Methods and systems for cloud deployment analysis featuring relative cloud resource importance

• US 8,504,689 B2
• Filed: 05/28/2010
• Issued: 08/06/2013
• 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:
  US12/790,366
• Publication Number:
  US 20110295999A1
• Time in Patent Office: 1,166 Days
• Field of Search: 709223-229, 709/250
• US Class Current: 709/226
• 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 middleware or OS functionality using virtual machines to implement generic software techniques for error detection or fault masking G06F11/1484
• 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

A decision system and methods for providing customized deployment architectures that take into account the importance of various cloud resources. The decision system can monitor the applications and processes executed in the cloud, and collect utilization information identifying the cloud resources used, the amount of usage, and trends in usage. Resource importance data can then be obtained from the utilization information and/or from other sources, such as a system user. The decision system can then generate customized deployment architectures based on the collected utilization information and the resource importance data.

Claims

1. A method, comprising:

obtaining, by a computing system, initial resource usage data representing cloud service consumption by a user;

determining a baseline requirement for cloud resources from the initial resource usage data, the baseline requirement comprising a plurality of resource parameters;

adjusting a configurable logic such that a resource parameter has a different importance than other resource parameters among the plurality of resource parameters;

applying the configurable logic to the baseline requirement for cloud resources to produce an adjusted requirement for cloud resources;

determining a set of cloud resources that have available capacity and that satisfy the adjusted requirement for cloud resources; and

assigning the set of cloud resources to the user.

2. The method of claim 1, wherein obtaining the initial resource usage data comprises:

measuring usage of the cloud resources by the user over a predefined period of time to produce the initial resource usage data.

3. The method of claim 1, wherein obtaining the initial resource usage data comprises:

measuring usage of the cloud resources by the user over a plurality of periods of time to produce a set of measured usage data;

calculating a predicted future usage of the cloud resources by the user from the set of measured usage data; and

utilizing the predicted future usage of the cloud resources as the initial resource usage data.

4. The method of claim 1, wherein determining the baseline requirement for cloud resources comprises:

analyzing the initial resource usage data to identify a set of cloud hardware utilized during the cloud service consumption by the user; and

including data representing the set of cloud hardware in the baseline requirement for cloud resources.

5. The method of claim 1, wherein determining the baseline requirement for cloud resources comprises:

analyzing the initial resource usage data to identify a set of cloud software utilized during the cloud service consumption by the user; and

including data representing the set of cloud software in the baseline requirement for cloud resources.

6. The method of claim 1, wherein the baseline requirement for cloud resources comprises a plurality of resource parameters;

and

wherein applying decision rules comprises;

assigning a weight to a resource parameter among the plurality of resource parameters, wherein the weight indicates that the resource parameter is of a different importance than other resource parameters among the plurality of resource parameters; and

producing the adjusted requirement for cloud resources, wherein the adjusted requirement for cloud resources exhibits the different importance of the resource parameter according to the weight.

7. The method of claim 6, wherein assigning the weight comprises:

receiving the weight from the user.

8. The method of claim 1, further comprising:

readjusting the configurable logic such that the resource parameter has a new different importance than other resource parameters among the plurality of resource parameters;

applying the configurable logic, as readjusted, to the baseline requirement for cloud resources to produce a new adjusted requirement for cloud resources;

determining a new set of cloud resources that have available capacity and that satisfy the new adjusted requirement for cloud resources; and

assigning the new set of cloud resources to the user.

9. A computing system comprising:

a memory; and

a processor, coupled to the memory, the processor to perform operations, comprising;

obtaining initial resource usage data representing cloud service consumption by a user;

determining a baseline requirement for cloud resources from the initial resource usage data, the baseline requirement comprising a plurality of resource parameters;

adjusting a configurable logic such that a resource parameter has a different importance than other resource parameters among the plurality of resource parameters;

applying the configurable logic to the baseline requirement for cloud resources to produce an adjusted requirement for cloud resources;

determining a set of cloud resources that have available capacity and that satisfy the adjusted requirement for cloud resources; and

assigning the set of cloud resources to the user.

10. The computing system of claim 9, wherein obtaining the initial resource usage data comprises:

measuring usage of the cloud resources by the user over a predefined period of time to produce the initial resource usage data.

11. The computing system of claim 9, wherein obtaining the initial resource usage data comprises:

measuring usage of the cloud resources by the user over a plurality of periods of time to produce a set of measured usage data;

calculating a predicted future usage of the cloud resources by the user from the set of measured usage data; and

utilizing the predicted future usage of the cloud resources as the initial resource usage data.

12. The computing system of claim 9, wherein determining the baseline requirement for cloud resources comprises:

analyzing the initial resource usage data to identify a set of cloud hardware utilized during the cloud service consumption by the user; and

including data representing the set of cloud hardware in the baseline requirement for cloud resources.

13. The computing system of claim 9, wherein determining the baseline requirement for cloud resources comprises:

analyzing the initial resource usage data to identify a set of cloud software utilized during the cloud service consumption by the user; and

including data representing the set of cloud software in the baseline requirement for cloud resources.

14. The computing system of claim 9, wherein the baseline requirement for cloud resources comprises a plurality of resource parameters;

and

wherein applying decision rules comprises;

assigning a weight to a resource parameter among the plurality of resource parameters, wherein the weight indicates that the resource parameter is of a different importance than other resource parameters among the plurality of resource parameters; and

producing the adjusted requirement for cloud resources, wherein the adjusted requirement for cloud resources exhibits the different importance of the resource parameter according to the weight.

15. The computing system of claim 14, wherein assigning the weight comprises:

receiving the weight from the user.

16. The computing system of claim 9, wherein the operations further comprise:

readjusting the configurable logic such that the resource parameter has a new different importance than other resource parameters among the plurality of resource parameters;

applying the configurable logic, as readjusted, to the baseline requirement for cloud resources to produce a new adjusted requirement for cloud resources;

determining a new set of cloud resources that have available capacity and that satisfy the new adjusted requirement for cloud resources; and

assigning the new set of cloud resources to the user.

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

obtain initial resource usage data representing cloud service consumption by a user;

determine a baseline requirement for cloud resources from the initial resource usage data, the baseline requirement comprising a plurality of resource parameters;

adjust a configurable logic such that a resource parameter has a different importance than other resource parameters among the plurality of resource parameters;

apply the configurable logic to the baseline requirement for cloud resources to produce an adjusted requirement for cloud resources;

determine a set of cloud resources that have available capacity and that satisfy the adjusted requirement for cloud resources; and

assign the set of cloud resources to the user.

18. The computer-readable non-transitory storage medium of claim 17, wherein obtaining the initial resource usage data comprises:

measuring usage of the cloud resources by the user over a predefined period of time to produce the initial resource usage data.

19. The computer-readable non-transitory storage medium of claim 17, wherein obtaining the initial resource usage data comprises:

measuring usage of the cloud resources by the user over a plurality of periods of time to produce a set of measured usage data;

calculating a predicted future usage of the cloud resources by the user from the set of measured usage data; and

utilizing the predicted future usage of the cloud resources as the initial resource usage data.

20. The computer-readable non-transitory storage medium of claim 17, wherein the executable instructions further cause the computing system to:

readjust the configurable logic such that the resource parameter has a new different importance than other resource parameters among the plurality of resource parameters;

apply the configurable logic, as readjusted, to the baseline requirement for cloud resources to produce a new adjusted requirement for cloud resources;

determine a new set of cloud resources that have available capacity and that satisfy the new adjusted requirement for cloud resources; and

assign the new set of cloud resources to the user.