Performance tuning for software as a performance level service

• US 8,621,052 B2
• Filed: 08/20/2010
• Issued: 12/31/2013
• Est. Priority Date: 08/20/2010
• Status: Expired due to Fees

• Current Assignee: DoorDash, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Keohane, Susann M., McBrearty, Gerald F., Mullen, Shawn P., Murillo, Jessica C., Shieh, Johnny M.
• Primary Examiner(s): Hussain, Imad
• Application Number:
  US12/859,891
• Publication Number:
  US 20120047240A1
• Time in Patent Office: 1,229 Days
• Field of Search: 709/221
• US Class Current: 709/221
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

A mechanism is provided for performance tuning for software as a performance level service. At the request of a customer, a cloud provider may use a performance tuning component to determine performance parameters to increase performance of an application running on a given hardware platform. The cloud provider may then generate a tuning configuration and associate the tuning configuration with the customer such that when the cloud provider deploys a customer'"'"'s software to a partition in a host system, the cloud provider sends the tuning configuration with the deployment package. The performance tuning component at the host system then applies the performance parameters in the tuning configuration to increase performance.

Claims

1. A method, in a first host data processing system, for performance tuning of a performance level service, the method comprising:

receiving, by the first host data processing system, a deployment package for a customer environment and a service level agreement;

deploying, by the first host data processing system, the customer environment, wherein the customer environment comprises an operating system, an application, a service level agreement monitor, and a first performance tuning component executing on hardware resources allocated to the customer environment by a virtualization component of the first host data processing system;

performing, by the first performance tuning component, performance tuning on the customer environment to generate a first set of performance parameters;

applying, by the first performance tuning component, the first set of performance parameters to the operating system or hardware resources of the first host data processing system to boost performance of the customer environment on the first host data processing system;

responsive to a second host system achieving better performance than the first host data processing system, receiving, by the first performance tuning component, a second set performance parameters from a second performance tuning component executing on the second host system;

identifying by the first performance tuning component, a subset of performance parameters in the second set of performance parameters that is different from the first set of performance parameters; and

storing the subset of performance parameters in the first set of performance parameters as a peak performance tuning configuration.

2. The method of claim 1, wherein a cloud provider data processing system stores the first set of performance parameters in association with the customer configuration and the service level agreement.

3. The method of claim 1, wherein responsive to the customer environment transitioning into an idle state at the first host data processing system, the first host data processing system captures state information, stores the state information in association with the first set of performance parameters, and puts the customer environment to rest.

4. The method of claim 3, wherein responsive to the customer environment waking, the first host data processing system restores the customer environment and applies the first set of performance parameters to the operating system or hardware resources of the first host data processing system to boost performance of the customer environment on the first host data processing system.

5. The method of claim 1, further comprising:

migrating the customer environment with the first set of performance parameters from the first host data processing system to a target host system.

6. The method of claim 5, wherein migrating the customer environment comprises:

capturing state information;

storing the state information in association with the first set of performance parameters;

putting the customer environment to rest on the first host data processing system; and

handing off the state information and the first set of performance parameters from the first host data processing system to the target host system.

7. The method of claim 1, wherein the first set of performance parameters comprise a performance parameter to increase packet size.

8. The method of claim 1, wherein the first set of performance parameters comprise performance parameters to match page size and disk block size.

9. The method of claim 1, further comprising storing the first set of performance parameters in a tuning configuration file.

10. The method of claim 9, wherein the tuning configuration file comprises an extensible markup language file.

11. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:

receive, by a first host system, a deployment package for a customer environment and a service level agreement;

deploy, by the first host system, the customer environment, wherein the customer environment comprises an operating system, an application, a service level agreement monitor, and a first performance tuning component executing on hardware resources allocated to the customer environment by a virtualization component of the first host system;

perform, by the first performance tuning component, performance tuning on the customer environment to generate a first set of performance parameters;

apply, by the first performance tuning component, the first set of performance parameters to the operating system or hardware resources of the first host data processing system to boost performance of the customer environment on the first host system;

responsive to a second host system achieving better performance than the first host data processing system, receive, by the first performance tuning component, a second set performance parameters from a second performance tuning component executing on the second host system;

identify, by the first performance tuning component, a subset of performance parameters in the second set of performance parameters that is different from the first set of performance parameters; and

store the subset of performance parameters in the first set of performance parameters as a peak performance tuning configuration.

12. The computer program product of claim 11, wherein the computer readable program further causes the computing device to:

migrate the customer environment with the first set of performance parameters from the first host system to a target host system.

13. The computer program product of claim 12, wherein migrating the customer environment comprises:

capturing state information;

storing the state information in association with the first set of performance parameters;

putting the customer environment to rest on the first host system; and

handing off the state information and the first set of performance parameters from the first host system to the target host system.

14. The computer program product of claim 11, wherein a cloud provider data processing system stores the first set of performance parameters in association with the customer configuration and the service level agreement.

15. The computer program product of claim 11, wherein the computer readable program is stored in a computer readable storage medium in a data processing system and wherein the computer readable program was downloaded over a network from a remote data processing system.

16. The computer program product of claim 11, wherein the computer readable program is stored in a computer readable storage medium in a server data processing system and wherein the computer readable program is downloaded over a network to a remote data processing system for use in a computer readable storage medium with the remote system.

17. An apparatus, comprising:

a processor; and

a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to;

receive, by a first host system, a deployment package for a customer environment and a service level agreement;

deploy, by the first host system, the customer environment, wherein the customer environment comprises an operating system, an application, a service level agreement monitor, and a first performance tuning component executing on hardware resources allocated to the customer environment by a virtualization component of the first host system;

perform, by the first performance tuning component, performance tuning on the customer environment to generate a first set of performance parameters;

apply, by the first performance tuning component, the first set of performance parameters to the operating system or hardware resources of the first host system to boost performance of the customer environment on the first host system;

responsive to a second host stem achieving better performance than the first host data processing system, receive, by the first performance tuning component, a second set performance parameters from a second performance tuning component executing on the second host system;

identify, by the first performance tuning component, a subset of performance parameters in the second set of performance parameters that is different from the first set of performance parameters; and

store the subset of performance parameters in the first set of performance parameters as a peak performance tuning configuration.

18. The apparatus of claim 17, wherein a cloud provider data processing system stores the first set of performance parameters in association with the customer configuration and the service level agreement.

19. The apparatus of claim 17, wherein the instructions further cause the processor to:

migrate the customer environment with the first set of performance parameters from the first host system to a target host system.

20. The apparatus of claim 19, wherein migrating the customer environment comprises:

capturing state information;

storing the state information in association with the first set of performance parameters;

putting the customer environment to rest on the first host system; and

handing off the state information and the first set of performance parameters from the first host system to the target host system.