AUTONOMIC DEFINITION AND MANAGEMENT OF DISTRIBUTED APPICATION INFORMATION

• US 20090125619A1
• Filed: 11/14/2007
• Published: 05/14/2009
• Est. Priority Date: 11/14/2007
• Status: Active Grant

• Current Assignee: Daedalus Blue LLC
• Original Assignee: International Business Machines Corporation
• Inventors: ANTANI, SNEHAL S.
• Granted Patent: US 8,108,522 B2
• Time in Patent Office: Days
• US Class Current: 709/223
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A method, information processing system, and computer program storage product for associating jobs with resource subsets in a job scheduler. At least one job class that defines characteristics associated with a type of job is received. A list of resource identifiers for a set of resources associated with the job class is received. A set of resources available on at least one information processing system is received. The resource identifiers are compared with each resource in the set of resources available on the information processing system. A job associated with the job class with is scheduled with a set of resources determined to be usable by the job based on the comparing.

Claims

1. A method, with an information processing system, for autonomic management of service policies for applications migrating from a static computing environment to a dynamic computing environment, the method comprising:

monitoring usage data associated with each application in a plurality of applications deployed within a computing environment;

analyzing the usage data which has been monitored;

generating, in response to the analyzing, service level agreements associated with each application in the plurality of applications; and

configuring the computing environment with the service level agreements for managing resource sharing between each of the applications.

2. The method of claim 1, wherein the monitoring further comprises:

determining a unit of time each application was used within a given interval of time; and

determining response time data associated with each application.

3. The method of claim 1, wherein the generating further comprises:

creating at least one of relative priorities for each application and response time goals for each application.

4. The method of claim 1, further comprising:

generating, based on the service level agreements, configuration scripts for automatically configuring the computing environment.

5. The method of claim 4, wherein the configuring further comprises:

executing the configuration scripts at the computing environment, wherein the configuration scripts, dynamically and automatically without user intervention, configure the computing environment with the service level agreements.

6. The method of claim 1, wherein the generating further comprises:

receiving service level agreement data from a user.

7. The method of claim 1, further comprising:

monitoring the computing environment which has been configured;

generating at least one new configuration script based on a current state of the computing environment; and

dynamically adjusting the configuration of the computing environment via the at least one new configuration script.

8. An information processing system for autonomic management of service policies for applications migrating from a static computing environment to a dynamic computing environment, the information processing system comprising:

a memory;

a processor communicatively coupled to the memory; and

a resource management module communicatively coupled to the memory and processor, wherein the resource management module is adapted to;

monitor usage data associated with each application in a plurality of applications deployed within a computing environment;

analyze the usage data which has been monitored;

generate, in response to the analyzing, service level agreements associated with each application in the plurality of applications; and

configure the computing environment with the service level agreements for managing resource sharing between each of the applications.

9. The information processing system of claim 8, wherein the monitoring further comprises:

determining a unit of time each application was used within a given interval of time; and

determining response time data associated with each application.

10. The information processing system of claim 8, wherein the generating further comprises:

creating at least one of relative priorities for each application and response time goals for each application.

11. The information processing system of claim 8, wherein the resource manager is further adapted to:

generate, based on the service level agreements, configuration scripts for automatically configuring the computing environment.

12. The information processing system of claim 11, wherein the configuring further comprises:

executing the configuration scripts at the computing environment, wherein the configuration scripts, dynamically and automatically without user intervention, configure the computing environment with the service level agreements.

13. The information processing system of claim 8, wherein the generating further comprises:

receiving service level agreement data from a user.

14. The information processing system of claim 8, wherein the resource manager is further adapted to:

monitor the computing environment which has been configured;

generate at least one new configuration script based on a current state of the computing environment; and

dynamically adjust the configuration of the computing environment via the at least one new configuration script.

15. A computer readable storage medium for autonomic management of service policies for applications migrating from a static computing environment to a dynamic computing environment, the computer readable storage medium comprising instructions for:

monitoring usage data associated with each application in a plurality of applications deployed within a computing environment;

analyzing the usage data which has been monitored;

generating, in response to the analyzing, service level agreements associated with each application in the plurality of applications; and

configuring the computing environment with the service level agreements for managing resource sharing between each of the applications.

16. The computer storage readable medium of claim 15, wherein the instructions for monitoring further comprise instructions for:

determining a unit of time each application was used within a given interval of time; and

determining response time data associated with each application.

17. The computer readable storage medium of claim 15, wherein the generating further comprises:

creating at least one of relative priorities for each application and response time goals for each application.

18. The computer readable storage medium of claim 15, further comprising instructions for:

generating, based on the service level agreements, configuration scripts for automatically configuring the computing environment; and

executing the configuration scripts at the computing environment, wherein the configuration scripts, dynamically and automatically without user intervention, configure the computing environment with the service level agreements.

19. The computer readable storage medium of claim 15, wherein the instructions for generating further comprise instructions for:

receiving service level agreement data from a user.

20. The computer readable storage medium of claim 15, further comprising instructions for:

monitoring the computing environment which has been configured;

generating at least one new configuration script based on a current state of the computing environment; and

dynamically adjusting the configuration of the computing environment via the at least one new configuration script.