DYNAMIC COGNITIVE OPTIMIZATION OF WEB APPLICATIONS

• US 20180246860A1
• Filed: 02/27/2017
• Published: 08/30/2018
• Est. Priority Date: 02/27/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Charron, David S., Gilbertson, Kyle E., Konik, Rafal P., Lawrence, Nicholas T.
• Granted Patent: US 10,567,524 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method for dynamically and cognitively generating and delivering web build layers for web applications is provided. The method may include receiving, by a computer, file requests associated with web applications. The method may further include, in response to receiving the file requests, identifying resource files associated with the file requests and the web applications by querying, by a computer, at least one application server for the resource files. Additionally, the method may include determining, by a computer, related resource files based on the identified resource files by tracking information and user activity associated with the identified resource files. The method may also include generating web build layers by grouping, by a computer, the determined related resource files. The method may further include delivering the generated optimized web build layers to the web applications based on the tracked information and user activity.

Claims

1. A method for dynamically and cognitively generating and delivering web build layers for a web application, the method comprising:

receiving, by a computer, a file request associated with the web application;

in response to receiving the file request, identifying a plurality of resource files associated with the received file request and the web application by querying, by a computer, at least one application server for the plurality of resource files;

determining, by a computer, a plurality of related resource files based on the plurality of identified resource files by tracking a plurality of information and user activity associated with the plurality of identified resource files, wherein tracking the user activity comprises determining a type of user and target audience for the plurality of identified resources files, and wherein determining the type of user and target audience comprises determining whether the plurality of identified resources files are restricted to specifically identified users and determining whether the identified resource files are for business or personal use;

generating a plurality of web build layers by grouping, by a computer, the plurality of determined related resource files based on the tracked plurality of information and user activity; and

delivering the generated plurality of web build layers to the web application based on the tracked plurality of information and user activity.

2. The method of claim 1, wherein the web application comprises a plurality of web content.

3. The method of claim 1, wherein the received file request comprises a request for loading content on the web application.

4. The method of claim 1, wherein the plurality of identified resource files is selected from a group comprising a plurality of cascading file sheets (CSS) files, a plurality of JavaScript files, a plurality of image files, and a plurality of uniform resource locator (URL) files.

5. The method of claim 1, wherein the plurality of web build layers comprise the determined plurality of related resource files, and wherein determining the plurality of related resource files further comprises:

determining at least one similarity between the plurality of identified resource files based on the tracked plurality of information and user activity; and

grouping the plurality of identified resource files based on the determined at least one similarity.

6. The method of claim 1, wherein the tracked plurality of information and user activity is selected from a group comprising at least one dependency relationship between the plurality of identified resource files, a plurality of metadata associated with the plurality of identified resource files, a plurality of hypertext transfer protocol (HTTP) headers associated with the plurality of received file requests, at least one type and a size associated with the plurality of identified resource files, a use frequency associated with the plurality of identified resource files wherein the use frequency corresponds to a user using the plurality of identified resources files, and a type of user using the plurality of identified resource files.

7. The method of claim 1, wherein delivering the generated plurality of web build layers to the web application based on the tracked plurality of information and user activity further comprises:

restricting delivery of the generated plurality of web build layers based on the tracked plurality of information and user activity.

8. A computer system for dynamically and cognitively generating and delivering web build layers for a web application, comprising:

one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising;

receiving, by a computer, a file request associated with the web application;

in response to receiving the file request, identifying a plurality of resource files associated with the received file request and the web application by querying, by a computer, at least one application server for the plurality of resource files;

determining, by a computer, a plurality of related resource files based on the plurality of identified resource files by tracking a plurality of information and user activity associated with the plurality of identified resource files, wherein tracking the user activity comprises determining a type of user and target audience for the plurality of identified resources files, and wherein determining the type of user and target audience comprises determining whether the plurality of identified resources files are restricted to specifically identified users and determining whether the identified resource files are for business or personal use;

generating a plurality of web build layers by grouping, by a computer, the plurality of determined related resource files based on the tracked plurality of information and user activity; and

delivering the generated plurality of web build layers to the web application based on the tracked plurality of information and user activity.

