Optimizing service factors for computing resources in a networked computing environment

• US 9,251,517 B2
• Filed: 08/28/2012
• Issued: 02/02/2016
• Est. Priority Date: 08/28/2012
• Status: Active Grant

• Current Assignee: Taiwan Semiconductor Manufacturing Company Limited
• Original Assignee: International Business Machines Corporation
• Inventors: Bonilla, Milton A., Jang, Soobaek, Pham, Thanh T., Rekesh, Dmitry, Rodriguez, Peter P., Sittler, Kathleen H., Snitzer, Brian J.
• Primary Examiner(s): Chan, Wing F
• Assistant Examiner(s): WOO, ANDREW M
• Application Number:
  US13/596,569
• Publication Number:
  US 20140068075A1
• Time in Patent Office: 1,253 Days
• Field of Search: 709/223, 709/226
• US Class Current: 1/1
• CPC Class Codes: G06F 2209/501 Performance criteria
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: H04L 41/0823 characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability for optimising operational conditions of wireless networks H04W24/02
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/5019 Ensuring fulfilment of SLA

Abstract

An approach is provided for optimizing service factors for computing resources in a networked computing environment. Specifically, under one approach, a cloud broker/aggregator, a cloud offering optimizer, and a user workload optimizer may be provided. The cloud aggregator may aggregate information/data pertaining to a set of service factors associated with a set of resources distributed among a set of deployment groups (e.g., cloud pods). The cloud offering optimizer may analyze this information and may determine a reallocation plan to optimize values of the service factors associated with the set of resources. The user workload optimizer may then receive the reallocation plan from the cloud offering optimizer and/or application event information, and modify the deployment topology accordingly.

Claims

1. A computer-implemented method for optimizing service factors for computing resources in a networked computing environment, comprising:

receiving information in a computer memory medium pertaining to a set of resource events having a potential to affect a set of service factors for a set of computing resources distributed among a set of deployment groups of the networked computing environment, each deployment group in the set of deployment groups having a plurality of jointly managed hardware elements and having a set of values reflecting a required quality of service and a required price point that is specific to the deployment group that must be met by every computing resource in the deployment group;

revising the set of values for the set of service factors based on the information and a deployment topology of the set of computing resources among the set of deployment groups;

searching the deployment group for any computing resources in the deployment group that do not meet the revised set of values for the set of service factors;

determining a reallocation plan for the set of computing resources to optimize the set of values by moving at least one resource whose requirements are no longer met by a current deployment group to a new deployment group; and

optimizing the deployment topology based on the reallocation plan and a set of application events corresponding to a set of applications utilized to process a set of workloads received by the networked computing environment.

2. The computer-implemented method of claim 1, the networked computing environment comprising a cloud computing environment, the set of computing resources comprising a set of cloud computing resources, and the set of deployment groups comprising a set of cloud pods.

3. The computer-implemented method of claim 1, the information being based on at least one of the following:

a set of historical data stored in a computer storage device, or the set of workloads.

4. The computer-implemented method of claim 1, the set of service factors comprising at least one of the following:

a price, or a quality of service (QoS) associated with utilization of the set of computing resources.

5. The computer-implemented method of claim 1, the set of values being optimized for particular locations of the networked computing environment.

6. The computer-implemented method of claim 1, the reallocation plan comprising a reallocation of at least one computing resource of the set of computing resources within a particular deployment group of the set of deployment groups.

7. The computer-implemented method of claim 1, the reallocation plan comprising a reallocation of at least one computing resource of the set of computing resources from a first deployment group to a second deployment group.

8. A system for optimizing service factors for computing resources in a networked computing environment, comprising:

a memory medium comprising instructions;

a bus coupled to the memory medium; and

a processor coupled to the bus that when executing the instructions causes the system to;

receive information in a computer memory medium pertaining to a set of resource events having a potential to affect a set of service factors for a set of computing resources distributed among a set of deployment groups of the networked computing environment, each deployment group in the set of deployment groups having a plurality of jointly managed hardware elements and having a set of values reflecting a required quality of service and a required price point that is specific to the deployment group that must be met by every computing resource in the deployment group;

revise the set of values for the set of service factors based on the information and a deployment topology of the set of computing resources among the set of deployment groups;

search the deployment group for any computing resources in the deployment group that do not meet the revised set of values for the set of service factors;

determine a reallocation plan for the set of computing resources to optimize the set of values by moving at least one resource whose requirements are no longer met by a current deployment group to a new deployment group; and

optimize the deployment topology based on the reallocation plan and a set of application events corresponding to a set of applications utilized to process a set of workloads received by the networked computing environment.

