Display and analysis of information related to monitored elements of a computer system

• US 10,228,825 B1
• Filed: 10/16/2013
• Issued: 03/12/2019
• Est. Priority Date: 10/16/2013
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Inventors: Beck, Laura G., Smith, Timothy L.
• Primary Examiner(s): Young, Kevin L
• Assistant Examiner(s): Silverman, Seth A
• Application Number:
  US14/055,087
• Time in Patent Office: 1,973 Days
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 41/142 using statistical or mathematical methods
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/16 Threshold monitoring

Abstract

In accordance with the teachings of the present disclosure, a method of generating a graphical user interface is disclosed. The method includes monitoring a plurality of elements of a computer system and collecting data related to a monitored characteristic of each element of the plurality of elements. The method also includes analyzing the collected data at a first time to identify a pattern and analyzing the collected data at a second time to determine whether the collected data has deviated from the identified pattern. The method further includes generating an alert record in response to a determination that the collected data has deviated from the identified pattern and storing the alert record. Additionally, the method includes generating graphical display information related to the alert record.

Claims

1. A method of generating a graphical user interface, the method comprising:

monitoring a plurality of elements of a computer system;

collecting data related to a monitored characteristic of each element of the plurality of elements;

analyzing, using multivariate statistical analysis, the collected data at a first time to identify a pattern, wherein the collected data at the first time comprises historical data;

analyzing the collected data at a second time to determine whether the collected data has deviated from the identified pattern;

generating an alert record in response to a determination that the collected data has deviated from the identified pattern, wherein generating the alert record comprises;

identifying a collective sequence of features across a first monitored characteristic and a second monitored characteristic of a particular element of the plurality of elements for which the collected data has deviated from the identified pattern, such that the features in sequence collectively constitute the deviation;

identifying a time period during which the collected data related to the monitored characteristic of the particular element deviated from the identified pattern, wherein the time period comprises a start time indicating when the deviation from the identified pattern was detected; and

generating the alert record including an identification of the particular element;

storing the alert record;

generating for display a graph of information for a particular time period related to the monitored characteristics of the subset of the plurality of monitored elements for which the collected data has deviated from the identified pattern;

generating graphical display information related to the first monitored characteristic of a first element of the plurality of elements for which the collected data has deviated from the identified pattern; and

generating graphical display information related to the second monitored characteristic of the first element of the plurality of elements for which the collected data has deviated from the identified pattern,

wherein the information related to the first monitored characteristic and the information related to the second monitored characteristic are displayed together on a graph while excluding information related to monitored characteristics for which the collected data has not deviated from the identified pattern.

2. The method of claim 1, wherein analyzing the collected data at the first time to identify a pattern comprises:

analyzing historical data related to the monitored characteristics at the first time, the historical data including data collected before the first time; and

identifying the pattern in the historical data.

3. The method of claim 1, wherein analyzing the collected data at the second time to determine whether the collected data has deviated from the identified pattern comprises:

analyzing recent data related to the monitored characteristics at the second time, wherein the recent data is data collected before the second time and after the first time; and

determining whether the recent data has deviated from the identified pattern.

4. The method of claim 1, wherein identifying the monitored characteristic of the particular element for which the collected data has deviated from the identified pattern comprises:

identifying the first monitored characteristic of the particular element for which the collected data has deviated from the identified pattern;

identifying the second monitored characteristic of the particular element for which the collected data has deviated from the identified pattern;

identifying the time period during which the collected data related to the first monitored characteristic and the second monitored characteristic deviated from the identified pattern, wherein the collected data related to the first monitored characteristic deviated from the identified pattern during a first time period and the collected data related to the second monitored characteristic deviated from the identified pattern during a second time period; and

generating the alert record including an identification of the particular element.

5. The method of claim 1, wherein generating the alert record in response to a determination that the collected data has deviated from the identified pattern comprises:

identifying the first monitored characteristic of a second element of the plurality of elements for which the collected data has deviated from the identified pattern;

identifying the second monitored characteristic of the second element of the plurality of elements for which the collected data has deviated from the identified pattern; and

generating the alert record including an identification of the first element and the second element.

6. A non-transitory computer-readable storage medium, comprising computer-executable instructions carried on the computer readable medium, the instructions readable by a processor and, when read and executed, configured to cause the processor to:

monitor a plurality of elements of a computer system;

continuously collect data related to a monitored characteristic of each element of the plurality of elements;

analyze, using multivariate statistical analysis, a first subset of the collected data at a first time to identify a pattern;

analyze a second subset of the collected data at a second time to determine whether the collected data has deviated from the identified pattern;

generate an alert record in response to a determination that the second subset of the collected data has deviated from the identified pattern, wherein generating the alert record comprises;

identifying a collective sequence of features across a first monitored characteristic and a second monitored characteristic of a particular element of the plurality of elements for which the second subset of the collected data has deviated from the identified pattern such that the features in sequence collectively constitute the deviation;

identifying a time period during which the second subset of the collected data related to the monitored characteristic of the particular element deviated from the identified pattern; and

generating the alert record including an identification of the particular element;

store the alert record;

generate for display a graph of information related to the monitored characteristics of the subset of the plurality of monitored elements for which the collected data has deviated from the identified pattern;

generate graphical display information related to the first monitored characteristic of a first element of the plurality of elements for which the collected data has deviated from the identified pattern; and

generate graphical display information related to the second monitored characteristic of the first element of the plurality of elements for which the collected data has deviated from the identified pattern,

wherein the information related to the first monitored characteristic and the information related to the second monitored characteristic are displayed together on a graph while excluding information related to monitored characteristics for which the collected data has not deviated from the identified pattern.

