Common component modeling

• US 7,571,082 B2
• Filed: 06/17/2005
• Issued: 08/04/2009
• Est. Priority Date: 06/22/2004
• Status: Expired due to Fees

• Current Assignee: Wells Fargo Bank NA (Wells Fargo & Company)
• Original Assignee: Wells Fargo Bank NA (Wells Fargo & Company)
• Inventors: Griffo, Paul J., Gilpin, Brian M.
• Primary Examiner(s): Rodriguez; Paul L.
• Assistant Examiner(s): Thangavelu; Kandasamy
• Application Number:
  US11/156,129
• Publication Number:
  US 20060031048A1
• Time in Patent Office: 1,509 Days
• Field of Search: 703/2, 703/6, 703/9, 703/14, 703/22, 707/1, 709/223, 709/205, 705/1, 705/7, 705/26, 717/135, 717/120, 719/321
• US Class Current: 703/6
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A method and apparatus for producing predictive performance and capacity information employing a type of factory to reduce the ongoing cost of providing simulation models to answer questions raised by the various business entities is provided. To achieve this, a continual process for providing on-going performance information is provided. The core concept is the development and long-term reuse of component models to create other, more broadly scoped performance models. This requires the implementation of standard simulation model constructs to facilitate reuse, processes for the development of models and their use by clients, and a stable yet flexible repository for component models. The invention comprises processes, standards, templates, and software tools that implement a performance service that consists of the long term maintenance of predictive performance models for repeated use by lines of business to provide capacity planning information.

Claims

1. An apparatus for generating a composite model from a plurality of component models, the apparatus including a computing device with a processor and instructions that, when executed by the processor, cause the computing device to implement:

a repository containing said plurality of component models, each component model in the plurality of component models being a software-based discrete event simulation that is designed to dynamically represent performance characteristics and capacity constraints of a different core business function in a plurality of core business functions, each core business function in the plurality of core business functions being an information technology function employed in a business, each component model in the plurality of component models including at least;

a port object that designates an interface at which said component model is able to interact with another component model in the plurality of component models;

a port specification object that defines specific capabilities and constraints associated with the port object; and

a legacy marker object that provides a persistent identifier of said component model;

a composite model builder that, when executed by the processor;

receives a composite model specification as input, the composite model specification specifying the legacy marker objects of selected component models in the plurality of component models;

uses port specification objects of the selected component models to validate channels between port objects of the selected component models;

generates the channels when the channels are successfully validated, the channels providing pathways for exchange of message blocks between the port objects of the selected component models; and

outputs said composite model, said composite model comprising the selected component models and the channels, said composite model dynamically representing performance characteristics and capacity constraints of a high-level business function of the business, said high-level business function using each of the core business functions represented by the selected component models, said high-level business function fulfilling a specific end-user need; and

a simulation tool that, when executed by the processor, generates data representing performance characteristics of the high-level business function by executing the composite model.

2. The apparatus of claim 1, the instructions further causing the computing device to implement a workload object that represents a processing burden on the high-level business function.

3. The apparatus of claim 1, wherein a flag of said port object designates use of said port object.

4. The apparatus of claim 1, wherein said port specification object comprises data that:

uniquely identifies said port object;

identifies a category or type of said port object;

identifies types of port objects contained in other component models with which data is exchanged;

identifies categories of data being exchanged with said port object;

specifies limits as to an amount of data that is exchanged with said port object; and

specifies limits as to a number of port objects with which said port object exchanges data.

5. The apparatus of claim 1, wherein said port specification object is accessed and evaluated by the composite model builder in an automated process.

6. The apparatus of claim 1, wherein said instructions further cause the computing device to:

identify and resolve naming conflicts between ones of the selected component models.

7. The apparatus of claim 1, wherein said instructions cause said computing device to:

store said composite model as a specification file.

8. The apparatus of claim 1, wherein said instructions further cause said computing device to:

receive a changed version of one of the selected component models; and

propagate the changed version of the one of the selected component models into the composite model.

9. A computer implemented method for generating a composite model from a plurality of component models, the method comprising:

storing, on a first physical computing device, a repository containing said plurality of component models, each component model in the plurality of component models being a software-based discrete event simulation that is designed to dynamically represent performance characteristics and capacity constraints of a different core business function in a plurality of core business functions, each core business function in the plurality of core business functions being an information technology function employed in a business, each component model in the plurality of component models including at least;

a port object that designates an interface at which said component model is able to interact with another component model in said plurality of component models; and

a port specification object that defines specific capabilities and constraints of said port object;

receiving, at the first physical computing device, a composite model specification as input, the composite model specification specifying selected component models in the plurality of component models;

using, at the first physical computing device, the port specification objects of the selected component models to validate channels between port objects of the selected component models;

generating, at the first physical computing device, the channels when the channels are successfully validated, the channels providing pathways for exchange of message blocks between the port objects of the selected component models;

outputting, at the first physical computing device, said composite model, said composite model comprising the selected component models and the channels, said composite model dynamically representing performance characteristics and capacity constraints of a high-level business function of the business, said high-level business function using each of the core business functions represented by the selected component models, said high-level business function fulfilling a specific end-user need; and

generating, at the first physical computing device, data representing performance characteristics of the high-level business function by executing the composite model.

10. The computer implemented method of claim 9, further comprising:

prior to outputting said composite model;

identifying, at the first physical computing device, naming conflicts between ones of the selected component models; and

resolving, at the first physical computing device, the naming conflicts.

11. The computer implemented method of claim 9, wherein said composite model is driven by one or more workload objects representing processing burden on the high-level business function.

12. The computer implemented method of claim 9, further comprising:

storing, by said first physical computing device, said composite model as a specification file.

13. The computer implemented method of claim 9, further comprising:

receiving, at the first physical computing device, a changed version of one of the selected component models; and

propagating, at the first physical computing device, the changed version of the one of the selected component models into the composite model.

14. The computer implemented method of claim 9, further comprising providing a flag of said port object to designate use of said port object.

15. The computer implemented method of claim 9, wherein said port specification object comprises data that:

uniquely identifies said port object;

identifies a category or type of said port object;

identifies types of port objects contained in other component models with which data is exchanged;

identifies categories of data being exchanged with said port object;

specifies limits as to an amount of data that is exchanged with said port object; and

specifies limits as to a number of port objects with which said port object exchanges data.