Automatically generating configuration images and deploying computer components in a computing environment that comprises a shared pool of configurable computing resources

• US 9,426,030 B1
• Filed: 12/11/2015
• Issued: 08/23/2016
• Est. Priority Date: 12/11/2015
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Anerousis, Nikolaos, Hwang, Jinho, Peterson, Brian L., Rofrano, John J.
• Primary Examiner(s): Luu, Le H
• Application Number:
  US14/966,864
• Time in Patent Office: 256 Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/08 Configuration management of networks or network elements address allocation H04L61/50
• CPC Class Codes: H04L 41/0803 Configuration setting
• CPC Class Codes: H04L 41/0806 for initial configuration or provisioning, e.g. plug-and-play
• CPC Class Codes: H04L 41/084 Configuration by using pre-existing information, e.g. using templates or copying from other elements
• CPC Class Codes: H04L 41/0843 based on generic templates
• CPC Class Codes: H04L 41/0859 by keeping history of different configuration generations or by rolling back to previous configuration versions
• CPC Class Codes: H04L 41/0876 Aspects of the degree of configuration automation
• CPC Class Codes: H04L 41/0883 Semiautomatic configuration, e.g. proposals from system
• CPC Class Codes: H04L 41/0886 Fully automatic configuration
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Generating configuration images and deploying computer components in a computing environment that comprises a shared pool of configurable computing resources may be provided. Configuration templates from a plurality of repositories may be mined and classified. Base templates may be created that represent different service configurations based on the configuration templates classified into classes of different service configurations. For deploying a requested service with specified requirements, a plurality of candidate templates may be created based on the base templates that represent configurations for the requested service and configurations that meet the specified requirements. A target template from the plurality of candidate templates may be selected that most meets the specified requirements. Computer resources for the requested service may be deployed by running the target template.

Claims

1. A method of generating configuration images and deploying computer components in a computing environment that comprises a shared pool of configurable computing resources, comprising:

automatically mining by one or more hardware processors repositories for configuration templates, the configuration templates comprising executable commands that configure computer hardware and software resources on the computing environment;

classifying by one or more of the hardware processors the configuration templates into classes of different service configurations;

creating base templates representing the different service configurations based on the configuration templates classified into classes of different service configurations;

receiving a deployment request with specified requirements for deploying computer resources for a requested service on the shared pool of configurable computing resources;

searching the configuration templates for configurations that meet the specified requirements for the requested service;

creating a plurality of candidate templates based on the base templates that represent configurations for the requested service and the configurations that meet the specified requirements;

selecting a target template from the plurality of candidate templates that most meets the specified requirements; and

deploying the computer resources for the requested service by executing the target template.

2. The method of claim 1, further comprising configuring one or more network elements responsive to the deploying.

3. The method of claim 1, wherein the target template is selected based on determining risk impacts associated with the plurality of candidate templates.

4. The method of claim 1, wherein the different service configurations comprises configurations for a web server, database server, application server, virtual machine, a computing infrastructure, a computing platform, a middleware.

5. The method of claim 1, wherein a support vector machine is implemented for the classifying.

6. The method of claim 1, wherein the candidate templates augment the base templates with additional configurations that address the specified requirements.

7. The method of claim 1, further comprising storing the base templates in a storage device.

8. The method of claim 1, wherein the mining, the classifying and creating the base templates are performed iteratively to generate updated set of base templates.

9. A system of generating configuration images and deploying computer components in a computing environment that comprises a shared pool of configurable computing resources, comprising:

one or more hardware processors operable to automatically mine repositories for configuration templates, the configuration templates comprising executable commands that configure computer hardware and software resources on the computing environment,

one or more of the hardware processors further operable to classify the configuration templates into classes of different service configurations,

one or more of the hardware processors further operable to create base templates representing the different service configurations based on the configuration templates classified into classes of different service configurations;

a storage device operable to store the base templates,

one or more of the hardware processors further operable to receive a deployment request with specified requirements for deploying computer resources for a requested service on the shared pool of configurable computing resources,

one or more of the hardware processors further operable to search the configuration templates for configurations that meet the specified requirements for the requested service,

one or more of the hardware processors further operable to create a plurality of candidate templates based on the base templates that represent configurations for the requested service and the configurations that meet the specified requirements, the base templates augmented with additional configurations that address the specified requirements,

one or more of the hardware processors further operable to select a target template from the plurality of candidate templates that meets the specified requirements with least risk impact,

one or more of the hardware processors further operable to deploy the computer resources for the requested service by executing the target template.

10. The system of claim 9, wherein one or more of the hardware processors are further operable to configure one or more network elements.

11. The system of claim 9, wherein the different service configurations comprises configurations for a web server, database server, application server, virtual machine, a computing infrastructure, a computing platform, a middleware.

12. The system of claim 9, wherein one or more of the hardware processors implements a support vector machine for classifying the configuration templates.

13. The system of claim 9, wherein the candidate templates augment the base templates with additional configurations that address the specified requirements.

14. The system of claim 9, wherein one or more of the hardware processors iteratively mine, classify and create the base to generate updated set of base templates.

15. A computer readable storage device storing a program of instructions executable by a machine to perform a method of generating configuration images and deploying computer components in a computing environment that comprises a shared pool of configurable computing resources, the method comprising:

automatically mining by one or more hardware processors repositories for configuration templates, the configuration templates comprising executable commands that configure computer hardware and software resources on the computing environment;

classifying by one or more of the hardware processors the configuration templates into classes of different service configurations;

creating base templates representing the different service configurations based on the configuration templates classified into classes of different service configurations;

receiving a deployment request with specified requirements for deploying computer resources for a requested service on the shared pool of configurable computing resources;

searching the configuration templates for configurations that meet the specified requirements for the requested service;

creating a plurality of candidate templates based on the base templates that represent configurations for the requested service and the configurations that meet the specified requirements;

selecting a target template from the plurality of candidate templates that most meets the specified requirements; and

deploying the computer resources for the requested service by executing the target template.

16. The computer readable storage device of claim 15, further comprising configuring one or more network elements responsive to the deploying.

17. The computer readable storage device of claim 15, wherein the target template is selected based on determining risk impacts associated with the plurality of candidate templates.

18. The computer readable storage device of claim 15, wherein the different service configurations comprises configurations for a web server, database server, application server, virtual machine, a computing infrastructure, a computing platform, a middleware.

19. The computer readable storage device of claim 15, wherein a support vector machine is implemented for the classifying.

20. The computer readable storage device of claim 15, wherein the candidate templates augment the base templates with additional configurations that address the specified requirements.