comprising;

determining that a difference between a value of at least one parameter of the history information of the first cloud system and a value of at least one corresponding parameter of the application information is smaller than a difference between a value of the at least one parameter of the history information of at least one other cloud system and the value of the at least one corresponding parameter of the application information based at least in part on the comparison; and

assigning the application to the first cloud system based at least in part on the determination that the difference is smaller;

scheduling the application to run on the first cloud system based at least in part on the matching of the application to the first cloud system; and

based at least in part on a determination that the history information has not been obtained from at least one of the plurality of cloud systems, scheduling the application to run on a second cloud system of the plurality of cloud systems.

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 of the plurality of cloud systems.

4. The method of claim 1, further comprising:

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

predicting, based at last in part on the history duration, a duration for the first cloud system to run the application.

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

determining an identifier and a workload of the application.

6. 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.

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

obtain history information corresponding to the application from each of the plurality of cloud systems that has previously run the application;

based at least in part on a determination that the history information has been obtained from each cloud system of the plurality of cloud systems;

compare the history information obtained from each of the plurality of cloud systems that has previously run the application to the application information;

match the application to a first cloud system of the plurality of cloud systems based at least in part on the comparison, the matching comprising;

determining that a difference between a value of at least one parameter of the history information of the first cloud system and a value of at least one corresponding parameter of the application information is smaller than a difference between a value of the at least one parameter of the history information of at least one other cloud system and the value of the at least one corresponding parameter of the application information based at least in part on the comparison; and

assigning the application to the first cloud system based at least in part on the determination that the difference is smaller;

schedule the application to run on the first cloud system based at least in part on the matching of the application to the first cloud system; and

based at least in part on a determination that the history information has not been obtained from at least one of the plurality of cloud systems, schedule the application to run on a second cloud system of the plurality of cloud systems.

8. The electronic device of claim 7, 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.

9. The electronic device of claim 7, wherein the second cloud system is selected randomly from the at least one of the plurality of cloud systems.

10. The electronic device of claim 7, 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 at last in part on the history duration, a duration for the first cloud system to run the application.

11. The electronic device of claim 7, 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.

12. The electronic device of claim 7, 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.

13. A computer program product comprising a non-transitory computer readable medium having stored therein machine executable instructions which, when executed by at least one processing device comprising at least one processor and memory, causes the at least one processing device to perform steps of a method comprising:

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

obtaining history information corresponding to the application from each of the plurality of cloud systems that has previously run the application;

based at least in part on a determination that the history information has been obtained from each cloud system of the plurality of cloud systems;

comparing the history information obtained from each of the plurality of cloud systems that has previously run the application to the application information;

matching the application to a first cloud system of the plurality of cloud systems based at least in part on the comparison, the matching comprising;

determining that a difference between a value of at least one parameter of the history information of the first cloud system and a value of at least one corresponding parameter of the application information is smaller than a difference between a value of the at least one parameter of the history information of at least one other cloud system and the value of the at least one corresponding parameter of the application information based at least in part on the comparison; and

assigning the application to the first cloud system based at least in part on the determination that the difference is smaller;

scheduling the application to run on the first cloud system based at least in part on the matching of the application to the first cloud system; and

based at least in part on a determination that the history information has not been obtained from at least one of the plurality of cloud systems, scheduling the application to run on a second cloud system of the plurality of cloud systems.

14. The computer program product of claim 13, 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.

15. The computer program product of claim 13, wherein the second cloud system is selected randomly from the at least one of the plurality of cloud systems.

16. The computer program product of claim 13, wherein the steps of the method further comprise:

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

predicting, based at last in part on the history duration, a duration for the first cloud system to run the application.

17. The computer program product of claim 13, wherein obtaining the application information comprises:

determining an identifier and a workload of the application.