SYSTEMS AND METHODS FOR CONTROLLING BUSINESS PROCESSES THROUGH INFORMATION TECHNOLOGY OPERATIONAL CONTROLS

• US 20180018599A1
• Filed: 12/27/2016
• Published: 01/18/2018
• Est. Priority Date: 07/18/2016
• Status: Active Grant

• Current Assignee: Aetna Incorporated (CVS Health Corporation)
• Original Assignee: Aetna Incorporated (CVS Health Corporation)
• Inventors: JENSEN, Claus T., SAMUEL, Robert, CORMIER, Gerald, FITZGERALD, David
• Granted Patent: US 10,489,725 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A system and method for controlling business processes through information technology operational controls are disclosed. The method includes: receiving a business process; monitoring a load at each of multiple layers of the system; sending, to an end-to-end throttle controller, for each layer of the multiple layers, layer load data corresponding to the load at the layer, wherein each layer load data contains data related to a single layer; determining whether any adjustments should be made to throttling policies corresponding to the multiple layers based on the multiple layer load data; sending any adjustments that should be made to throttle agents of one or more layers; updating the throttling policies of one or more layers based on the adjustments; and, continuing executing the business process based on the updated throttling policies.

Claims

1. A method for controlling business processes through information technology operational controls, the method performed by one or more servers in a system, the one or more servers including one or more processors, the method comprising:

receiving a business process input into the system;

monitoring a load at each of multiple layers of the system;

sending, to an end-to-end throttle controller, for each layer of the multiple layers, layer load data corresponding to the load at the layer, wherein each layer load data contains data related to a single layer of the multiple layers of the system;

determining whether any adjustments should be made to one or more throttling policies corresponding to the multiple layers of the system based on the multiple layer load data;

sending any adjustments that should be made to throttle agents of one or more layers of the system;

updating the throttling policies of one or more layers of the system based on the adjustments; and

continuing executing the business process based on the updated throttling policies of the one or more layers of the system.

2. The method according to claim 1, wherein the multiple layers of the system comprise one or more selected from the group consisting of:

a network layer, a systems layer, an applications layer, a processes layer, and an object layer.

3. The method according to claim 1, wherein the updating the throttling policies of one or more layers comprises performing one or more tasks selected from the group consisting of:

creating additional virtual machines, file splitting, holding a file, performing application programming interface (API) traffic management, and performing service traffic management.

4. The method according to claim 1, wherein the layer load data for a first layer comprises a change in throttling policy of the first layer.

5. The method according to claim 1, further comprising:

activating necessary layers from the multiple layers of the system, wherein the monitoring the load involves monitoring the load at the necessary layers.

6. The method according to claim 1, wherein the load comprises one or more selected from the group consisting of:

application requests, application programming interface (API) traffic, and database traffic.

7. The method according to claim 1, further comprising:

determining whether any adjustments should be made to one or more throttling policies based on executing predictive analytics.

8. A non-transitory computer-readable medium storing program instructions that, when executed by one or more processors, cause one or more servers in a system to control business processes through information technology operational controls, by performing the steps of:

receiving a business process input into the system;

monitoring a load at each of multiple layers of the system;

sending, to an end-to-end throttle controller, for each layer of the multiple layers, layer load data corresponding to the load at the layer, wherein each layer load data contains data related to a single layer of the multiple layers of the system;

determining whether any adjustments should be made to one or more throttling policies corresponding to the multiple layers of the system based on the multiple layer load data;

sending any adjustments that should be made to throttle agents of one or more layers of the system;

updating the throttling policies of one or more layers of the system based on the adjustments; and

continuing executing the business process based on the updated throttling policies of the one or more layers of the system.

9. The computer-readable medium according to claim 8, wherein the multiple layers of the system comprise one or more selected from the group consisting of:

a network layer, a systems layer, an applications layer, a processes layer, and an object layer.

10. The computer-readable medium according to claim 8, wherein the updating the throttling policies of one or more layers comprises performing one or more tasks selected from the group consisting of:

creating additional virtual machines, file splitting, holding a file, performing application programming interface (API) traffic management, and performing service traffic management.

11. The computer-readable medium according to claim 8, wherein the layer load data for a first layer comprises a change in throttling policy of the first layer.

12. The computer-readable medium according to claim 8, further comprising:

activating necessary layers from the multiple layers of the system, wherein the monitoring the load involves monitoring the load at the necessary layers.

13. The computer-readable medium according to claim 8, wherein the load comprises one or more selected from the group consisting of:

application requests, application programming interface (API) traffic, and database traffic.

14. The computer-readable medium according to claim 8, further comprising:

determining whether any adjustments should be made to one or more throttling policies based on executing predictive analytics.

15. A computing device for controlling business processes through information technology operational controls in a system, the computing device comprising:

a memory storing executable instructions; and

one or more processors configured to execute the instructions to;

receive, from each layer of multiple layers of the system, layer load data corresponding to the load at the layer associated with a business process input into the system, wherein each layer load data contains data related to a single layer of the multiple layers of the system;

determine whether any adjustments should be made to one or more throttling policies corresponding to the multiple layers of the system based on the multiple layer load data;

send any adjustments that should be made to throttle agents of one or more layers of the system, wherein the one or more layers of the system are configured to update one or more corresponding throttling policies based on the adjustments to continue executing the business process.

16. The computing device according to claim 15, wherein the multiple layers of the system comprise one or more selected from the group consisting of:

a network layer, a systems layer, an applications layer, a processes layer, and an object layer.

17. The computing device according to claim 15, wherein the updating the throttling policies of one or more layers comprises performing one or more tasks selected from the group consisting of:

creating additional virtual machines, file splitting, holding a file, performing application programming interface (API) traffic management, and performing service traffic management.

18. The computing device according to claim 15, wherein the layer load data for a first layer comprises a change in throttling policy of the first layer.

19. The computing device according to claim 15, wherein the load comprises one or more selected from the group consisting of:

application requests, application programming interface (API) traffic, and database traffic.

20. The computing device according to claim 15, wherein the one or more processors are further configured to execute the instructions to:

determine whether any adjustments should be made to one or more throttling policies based on executing predictive analytics.