USING EVENT CORRELATION AND SIMULATION IN AUTHORIZATION DECISIONS

• US 20110071811A1
• Filed: 09/18/2009
• Published: 03/24/2011
• Est. Priority Date: 09/18/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kuehr-McLaren, David Gerard, Sampathkumar, Govindaraj
• Application Number:
  US12/562,496
• Publication Number:
  US 20110071811A1
• Time in Patent Office: Days
• US Class Current: 703/13
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202

Abstract

Performance impacting operations (e.g., maintenance operations) performed on a system can, depending on a current state of the system, heavily impact the performance of the system, thus affecting a customer'"'"'s experience with the system. Functionality can be implemented to control execution of the performance impacting operations based on simulating the impact of executing the operation. Depending on the current state of the system, execution of the maintenance operations can be allowed, deferred, and even blocked. This can ensure that the performance of the system is not compromised.

Claims

1. A method comprising:

determining that servicing a request may result in a secondary event, wherein at least one of the secondary event and the servicing the request can affect performance that corresponds to a system;

identifying a performance metric associated with at least one of the secondary event and the servicing the request;

determining a current state of the system based, at least in part, on a current usage of resources of the system;

calculating an estimated value of the performance metric based, at least in part, on the current state of the system, the secondary event, and the servicing the request;

determining that the estimated value of the performance metric deviates from a threshold value of the performance metric; and

generating an indication that the servicing the request will result in a current value of the performance metric deviating from the threshold value.

2. The method of claim 1, wherein the calculating the estimated value of the performance metric comprises:

simulating the servicing the request based, at least in part, on the current state of the system; and

determining the estimated value of the performance metric based, at least in part, on said simulating the servicing the request.

3. The method of claim 1, wherein the performance that corresponds to the system comprises at least one of a performance of the system and a performance as represented by a key performance indicator value.

4. The method of claim 1, wherein the threshold value of the performance metric is determined based on at least one of a service level agreement and a financial risk score.

5. The method of claim 1, further comprising at least one of preventing the servicing the request, deferring the servicing the request, generating an alert indicating the current value of the performance metric deviating from the threshold value, and presenting a prompt requesting permission to service the request.

6. A method comprising:

determining that servicing a request for performing an operation on a system that can impact performance will not result in a secondary event;

identifying a performance metric associated with the servicing the request;

calculating an estimated value of the performance metric based, at least in part, on a state of the system, and the servicing the request;

determining that the estimated value of the performance metric deviates from a threshold value of the performance metric;

generating an indication that the servicing the request will result in a current value of the performance metric deviating from the threshold value of the performance metric; and

preventing the servicing the request.

7. The method of claim 6, wherein the state of the system indicates at least one of an average response time between receiving the request and the servicing the request, a number of incoming resource access requests, nature of the resource access requests, a percentage of the incoming resource access requests that are dropped, and a percentage of the incoming resource access requests serviced in a specified time interval.

8. The method of claim 6, further comprising:

determining that a second performance metric, which is associated with a second request for performing a second operation that can impact the performance, cannot be identified; and

preventing servicing the second request.

9. The method of claim 6, further comprising:

determining an inability to identify a secondary event resulting from a second request for performing a second operation that can impact the performance;

determining that a second performance metric associated with servicing the second request cannot be identified; and

preventing the servicing the second request.

10. The method of claim 6, further comprising:

determining, based on simulating servicing a second request for performing a second operation on the system, that the second request results in a second secondary event associated with the second request;

identifying a second performance metric associated with at least one of the simulating servicing the second request and the second secondary event;

determining a state of the system based, at least in part, on a current usage of resources of the system;

calculating an estimated value of the second performance metric based, at least in part, on the state of the system, the simulating servicing the second request, and the second secondary event;

determining that the estimated value of the second performance metric does not deviate from a threshold value of the second performance metric; and

allowing servicing the second request.