9. The computer system of claim 8, wherein the web application comprises a plurality of web content.

10. The computer system of claim 8, wherein the received file request comprises a request for loading content on the web application.

11. The computer system of claim 8, wherein the plurality of identified resource files is selected from a group comprising a plurality of cascading file sheets (CSS) files, a plurality of JavaScript files, a plurality of image files, and a plurality of uniform resource locator (URL) files.

12. The computer system of claim 8, wherein the plurality of web build layers comprise the determined plurality of related resource files, and wherein determining the plurality of related resource files further comprises:

determining at least one similarity between the plurality of identified resource files based on the tracked plurality of information and user activity; and

grouping the plurality of identified resource files based on the determined at least one similarity.

13. The computer system of claim 8, wherein the tracked plurality of information and user activity is selected from a group comprising at least one dependency relationship between the plurality of identified resource files, a plurality of metadata associated with the plurality of identified resource files, a plurality of hypertext transfer protocol (HTTP) headers associated with the plurality of received file requests, at least one type and a size associated with the plurality of identified resource files, a use frequency associated with the plurality of identified resource files wherein the use frequency corresponds to a user using the plurality of identified resources files, and a type of user using the plurality of identified resource files.

14. The computer system of claim 8, wherein delivering the generated plurality of web build layers to the web application based on the tracked plurality of information and user activity further comprises:

restricting delivery of the generated plurality of web build layers based on the tracked plurality of information and user activity.

15. A computer program product for dynamically and cognitively generating and delivering web build layers for a web application, comprising:

one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions executable by a processor, the program instructions comprising;

program instruction to receive, by a computer, a file request associated with the web application;

in response to receiving the file request, program instruction to identify a plurality of resource files associated with the received file request and the web application by querying, by a computer, at least one application server for the plurality of resource files;

program instruction to determine, by a computer, a plurality of related resource files based on the plurality of identified resource files by tracking a plurality of information and user activity associated with the plurality of identified resource files, wherein tracking the user activity comprises determining a type of user and target audience for the plurality of identified resources files, and wherein determining the type of user and target audience comprises determining whether the plurality of identified resources files are restricted to specifically identified users and determining whether the identified resource files are for business or personal use;

program instruction to generate a plurality of web build layers by grouping, by a computer, the plurality of determined related resource files based on the tracked plurality of information and user activity; and

program instruction to deliver the generated plurality of web build layers to the web application based on the tracked plurality of information and user activity.

16. The computer program product of claim 15, wherein the received file request comprises a request for loading content on the web application.

17. The computer program product of claim 15, wherein the plurality of identified resource files is selected from a group comprising a plurality of cascading file sheets (CSS) files, a plurality of JavaScript files, a plurality of image files, and a plurality of uniform resource locator (URL) files.

18. The computer program product of claim 15, wherein the plurality of web build layers comprise the determined plurality of related resource files, and wherein the program instructions to determine the plurality of related resource files further comprises:

program instructions to determine at least one similarity between the plurality of identified resource files based on the tracked plurality of information and user activity; and

program instructions to group the plurality of identified resource files based on the determined at least one similarity.

19. The computer program product of claim 15, wherein the tracked plurality of information and user activity is selected from a group comprising at least one dependency relationship between the plurality of identified resource files, a plurality of metadata associated with the plurality of identified resource files, a plurality of hypertext transfer protocol (HTTP) headers associated with the plurality of received file requests, at least one type and a size associated with the plurality of identified resource files, a use frequency associated with the plurality of identified resource files wherein the use frequency corresponds to a user using the plurality of identified resources files, and a type of user using the plurality of identified resource files.

20. The computer program product of claim 15, wherein the program instructions to deliver the generated plurality of web build layers to the web application based on the tracked plurality of information and user activity further comprises:

program instructions to restrict delivery of the generated plurality of web build layers based on the tracked plurality of information and user activity.