Data service response plan generator

• US 8,661,018 B2
• Filed: 08/10/2010
• Issued: 02/25/2014
• Est. Priority Date: 08/10/2010
• Status: Active Grant

• Current Assignee: Leidos Innovations Technology, Inc.
• Original Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Inventors: Riepshoff, Robert D.
• Primary Examiner(s): Wu, Yicun
• Application Number:
  US12/853,666
• Publication Number:
  US 20120041942A1
• Time in Patent Office: 1,295 Days
• Field of Search: 707/713, 707/718
• US Class Current: 707/713
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

A method, a service optimization system, and a set of instructions are disclosed. A user interface 150 may receive a data request 230 from a user 210. A service plan generation module 410 may generate in real time a preliminary data response plan 300 based upon the data request 230. A service optimization module 412 may create in real time an optimized data response plan 350 by reorganizing the preliminary data response plan 300 into a new order of execution to optimize a response time for the data response 414.

Claims

1. A computerized method to automatically generate a data response regarding coordinated logistical movement of assets, comprising:

receiving, with a processor, a data request from a user to coordinate the movement of at least two assets in a manufacturing or distribution chain;

generating, with the processor, in real time a preliminary data response plan for the coordinated movement of the at least two assets based upon the received data request; and

creating, with the processor, in real time an optimized data response plan by reorganizing the preliminary data response plan into a new order of execution to optimize a response time for an optimized data response regarding the coordinated movement of the at least two assets;

the preliminary data response plan including

a first data service query to a first data service to collect information on movement of a first asset of the at least two assets,

a second data service query to a second data service to collect information on movement of a second asset of the at least two assets, and

a connector describing a relationship between the first asset according to the first data service and the second asset according to the second data service, each of the first data service and the second data service being a data service that monitors and maintains data relating respectively to the first asset and the second asset in at least one of the manufacturing or distribution chain; and

the optimized data response plan maintaining the relationship described by the connector.

2. The method of claim 1, further comprising:

altering, with the processor, the connector to reflect the new order.

3. The method of claim 1, further comprising:

executing, with the processor, the optimized data response plan; and

providing the optimized data response as an output to the user.

4. The method of claim 1, further comprising:

translating, with the processor, the received data request from a natural language data request to a Boolean data request.

5. The method of claim 1, further comprising:

collecting, with the processor, a runtime metric on the optimized data response plan.

6. The method of claim 5, further comprising:

optimizing, with the processor, a reorganization process based on the collected runtime metric.

7. The method of claim 1, further comprising:

disposing of aged optimized data response plans.

8. A service optimization system for coordinating logistical movement of assets, comprising:

a network interface that connects with a first data service and a second data service, each of the first data service and the second data service being a data service that monitors and maintains data relating respectively to a first asset and a second asset among a plurality of assets in a manufacturing or distribution chain; and

a processor that executes;

a service generation module to generate a preliminary data response plan for coordinated movement of at least two assets among the plurality of assets based upon a data request to coordinate the movement of the at least two assets in the manufacturing or distribution chain, the preliminary data response plan including

a first data service query to a first data service to collect information on movement of the first asset,

a second data service query to the second data service to collect information on movement of the second asset, and

a connector describing a relationship between the first asset according to the first data service and the second asset according to the second data service; and

a service optimization module that creates an optimized data response plan by reorganizing into a new order the first data service query and the second data service query while producing an optimized data response that maintains the relationship described by the connector.

9. The service optimization system of claim 8, wherein the processor creates the optimized data response plan in real time.

10. The service optimization system of claim 8, further comprising:

a user interface that receives the data request from a user and provides the optimized data response to the user.

11. The service optimization system of claim 8, wherein the processor executes a service execution module that performs the optimized data response plan.

12. The service optimization system of claim 8, wherein the service optimization module alters the connector to reflect the new order.

13. The service optimization system of claim 8, wherein the processor executes a natural language parser to translate the data request from a natural language data request to a Boolean data request.

14. The service optimization system of claim 8, wherein the processor executes a runtime metrics module that collects a runtime metric on the optimized data response plan.

15. The service optimization system of claim 14, wherein the runtime metrics module provides the runtime metric to the service optimization module.

16. A non-transitory machine-readable medium having a set of instructions detailing a method to automatically generate a data response regarding coordinated logistical movement of assets stored thereon that, when executed by one or more processors, cause the one or more processors to perform the method, comprising:

generating in real time a preliminary data response plan based upon a data request from a user to coordinate the movement of at least two assets in a manufacturing or distribution chain;

the preliminary data response plan having

a first data service query to a first data service to collect information on movement of a first asset of the at least two assets,

a second data service query to a second data service to collect information on movement of a second asset of the at least two assets, and

a connector describing a relationship between the first asset according to the first data service and the second asset according to the second data service, each of the first data service and the second data service being a data service that monitors and maintains data relating respectively to the first asset and the second asset in at least one of the manufacturing or distribution chain; and

creating in real time an optimized data response plan by reorganizing into a new order the first data service query for the first asset and the second data service query for the second asset while maintaining the relationship described by the connector and then altering the connector to reflect the new order.

17. The non-transitory machine-readable medium of claim 16, the method further comprising:

executing the optimized data response plan; and

providing an optimized data response as an output to the user.

18. The non-transitory machine-readable medium of claim 16, the method further comprising:

translating the data request from a natural language data request to a Boolean data request.

19. The non-transitory machine-readable medium of claim 16, the method further comprising:

collecting a runtime metric on the optimized data response plan; and

optimizing a reorganization process based on the runtime metric.