11. A computer program product for request authorization, the computer program product comprising:

a computer usable medium having computer usable program code embodied therewith, the computer usable program code configured to;

determine that servicing a request may result in a secondary event, wherein at least one of the secondary event and the servicing the request can affect performance that corresponds to a system;

identify a performance metric associated with at least one of the secondary event and the servicing the request;

determine a current state of the system based, at least in part, on a current usage of resources of the system;

calculate an estimated value of the performance metric based, at least in part, on the current state of the system, the secondary event, and the servicing the request;

determine that the estimated value of the performance metric deviates from a threshold value of the performance metric; and

generate an indication that the servicing the request will result in a current value of the performance metric deviating from the threshold value.

12. The computer program product of claim 11, wherein the computer usable program code configured to calculate the estimated value of the performance metric further comprises the computer usable program code configured to:

simulate the servicing the request based, at least in part, on the current state of the system; and

determine the estimated value of the performance metric based, at least in part, on the computer usable program code simulating the serving the request.

13. The computer program product of claim 11, wherein the performance that corresponds to the system comprises at least one of a performance of the system and a performance as represented by a key performance indicator value.

14. The computer program product of claim 11, wherein the computer usable program code is further configured to:

determine that servicing a second request for performing an operation on the system that can impact performance will not result in a secondary event;

identify a second performance metric associated with the servicing the second request;

calculate an estimated value of the second performance metric based, at least in part, on the current state of the system, and the servicing the second request;

determine that the estimated value of the second performance metric deviates from a threshold value of the second performance metric;

generate an indication that the servicing the second request will result in a current value of the second performance metric deviating from the threshold value of the second performance metric; and

preventing the servicing the second request.

15. The computer program product of claim 11, wherein the current state of the system indicates at least one of an average response time between receiving the request and the servicing the request, a number of incoming resource access requests, nature of the resource access requests, a percentage of the incoming resource access requests that are dropped, and a percentage of the incoming resource access requests serviced in a specified time interval.

16. The computer program product of claim 11, wherein the computer usable program code is configured to:

determine that a second performance metric, which is associated with a second request for performing a second operation that can impact the performance, cannot be identified; and

prevent servicing the second request.

17. The computer program product of claim 11, wherein the computer usable program code is configured to:

determine an inability to identify a secondary event resulting from a second request for performing a second operation that can impact the performance;

determine that a second performance metric associated with servicing the second request cannot be identified; and

prevent the servicing the second request.

18. An apparatus comprising:

a processor;

a network interface coupled with the processor;

an authorization unit configured to control servicing a request based on simulating the request, the authorization unit comprising;

a look-ahead engine operable to;

determine that the servicing the request may result in a secondary event, wherein at least one of the secondary event and servicing the request can affect performance that corresponds to a system;

identify a performance metric associated with at least one of the secondary event and the servicing the request;

a performance metric calculator operable to;

determine a current state of the system based, at least in part, on a current usage of resources of the system;

calculate an estimated value of the performance metric based, at least in part, on the current state of the system, the secondary event, and the servicing the request;

a decision unit operable to;

determine that the estimated value of the performance metric deviates from a threshold value of the performance metric; and

generate an indication that the servicing the request will result in a current value of the performance metric deviating from the threshold value.

19. The apparatus of claim 18, further comprising:

the look-ahead engine operable to;

determine, based on simulating servicing a second request for performing a second operation on the system, that the second request results in a second secondary event, wherein at least one of the second secondary event and servicing the second request and can affect the performance that corresponds to the system;

identify a second performance metric associated with at least one of the second secondary event and the simulating the servicing the second request;

the performance metric calculator operable to;

determine a state of the system based, in part, on a current usage of the resources of the system;

calculate an estimated value of the second performance metric based, at least in part, on the state of the system, the second secondary event, and the simulating the servicing second request;

the decision unit operable to;

determine that the estimated value of the second performance metric does not deviate from a threshold value of the second performance metric; and

allow servicing the second request.

20. The apparatus of claim 18, wherein the authorization unit comprises one or more machine-readable media.