Forecast-less service capacity management

• US 8,862,729 B2
• Filed: 10/21/2013
• Issued: 10/14/2014
• Est. Priority Date: 03/10/2011
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ricketts, John A.
• Primary Examiner(s): SALAD, ABDULLAHI ELMI
• Application Number:
  US14/059,087
• Publication Number:
  US 20140046639A1
• Time in Patent Office: 358 Days
• Field of Search: 709/224, 703 22-223, 703/6, 703 22- 2, 717/127, 717/168, 717/174, 717/138
• US Class Current: 709/224
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network

Abstract

A computer implemented method, system, and/or computer program product manages capacity in a service-provider system. A software model of a physical service-provider system is created and stored in memory. A parameter for running the software model with real-time metrics from the physical service-provider system as inputs to the software model is established. If the parameter is met, then the software model is run using the real-time metrics from the physical service-provider system as inputs. A pre-determined action, which adjusts policies for, and capacity in, the service-provider system and is prescribed by a specific model output, is established. If the specific model output, which resulted from using the real-time metrics from the physical service-provider system as inputs for running the software model, is output from the software model, then the pre-determined action is executed.

Claims

1. A computer implemented method of managing capacity in a service-provider system in a forecast-less manner, the computer implemented method comprising:

creating a software model of a physical service-provider system, wherein the software model is a policy-sensitive model that shows how current demand on the physical service-provider system is addressed by changing policies governing, and capacity available to, the physical service-provider system;

a processor storing the software model in memory;

establishing a parameter for running the software model with real-time metrics from the physical service-provider system as inputs to the software model;

in response to the parameter being met, running the software model using the real-time metrics from the physical service-provider system as inputs;

establishing a pre-determined action that is prescribed by a specific model output, wherein the pre-determined action adjusts the policies for, and the capacity in, the service-provider system; and

in response to the specific model output being output from the software model, executing the pre-determined action.

2. The computer implemented method of claim 1, further comprising:

defining the parameter as passage of a predetermined period of time since last running the software model with the real-time metrics from the physical service-provider system.

3. The computer implemented method of claim 1, further comprising:

defining the parameter as a buffer in the physical service-provider system being underutilized below a predefined limit.

4. The computer implemented method of claim 1, further comprising:

defining the parameter as a buffer in the physical service-provider system being overutilized beyond a predefined limit.

5. The computer implemented method of claim 1, further comprising:

defining the parameter as service requests being received by the physical service-provider system falling below a pre-defined limit.

6. The computer implemented method of claim 1, further comprising:

defining the parameter as service requests being received by the physical service-provider system exceeding a pre-defined limit.

7. The computer implemented method of claim 1, further comprising:

defining the parameter as an occurrence of a predefined natural disaster.

8. The computer implemented method of claim 1, further comprising:

defining the pre-determined action as shutting down a server farm.

9. The computer implemented method of claim 1, further comprising:

defining the pre-determined action as bringing additional server resources on line.

10. The computer implemented method of claim 1, further comprising:

defining the pre-determined action as bringing additional on-demand services from a third party source on line.

11. A computer program product for managing capacity in a service-provider system, the computer program product comprising:

a non-transitory computer readable storage media;

first program instructions to create a software model of a physical service-provider system, wherein the software model is a policy-sensitive model that shows how current demand on the physical service-provider system is addressed by changing policies governing, and capacity available to, the physical service-provider system;

second program instructions to store the software model in memory;

third program instructions to establish a parameter for running the software model with real-time metrics from the physical service-provider system as inputs to the software model;

fourth program instructions to, in response to the parameter being met, run the software model using the real-time metrics from the physical service-provider system as inputs;

fifth program instructions to establish a pre-determined action that is prescribed by a specific model output, wherein the pre-determined action adjusts the policies for, and the capacity in, the service-provider system; and

sixth program instructions to, in response to the specific model output being output from the software model, execute the pre-determined action; and

wherein

the first, second, third, fourth, fifth, and sixth program instructions are stored on the non-transitory computer readable storage media.

12. The computer program product of claim 11, further comprising:

seventh program instructions to define the parameter as passage of a predetermined period of time since last running the software model with the real-time metrics from the physical service-provider system; and

wherein

the seventh program instructions are stored on the non-transitory computer readable storage media.

13. The computer program product of claim 11, further comprising:

seventh program instructions to define the parameter as a buffer in the physical service-provider system being underutilized below a predefined limit; and

wherein

the seventh program instructions are stored on the non-transitory computer readable storage media.

14. The computer program product of claim 11, further comprising:

seventh program instructions to define the parameter as a buffer in the physical service-provider system being overutilized beyond a predefined limit; and

wherein

the seventh program instructions are stored on the non-transitory computer readable storage media.

15. The computer program product of claim 11, further comprising:

seventh program instructions to define the parameter as service requests being received by the physical service-provider system falling below a pre-defined limit; and

wherein

the seventh instructions are stored on the non-transitory computer readable storage media.

16. A computer system comprising:

a central processing unit (CPU), a computer readable memory, and a computer readable storage device;

first program instructions to create a software model of a physical service-provider system, wherein the software model is a policy-sensitive model that shows how current demand on the physical service-provider system is addressed by changing policies governing, and capacity available to, the physical service-provider system;

second program instructions to store the software model in memory;

third program instructions to establish a parameter for running the software model with real-time metrics from the physical service-provider system as inputs to the software model;

fourth program instructions to, in response to the parameter being met, run the software model using the real-time metrics from the physical service-provider system as inputs;

fifth program instructions to establish a pre-determined action that is prescribed by a specific model output, wherein the pre-determined action adjusts the policies for, and the capacity in, the service-provider system; and

sixth program instructions to, in response to the specific model output being output from the software model, execute the pre-determined action; and

wherein

the first, second, third, fourth, fifth, and sixth program instructions are stored on the computer readable storage device for execution by the CPU via the computer readable memory.

17. The computer system of claim 16, further comprising:

seventh program instructions to define the parameter as passage of a predetermined period of time since last running the software model with the real-time metrics from the physical service-provider system; and

wherein

the seventh program instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.

18. The computer system of claim 16, further comprising:

seventh program instructions to define the parameter as a buffer in the physical service-provider system being underutilized below a predefined limit; and

wherein

the seventh program instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.

19. The computer system of claim 16, further comprising:

seventh program instructions to define the parameter as a buffer in the physical service-provider system being overutilized beyond a predefined limit; and

wherein

the seventh program instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.

20. The computer system of claim 16, further comprising:

seventh program instructions to define the parameter as service requests being received by the physical service-provider system falling below a pre-defined limit; and

wherein

the seventh instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.