EFFECT OF OPERATIONS ON APPLICATION REQUESTS

• US 20180004819A1
• Filed: 06/30/2016
• Published: 01/04/2018
• Est. Priority Date: 06/30/2016
• Status: Active Grant

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: Shuvali, Haim, Mor, Noam, Offer, Guy, Kabizon, Avi, Ron, Meir
• Granted Patent: US 10,459,937 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/323 Visualisation of programs or trace data
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/273 Asynchronous replication or reconciliation
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 2201/865 Monitoring of software
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet

Abstract

A plurality of completion times associated with an application request may be obtained. The plurality of completion times may include a first completion time and a second completion time. A plurality of response times associated with a first asynchronous operation triggered by the application request may be obtained. The plurality of completion times may include a first response time associated with the first completion time and a second response time associated with the second completion time. A first correlation score may be determined describing an effect of the first asynchronous operation on the application request based on the first completion time, the second completion time, the first response time, and the second response time. Visualization data may be generated representing the first correlation score.

Claims

1. A non-transitory machine-readable storage medium comprising instructions executable by a processing resource to:

obtain a plurality of completion times associated with an application request, wherein the plurality of completion times comprises a first completion time and a second completion time;

obtain a plurality of response times associated with a first asynchronous operation triggered by the application request, wherein the plurality of response times comprises a first response time associated with the first completion time and a second response time associated with the second completion time;

determine a first correlation score describing an effect of the first asynchronous operation on the application request based on the first completion time, the second completion time, the first response time, and the second response time; and

generate visualization data representing the first correlation score.

2. The non-transitory machine-readable storage medium of claim 1, comprising

instructions executable by the processing resource to obtain a third completion time associated with the application request;

instructions executable by the processing resource to obtain a third response time associated with the first asynchronous operation;

instructions executable by the processing resource to update the first correlation score with the third completion time and the third completion time; and

instructions executable by the processing resource to update the visualization data to represent the updated first correlation score.

3. The non-transitory machine-readable medium of claim 1, wherein the application request is a web page request, and wherein the plurality of completion times associated with the application request each describe a load time of the web page.

4. The non-transitory machine-readable medium of claim 1, wherein the application request is a user input, and wherein the plurality of completion times associated with the application request each describe a wait time after the user input.

5. The non-transitory machine-readable medium of claim 2, comprising

instructions executable by the processing resource to obtain a plurality of response times associated with a second asynchronous operation triggered by the application request, wherein the plurality of response times associated with the second asynchronous operation comprises a fourth response time associated with the first completion time and a fifth response time associated with the first completion time;

instructions executable by the processing resource to determine a second correlation score describing an effect of the second asynchronous operation on a completion of the application request based on the first response time, the second response time, the fourth completion time, and the fifth completion time; and

instructions executable by the processing resource to generate visualization data representing the second correlation score.

6. The non-transitory machine-readable medium of claim 1, wherein the first correlation score is based on a Pearson correlation.

7. The non-transitory machine-readable medium of claim 1, comprising

instructions executable by the processing resource to obtain a third completion time associated with a second application request;

and

instructions executable by the processing resource to group the application request with the second application request.

8. A computing device comprising:

a query engine to

obtain a first completion time associated with an application request;

obtain a first response time associated with a first asynchronous operation triggered by the application request, and

obtain a second response time associated with a second asynchronous operation triggered by the application request;

a correlation engine to

determine a first correlation score describing an effect of the first asynchronous operation on the application request based on the first completion time and the first response time,

determine a second correlation score describing an effect of the second asynchronous operation on the application request based on the first completion time and the second response time; and

a visualization engine to generate visualization data representing the first correlation score and the second correlation score.

9. The computing device of claim 8, wherein the query engine is to obtain a third response time associated with the first asynchronous operation and wherein the correlation engine is to update the first correlation score based on the third response time.

10. The computing device of claim 8, wherein the query engine is to obtain a second completion time associated with the application request, and the correlation engine is to update the first correlation score based on the second completion time.

11. The computing device of claim 8, wherein the application request is a web page request, and wherein the first completion time describes a load time of the web page.

12. The computing device of claim 8, wherein the application request is a user input in a mobile application, and wherein the first completion time describes a wait time between the user input and the response of the mobile application.

13. The computing device of claim 8, wherein the first and the second correlation scores are determined using a modified Pearson process.

14. The computing device of claim 8, wherein the query engine is to obtain a second completion time associated with a second application request, and comprising a grouping engine to group the second application request with the application request.

15. A method comprising:

obtaining, by a processing resource, a first completion time associated with a first application request;

obtaining, by the processing resource, a first response time associated with a first operation triggered by the first application request;

determining, by the processing resource, a first correlation score describing an effect of the first operation on the first application request based on the first response time and the first response time;

obtaining, by the processing resource, a second completion time associated with a second application request;

obtaining, by the processing resource, a second response time associated with a second operation triggered by the second application request; and

updating, by the processing resource, the first correlation score based on the second response time and the second response time.

16. The method of claim 15, wherein the first application request is a web page request and the first operation is an XML HTTP request.

17. The method of claim 15, wherein the application request is a user input in a mobile application, and wherein the first response time describes a lag time between the user input and a visible response of the mobile application to the user input.

18. The method of claim 15, comprising

determining, by the processing resource, that the first application request and the second application request are similar;

and

determining, by the processing resource, that the first operation and the second operation are similar.

19. The method of claim 18, comprising

obtaining, by the processing resource, a third completion time associated with a third application request;

obtaining, by the processing resource, a third response time associated with a third operation triggered by the third application request;

determining, by the processing resource, that the third application request and the first application request are dissimilar;

determining, by the processing resource, a second correlation score describing an effect of the third operation on the third application request based on the third completion time and the third completion time.

20. The method of claim 15, comprising displaying the updated first correlation score on an output device.