7. The non-transitory computer-readable storage medium of claim 6, wherein analyzing the first subset of the collected data at the first time to identify the pattern comprises:

analyzing historical data related to the monitored characteristics at the first time, the historical data including data collected before the first time; and

identifying a pattern in the historical data.

8. The non-transitory computer-readable storage medium of claim 6, wherein analyzing the second subset of the collected data at the second time to determine whether the second subset of the collected data has deviated from the identified pattern comprises:

analyzing recent data related to the monitored characteristics at the second time, wherein the recent data is data collected before the second time and after the first time; and

determining whether the recent data has deviated from the identified pattern.

9. The non-transitory computer-readable storage medium of claim 6, wherein identifying the monitored characteristic of the particular element for which the second subset of the collected data has deviated from the identified pattern comprises:

identifying the first monitored characteristic of the particular element for which the second subset of the collected data has deviated from a first identified pattern;

identifying the second monitored characteristic of the particular element for which the second subset of the collected data has deviated from a second identified pattern; and

generating the alert record including an identification of the particular element.

10. The non-transitory computer-readable storage medium of claim 6, wherein generating the alert record in response to a determination that the second subset of the collected data has deviated from the identified pattern comprises:

identifying the first monitored characteristic of a second element of the plurality of elements for which the second subset of the collected data has deviated from the identified pattern;

identifying the second monitored characteristic of the second element of the plurality of elements for which the second subset of the collected data has deviated from the identified pattern; and

generating the alert record including an identification of the first element and the second element.

11. The non-transitory computer-readable storage medium of claim 6, wherein the second subset of the collected data comprises the first subset of the collected data.

12. An apparatus for monitoring a plurality of elements of a computer system, the apparatus comprising:

a processor; and

a memory communicatively coupled to the processor, the memory comprising instructions operable, when executed by the processor, to cause the processor to;

monitor a plurality of elements of a computer system;

collect data related to a monitored characteristic of each element of the plurality of elements;

analyze, using multivariate statistical analysis, the collected data at a first time to identify a pattern;

analyze the collected data at a second time to determine whether the collected data has deviated from the identified pattern;

generate an alert record in response to a determination that the collected data has deviated from the identified pattern, wherein generating the alert record comprises;

identifying a collective sequence of features across a first monitored characteristic and a second monitored characteristic of the particular element of the plurality of elements for which the collected data has deviated from the identified pattern such that the features in sequence collectively constitute the deviation; and

identifying a time period during which the collected data related to the monitored characteristic of the particular element deviated from the identified pattern;

store the alert record;

generate for display a graph of information related to the monitored characteristic of the subset of the plurality of monitored elements for which the collected data has deviated from the identified pattern;

select a particular element from the subset of the plurality of monitored elements identified in the alert record;

generate for display a graph of information related to the monitored characteristics of the particular element;

generate graphical display information related to the first monitored characteristic of a first element of the plurality of elements for which the collected data has deviated from the identified pattern; and

generate graphical display information related to the second monitored characteristic of the first element of the plurality of elements for which the collected data has deviated from the identified pattern,

wherein the information related to the first monitored characteristic and the information related to the second monitored characteristic are displayed together on a graph while excluding information related to monitored characteristics for which the collected data has not deviated from the identified pattern.

13. The apparatus of claim 12, wherein analyzing the collected data at the first time to identify the pattern comprises:

analyzing historical data related to the monitored characteristics at the first time, the historical data including data collected before the first time; and

identifying a pattern in the historical data.

14. The apparatus of claim 12, wherein analyzing the collected data at the second time to determine whether the collected data has deviated from the identified pattern comprises:

analyzing recent data related to the monitored characteristics at the second time, wherein the recent data is data collected before the second time and after the first time; and

determining whether the recent data has deviated from the identified pattern.

15. The apparatus of claim 12, wherein identifying the monitored characteristic of the particular element for which the collected data has deviated from the identified pattern comprises:

identifying the first monitored characteristic of the particular element for which the collected data has deviated from a first identified pattern;

identifying the second monitored characteristic of the particular element for which the collected data has deviated from a second identified pattern;

identifying the time period during which the collected data related to the first monitored characteristic and the second monitored characteristic deviated from the identified pattern; and

generating the alert record including an identification of the particular element.

16. The apparatus of claim 12, wherein generating the alert record in response to a determination that the collected data has deviated from the identified pattern comprises:

identifying the first monitored characteristic of a second element of the plurality of elements for which the collected data has deviated from a first identified pattern;

identifying the second monitored characteristic of the second element of the plurality of elements for which the collected data has deviated from a second identified pattern; and

generating the alert record including an identification of the first element and the second element.