TIME FRAME BASED DATA ANALYSIS

• US 20140013265A1
• Filed: 03/30/2011
• Published: 01/09/2014
• Est. Priority Date: 03/30/2011
• Status: Abandoned Application

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Micro Focus LLC (Open Text Corporation)
• Inventors: Goranka, Medhi
• Application Number:
  US14/005,486
• Publication Number:
  US 20140013265A1
• Time in Patent Office: Days
• US Class Current: 715/772
• CPC Class Codes: G06F 11/323 Visualisation of programs or trace data
• CPC Class Codes: G06F 11/328 Computer systems status display G06F11/327 takes precedence
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range

Abstract

Methods, machine-readable media, and systems are provided for timeframe based data analysis. One method for timeframe base data analysis includes providing a number of performance metrics (252, 352) selected from a group of performance metrics (102, 252, 352) and causing a display of data for the number of performance metrics in a number of graphs (258, 358) on a graphical user interface (GUI) (250, 350), wherein the data displayed include data from a timeframe indicated by a timeframe selector (254, 354).

Claims

1. A computing device implemented method for timeframe based data analysis, comprising:

providing a number of performance metrics selected from a group of performance metrics; and

causing a display of data for the number of performance metrics n a number of graphs on a graphical user interface (GUI), wherein the data displayed include data from a timeframe indicated by a timeframe selector.

2. The method of claim 1, wherein displaying data for the number of performance metrics includes the timeframe selector defining a period of tine for which data for the number of performance metrics is displayed.

3. The method of claim 1, wherein the method includes updating the data displayed based on the timeframe selector defining a number of timeframe selections.

4. The method of claim 1, wherein displaying data for the number of performance metrics includes displaying one or more of the number of performance metrics on a first graph and one or more of the number of performance metrics on a second graph.

5. The method of claim 1, wherein the number of performance metrics from a group of performance metrics include a number of symptom based performance metrics and a number of cause based performance metrics.

6. The method of claim 5, wherein the number of symptom based performance metrics include an end user performance metric and the number of cause based performance metrics include an infrastructure performance metric

7. The method of claim 1, wherein the method includes displaying a symptom based performance metric on a time range of the GUI as a reference performance metric.

8. The method of claim 1, wherein the method includes analyzing a symptom based performance metric by comparing a number of cause based performance metrics.

9. The method of claim 8, wherein comparing the number of cause based performance metrics identifies a cause of a problem indicated by the symptom based performance metric.

10. A machine-readable non-transitory medium storing a set of instructions for timeframe based data analysis executable by a machine to cause the machine to:

receive a selection of a symptom based performance metric;

receive a selection of a number of cause based performance metrics for comparison to the symptom based performance metric;

receive a selection of a timeframe for which to display data for the symptom based performance metric and the number of cause based performance metrics; and

cause a display of data from the symptom based performance metric and the number of cause base performance metrics for the selected timeframe.

11. The machine-readable non-transitory medium of claim 10, wherein the instructions are executable by the machine to cause the machine to control the timeframe for which to display data via a timeframe selector that is represented graphically.

12. The machine readable non-transitory medium of claim 11, wherein the instructions are executable by the machine to cause the machine to display the symptom based performance metric on a time range display.

13. The machine readable non -transitory medium of claim 10, wherein the instructions are executable by the machine to cause the machine to display the number of cause based performance metrics in a number of graphs.

14. The machine readable non -transitory medium of claim 10, wherein the instructions are executable by the machine to cause the machine to identify a cause of a problem indicated by the symptom based performance metric based on the display of the number of cause based performance metrics.

15. A system for timeframe based data analysis, comprising:

a machine including processor resources; and

machine-readable instructions that, when executed by the processor resources, cause the processor resources to;

select a number of performance metrics from group of performance metrics;

retrieve data for the number of selected performance metrics; and

display data for the number of selected performance metrics, wherein the display of data for the number of selected performance metrics includes data from a selected a timeframe via a timeframe selector and wherein the display includes a reference performance metric displayed proximately to the timeframe selector.