Middleware for extracting aggregation statistics to enable light-weight management planners

• US 8,745,637 B2
• Filed: 11/20/2009
• Issued: 06/03/2014
• Est. Priority Date: 11/20/2009
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Singh, Aameek, Uttamchandani, Sandeep Madhav, Wang, Yin
• Primary Examiner(s): CAO, DIEM K
• Application Number:
  US12/622,737
• Publication Number:
  US 20110126219A1
• Time in Patent Office: 1,656 Days
• Field of Search: 707/10, 709/223
• US Class Current: 719/318
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]

Abstract

Management of a planner through use of a middleware layer. A computer system is configured with the middleware layer in communication with both a planner and a data repository. One or more modules are provided in the middleware layer to support the functionality of the planner. Application program interface calls are employed to call the modules, thereby mitigating duplication of the functionality in separate planners.

Claims

1. A method for configuration of at least one planner, comprising:

configuring a computer system with the at least one planner in communication with a data repository through a middleware layer;

extracting planning functionality, including information management functionality, from the at least one planner and placing it in the middleware layer, including providing a plurality of information aggregation modules within the middleware for sharing with each planner, the information aggregation modules extracting information management functionality comprising;

defining and extracting information constructs from raw data stored in the data repository, the raw data including historical and performance data utilized by the at least one planner; and

encapsulating the extracted raw data into high level information constructs; and

the planner employing at least one of the information aggregation modules of the middleware through an application program interface call, wherein the extracted planning functionality including regression analysis, impact analysis, and workload analysis, to support the extracted information management functionality of the planner is performed in the middleware, including the extracted planning function of transforming the historical and performance data with the extracted information management functionality.

2. The method of claim 1, further comprising channeling communication between the information aggregation modules and the planner.

3. The method of claim 2, further comprising channeling communication between the data repository and the information aggregation modules.

4. The method of claim 3, further comprising shielding the information aggregation modules and the interface layer from direct interaction with the data repository.

5. The method of claim 1, further comprising separating functionality of information extraction from information optimization logic within a planner.

6. The method of claim 1, further comprising configuring the middleware for communicating with heterogeneous data repositories.

7. A computer system to configure at least one planner, comprising:

a processor in communication with memory and a data repository;

the at least one planner in communication with the data repository through a middleware layer;

an information module to extract planning functionality, including information management functionality from the at least one planner and to place the extracted information management functionality in the middleware layer;

the middleware layer having a plurality of modules to share with each planner, the modules comprising;

an information module to define and extract information constructs from raw data stored in the data repository, the raw data including historical and performance data utilized by the at least one planner; and

an information management service module to encapsulate the extracted raw data into high level information constructs; and

the at least one planner to employ at least one of the modules of the middleware through an application program interface call, wherein the extracted planning functionality including regression analysis, impact analysis, and workload analysis, to support the extracted information management functionality of the at least one planner is performed in the middleware, including the extracted planning function of transforming the historical and performance data with the extracted information management functionality.

8. The system of claim 7, further comprising the middleware configured with an interface layer to channel communication between at least one of the modules and the planner.

9. The system of claim 8, further comprising the middleware configured with a data access layer to channel communication between the data repository and at least one of the modules.

10. The system of claim 9, further comprising the data access layer to shield at least one module and the interface layer from direct interaction with the data repository.

11. The system of claim 7, wherein the modules separate functionality of information extraction from information optimization logic within a planner calling both modules.

12. The system of claim 7, further comprising the middleware configured to communicate with heterogeneous data repositories.

13. A computer program product for configuration of at least one planner, the computer program product comprising:

a computer readable medium including a first program instruction to extract planning functionality, including information management functionality, from the at least one planner and to place the functionality in the middleware layer, including providing a plurality of information aggregation modules within the middleware to share with each planner;

a second program instruction in communication with the first program instruction, the second program instruction to define and extract information constructs from raw data and to encapsulate the extracted raw data into high level information constructs, the raw data including historical and performance data utilized by the at least one planner; and

the at least one planner to employ at least one of the information aggregation modules of through an application program interface call, wherein the extracted planning functionality including regression analysis, impact analysis, and workload analysis, to support the extracted information management functionality of the at least one planner is performed in the middleware, including the extracted planning function of transforming the historical and performance data with the extracted information management functionality.

14. The article of claim 13, further comprising an interface layer in the middleware to channel communication between the information aggregation modules and the planner.

15. The article of claim 14, further comprising a data access layer in the middleware to channel communication between the data repository and the instruction to define and extract information constructs from raw data.

16. The article of claim 14, further comprising a third program instruction to shield the information aggregation modules and the interface layer from direct interaction with the data repository.

17. The article of claim 13, further comprising the information module and the third instruction to separate functionality of information extraction from information optimization logic within a planner calling both the information module and the information extraction instruction.

18. The article of claim 13, further comprising a fourth program instruction to communicate with heterogeneous data repositories.

19. A method for invoking at least two planners through middleware, comprising:

configuring a computer system with the at least two planners in communication with a data repository through a middleware layer;

extracting planning functionality, including information management functionality, from the at least two planners;

placing the extracted functionality in the middleware layer;

defining and extracting information constructs from raw data, the raw data including historical and performance data utilized by the at least two planners, and encapsulating the extracted raw data into high level information constructs; and

supporting the extracted information management functionality of the at least one two planners, including performing the extracted planning functionality including regression analysis, impact analysis, and workload analysis, in the middleware layer, including the extracted planning function of transforming the extracted historical and performance data with the extracted management functionality.

20. The method of claim 19, further comprising embedding a information module in the middleware layer and sharing the embedded module with each planner.