Provisioning cloud resources in view of weighted importance indicators

• US 9,419,913 B2
• Filed: 07/15/2013
• Issued: 08/16/2016
• Est. Priority Date: 05/28/2010
• Status: Active Grant

• Current Assignee: Red Hat, Inc. (International Business Machines Corporation)
• Original Assignee: Red Hat, Inc. (International Business Machines Corporation)
• Inventors: Ferris, James Michael, Riveros, Gerry Edward
• Primary Examiner(s): Maung, Zarni
• Application Number:
  US13/942,268
• Publication Number:
  US 20130304925A1
• Time in Patent Office: 1,128 Days
• Field of Search: 709/203, 709223-229, 709/250
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/3051 Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs verification or detection of system hardware configuration G06F11/2247
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/815 Virtual
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]

Abstract

Cloud resource provisioning is described. A cloud resource provisioning method may include obtaining cloud resource usage data by a process, wherein the cloud resource usage data identifies a cloud resource consumed by the process and a usage level associated with the cloud resource. The method may also include assigning an importance indicator to the cloud resource, and identifying a recommended cloud resource having available capacity with respect to the usage level in view of the importance indicator.

Claims

1. A method, comprising:

receiving, by a processor, cloud resource usage data by an application, the cloud resource usage data identifying a first cloud resource consumed by the application, a first usage level associated with the first cloud resource, a second cloud resource consumed by the application, and a second usage level associated with the second cloud resource;

assigning a first weighted importance indicator to the first cloud resource;

assigning a second weighted importance indicator to the second cloud resource, wherein the first and second weighted importance indicators indicate a preference for the first cloud resource over a second cloud resource; and

causing, by the processor, the first cloud resource to be provisioned, in view of the first weighed important indicator, at least at the first usage level, and the second cloud resource to be provisioned, in view of the second weighed important indicator, at a reduced usage level below the second usage level.

2. The method of claim 1, wherein assigning the first weighted importance indicator to the first cloud resource further comprises:

determining a predicted future usage level of the first cloud resource in view of the cloud resource usage data; and

determining the first weighted importance indicator in view of the predicted future usage level.

3. The method of claim 1, wherein the first cloud resource comprises at least one of:

a hardware resource or a software resource.

4. The method of claim 1, further comprising:

receiving the first weighted importance indicator via a user interface.

5. The method of claim 1, wherein causing the first cloud resource and the second cloud resource to be provisioned further comprises:

identifying a deployment architecture having available capacity of the first cloud resource exceeding the first usage level, the deployment architecture further having available capacity of the second cloud resource below the second usage level.

6. The method of claim 1, wherein the resource usage data comprises resource availability data.

7. The method of claim 1, wherein the resource usage data reflects a period of time during which the first cloud resource has been utilized at a utilization level exceeding a certain threshold utilization level.

8. A system, comprising:

a memory; and

a processor operatively coupled to the memory, to;

receive cloud resource usage data by an application, the cloud resource usage data identifying a first cloud resource consumed by the application, a first usage level associated with the first cloud resource, a second cloud resource consumed by the application, and a second usage level associated with the second cloud resource;

assign a first weighted importance indicator to the first cloud resource;

assign a second weighted importance indicator to the second cloud resource, wherein the first and second weighted importance indicators indicate a preference for the first cloud resource over a second cloud resource; and

cause the first cloud resource to be provisioned, in view of the first weighed important indicator, at least at the first usage level, and the second cloud resource to be provisioned, in view of the second weighed important indicator, at a reduced usage level below the second usage level.

9. The system of claim 8, wherein to assign the first weighted importance indicator to the first cloud resource, the processor is further to:

determine a predicted future usage level of the first cloud resource in view of the cloud resource usage data; and

determine the first weighted importance indicator in view of the predicted future usage level.

10. The system of claim 8, wherein the first cloud resource comprises at least one of:

a hardware resource or a software resource.

11. The system of claim 8, wherein the processor is further to receive the first weighted importance indicator via a user interface.

12. The system of claim 8, wherein to cause the first cloud resource and the second cloud resource to be provisioned, the processor is further to:

identify a deployment architecture having available capacity of the first cloud resource exceeding the first usage level, the deployment architecture further having available capacity of the second cloud resource below the second usage level.

13. The system of claim 8, wherein the resource usage data comprises resource availability data.

14. The system of claim 8, wherein the resource usage data reflects a period of time during which the first cloud resource has been utilized at a utilization level exceeding a certain threshold utilization level.

15. A computer-readable non-transitory storage medium comprising executable instructions that, when executed by a processor, cause the processor to:

receive, by the processor, cloud resource usage data by an application, the cloud resource usage data identifying a first cloud resource consumed by the application, a first usage level associated with the first cloud resource, a second cloud resource consumed by the application, and a second usage level associated with the second cloud resource;

assign a first weighted importance indicator to the first cloud resource;

assign a second weighted importance indicator to the second cloud resource, wherein the first and second weighted importance indicators indicate a preference for the first cloud resource over a second cloud resource; and

cause, by the processor, the first cloud resource to be provisioned, in view of the first weighed important indicator, at least at the first usage level, and the second cloud resource to be provisioned, in view of the second weighed important indicator, at a reduced usage level below the second usage level.

16. The computer-readable non-transitory storage medium of claim 15, wherein the executable instructions causing the processor to assign the first weighted importance indicator to the first cloud resource further comprise executable instructions to cause the processor to:

determine a predicted future usage level of the cloud resource in view of the cloud resource usage data; and

determine the first weighted importance indicator in view of the predicted future usage level.

17. The computer-readable non-transitory storage medium of claim 15, wherein the executable instructions causing the processor to cause the first cloud resource and the second cloud resource to be provisioned further comprise executable instructions to cause the processor to:

identify a deployment architecture having available capacity of the first cloud resource exceeding the first usage level, the deployment architecture further having available capacity of the second cloud resource below the second usage level.

18. The computer-readable non-transitory storage medium of claim 15, wherein the first cloud resource comprises at least one of:

a hardware resource or a software resource.

19. The computer-readable non-transitory storage medium of claim 15, further comprising executable instructions to cause the processor to:

receive the first weighted importance indicator via a user interface.

20. The computer-readable non-transitory storage medium of claim 15, wherein the resource usage data reflects a period of time during which the first cloud resource has been utilized at a utilization level exceeding a certain threshold utilization level.