9. The system of claim 8, the networked computing environment comprising a cloud computing environment, the set of computing resources comprising a set of cloud computing resources, and the set of deployment groups comprising a set of cloud pods.

10. The system of claim 8, the information being based on at least one of the following:

a set of historical data stored in a computer storage device, or the set of workloads.

11. The system of claim 8, the set of service factors comprising at least one of the following:

a price, or a quality of service (QoS) associated with utilization of the set of computing resources.

12. The system of claim 8, the set of values being optimized for particular locations of the networked computing environment.

13. The system of claim 8, the reallocation plan comprising a reallocation of at least one computing resource of the set of computing resources within a particular deployment group of the set of deployment groups.

14. The system of claim 8, the reallocation plan comprising a reallocation of at least one computing resource of the set of computing resources from a first deployment group to a second deployment group.

15. A computer program product for optimizing service factors for computing resources in a networked computing environment, the computer program product comprising a computer readable storage device, and program instructions stored on the computer readable storage device, to:

receive information in a computer memory medium pertaining to a set of resource events having a potential to affect a set of service factors for a set of computing resources distributed among a set of deployment groups of the networked computing environment, each deployment group in the set of deployment groups having a plurality of jointly managed hardware elements and having a set of values reflecting a required quality of service and a required price point that is specific to the deployment group that must be met by every computing resource in the deployment group;

revise the set of values for the set of service factors based on the information and a deployment topology of the set of computing resources among the set of deployment groups;

search the deployment group for any computing resources in the deployment group that do not meet the revised set of values for the set of service factors;

determine a reallocation plan for the set of computing resources to optimize the set of values by moving at least one resource whose requirements are no longer met by a current deployment group to a new deployment group; and

optimize the deployment topology based on the reallocation plan and a set of application events corresponding to a set of applications utilized to process a set of workloads received by the networked computing environment.

16. The computer program product of claim 15, the networked computing environment comprising a cloud computing environment, the set of computing resources comprising a set of cloud computing resources, and the set of deployment groups comprising a set of cloud pods.

17. The computer program product of claim 15, the information being based on at least one of the following:

a set of historical data stored in a computer storage device, or the set of workloads.

18. The computer program product of claim 15, the set of service factors comprising at least one of the following:

a price, or a quality of service (QoS) associated with utilization of the set of computing resources.

19. The computer program product of claim 15, the set of values being optimized for particular locations of the networked computing environment.

20. The computer program product of claim 15, the reallocation plan comprising a reallocation of at least one computing resource of the set of computing resources within a particular deployment group of the set of deployment groups.

21. The computer program product of claim 15, the reallocation plan comprising a reallocation of at least one computing resource of the set of computing resources from a first deployment group to a second deployment group.

22. A method for deploying a system for optimizing service factors for computing resources in a networked computing environment, comprising:

providing a computer infrastructure being operable to;

receive information in a computer memory medium pertaining to a set of resource events having a potential to affect a set of service factors for a set of computing resources distributed among a set of deployment groups of the networked computing environment, each deployment group in the set of deployment groups having a plurality of jointly managed hardware elements and having a set of values reflecting a required quality of service and a required price point that is specific to the deployment group that must be met by every computing resource in the deployment group;

revise the set of values for the set of service factors based on the information and a deployment topology of the set of computing resources among the set of deployment groups;

search the deployment group for any computing resources in the deployment group that do not meet the revised set of values for the set of service factors;

determine a reallocation plan for the set of computing resources to optimize the set of values by moving at least one resource whose requirements are no longer met by a current deployment group to a new deployment group; and

optimize the deployment topology based on the reallocation plan and a set of application events corresponding to a set of applications utilized to process a set of workloads received by the networked computing environment.