System and Method for Identifying and Managing Service Disruptions Using Network and Systems Data

• US 20100271956A1
• Filed: 04/28/2009
• Published: 10/28/2010
• Est. Priority Date: 04/28/2009
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: Computer Associates Think Inc. (Broadcom, Inc.)
• Inventors: Mathur, Sumeet, Diwakar, Kiran P.
• Granted Patent: US 8,305,911 B2
• Time in Patent Office: Days
• US Class Current: 370/242
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: H04L 41/147 for predicting network behaviour

Abstract

A method for identifying disruptions using network and systems data includes receiving resource utilization information for a network component at a first time and receiving resource utilization information for the network component at a second time. The method also includes identifying a resource utilization pattern for the network component, predicting a resource utilization for the network component at a third time based on the resource utilization pattern, and determining whether the predicted resource utilization will breach a utilization threshold for the network component.

Claims

1. A method for identifying disruptions using network and systems data, comprising:

receiving, at an interface, resource utilization information for a network component at a first time;

receiving, at the interface, resource utilization information for the network component at a second time;

identifying a resource utilization pattern for the network component;

predicting a resource utilization for the network component at a third time based on the resource utilization pattern; and

determining whether the predicted resource utilization will breach a utilization threshold for the network component.

2. The method of claim 1, further comprising, in response to determining the predicted resource utilization will breach a utilization threshold for the network component, predicting an approximate time when the breach will occur.

3. The method of claim 2, further comprising:

determining a relationship between the network component and a business service; and

sending an alert indicating that a network component associated with the business service will breach a utilization threshold at the predicted time.

4. The method of claim 1, wherein identifying a resource utilization pattern comprises applying an Auto-Regressive Integrated Moving average (ARIMA) time series analysis.

5. The method of claim 1, further comprising retrieving a utilization threshold for the network component from a memory device.

6. The method of claim 1, further comprising, for each of a plurality of times, predicting resource utilization for the network component.

7. The method of claim 1, further comprising creating a resource utilization log for the network component, the resource utilization log comprising the resource utilization for the network component at the first time and the resource utilization for the network component at the second time.

8. A system for identifying disruptions using network and systems data, comprising:

an interface configured to;

receive resource utilization information for a network component at a first time;

receive resource utilization information for the network component at a second time; and

a processor configured to;

identify a resource utilization pattern for the network component;

predict a resource utilization for the network component at a third time based on the resource utilization pattern; and

determine whether the predicted resource utilization will breach a utilization threshold for the network component.

9. The system of claim 8, wherein the processor is further configured to, in response to determining the predicted resource utilization will breach a utilization threshold for the network component, predict an approximate time when the breach will occur.

10. The system of claim 9, wherein the processor is further configured to:

determine a relationship between the network component and a business service; and

send an alert indicating that a network component associated with the business service will breach a utilization threshold at the predicted time.

11. The system of claim 8, wherein a processor configured to identify a resource utilization pattern comprises a processor configured to apply an Auto-Regressive Integrated Moving average (ARIMA) time series analysis.

12. The system of claim 8, wherein the processor is further configured to retrieve a utilization threshold for the network component from a memory device.

13. The system of claim 8, wherein the processor is further configured to, for each of a plurality of times, predict resource utilization for the network component.

14. The system of claim 8, wherein the processor is further configured to create a resource utilization log for the network component, the resource utilization log comprising the resource utilization for the network component at the first time and the resource utilization for the network component at the second time.

15. A computer readable medium comprising software for identifying disruptions using network and systems data, the software comprising computer code such that when executed is operable to:

receive resource utilization information for a network component at a first time;

receive resource utilization information for the network component at a second time;

identify a resource utilization pattern for the network component;

predict a resource utilization for the network component at a third time based on the resource utilization pattern; and

determine whether the predicted resource utilization will breach a utilization threshold for the network component.

16. The medium of claim 15, wherein the code is further operable to, in response to determining the predicted resource utilization will breach a utilization threshold for the network component, predict an approximate time when the breach will occur.

17. The medium of claim 16, wherein the processor is further configured to:

determine a relationship between the network component and a business service; and

send an alert indicating that a network component associated with the business service will breach a utilization threshold at the predicted time.

18. The medium of claim 15, wherein code operable to identify a resource utilization pattern comprises code operable to apply an Auto-Regressive Integrated Moving average (ARIMA) time series analysis.

19. The medium of claim 15, wherein the code is further operable retrieve a utilization threshold for the network component from a memory device.

20. The medium of claim 15, wherein the code is further operable to create a resource utilization log for the network component, the resource utilization log comprising the resource utilization for the network component at the first time and the resource utilization for the network component at the second time.