Computer-implemented method, system, and program product for deployment time optimization of a distributed application

• US 20070198973A1
• Filed: 02/02/2006
• Published: 08/23/2007
• Est. Priority Date: 02/02/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Gupta, Manish, Verma, Dinesh, Lee, Kang-Won, Wu, Peng, Choi, Jong-Deok, Kermani, Parviz, Ryu, Kyung
• Application Number:
  US11/345,748
• Publication Number:
  US 20070198973A1
• Time in Patent Office: Days
• US Class Current: 717/151
• CPC Class Codes: G06F 8/61 Installation

Abstract

A computer-implemented method, system, and program product for optimizing a distributed (software) application are provided. Specifically, a configuration of a target computing environment, in which the distributed application is deployed, is discovered upon deployment of the distributed application. Thereafter, based on a set of rules and the discovered configuration, one or more optimization techniques are applied to optimize the distributed application. In a typical embodiment, the set of rules can be embedded in the distributed application, or they can be accessed from an external source such as a repository. Regardless, the optimization techniques applied can include at least one of the following: (1) identification and replacement of an underperforming component of the distributed application with a new component; (2) generation of interface layers (to allow selection of optimal bindings) between distributed objects of the distributed application; and/or (3) execution of code transformation of the distributed application using program analysis techniques.

Claims

1. A computer-implemented method for optimizing a distributed application, comprising:

discovering a configuration of a target computing environment upon deployment of the distributed application;

providing a set of rules; and

applying at least one optimization technique based on the set of rules to optimize the distributed application.

2. The computer-implemented method of claim 1, the providing comprising embedding the set of rules in the distributed application.

3. The computer-implemented method of claim 1, the providing comprising retrieving the set of rules from a repository.

4. The computer-implemented method of claim 1, the discovering comprising discovering a location of a service invoked by the distributed application.

5. The computer-implemented method of claim 1, the discovering comprising discovering a version of other software used by the distributed application.

6. The computer-implemented method of claim 1, the applying comprising:

identifying a new component to replace an underperforming component of the distributed application based on the set of rules; and

replacing the underperforming component of the distributed application with the new component.

7. The computer-implemented method of claim 1, the applying comprising generating a plurality of bindings between distributed objects of the distributed application based on the set of rules.

8. The computer-implemented method of claim 1, the applying comprising performing a code-level transformation of the distributed application using on the set of rules.

9. The computer-implemented method of claim 1, the applying comprising selecting most appropriate bindings between distributed components.

10. The computer-implemented method of claim 1, the applying comprising removing at least one network protocol stacks and processing layers.

11. The computer-implemented method of claim 1, each of the at least one optimization techniques may implement different features than others of the at least one optimization technique.

12. A system for optimizing a distributed application, comprising:

a configuration system for discovering a configuration of a target computing environment upon deployment of the distributed application; and

an technique application system for applying at least one optimization technique based on a set of rules to optimize the distributed application, the at least one optimization technique being selected from the group consisting of replacing an underperforming component of the distributed application, generating multiple bindings between distributed objects of the distributed application, and performing a code-level transformation of the distributed application.

13. The system of claim 12, the set of rules being embedded in the distributed application.

14. The system of claim 12, the set of rules being stored in a repository.

15. The system of claim 12, the configuration system discovering a location of a service invoked by the distributed application.

16. The system of claim 12, the configuration system discovering a version of other software used by the distributed application.

17. A program product stored on a computer-useable medium for optimizing a distributed application, the computer useable medium comprising program code for causing a computer system to perform the following steps:

discovering a configuration of a target computing environment upon deployment of the distributed application; and

applying at least one optimization technique based on a set of rules to optimize the distributed application, the at least one optimization technique being selected from the group consisting of replacing an underperforming component of the distributed application, generating multiple bindings between distributed objects of the distributed application, and performing a code-level transformation of the distributed application.

18. The program product of claim 17, the discovering comprising discovering a location of a service invoked by the distributed application.

19. The program product of claim 17, the discovering comprising discovering a version of other software used by the distributed application.

20. A method for deploying an application for optimizing a distributed application, comprising:

providing a computer infrastructure being operable to;

discovering a configuration of a target computing environment upon deployment of the distributed application; and

applying at least one optimization technique based on a set of rules to optimize the distributed application, the at least one optimization technique being selected from the group consisting of replacing an underperforming component of the distributed application, generating multiple bindings between distributed objects of the distributed application, and performing a code-level transformation of the distributed application.