Systems and methods for analyzing application usage on a user device

Patent metadata

Field	Value
Publication number	US-2017353565-A1
Application number	US-201615174760-A
Country	US
Kind code	A1
Filing date	Jun 6, 2016
Priority date	Jun 6, 2016
Publication date	Dec 7, 2017
Grant date	—

Abstract

Systems and methods are provided for analyzing application usage on a user device and optimizing application and license distribution for user devices in an enterprise. An example system includes a management server and a data server. The management server can provide instructions to the user device to install a tracking application that gathers application-usage data using built-in functionality of the user device. The data server can receive and compile the application-usage data, creating compiled usage data. Using this compiled usage data, the management server can execute a rules engine to determine an action to take associated with at least one application on the user device, such as redistributing application licenses.

First claim

What is claimed is:

1 . A system for analyzing application usage on a user device, comprising:
a management server that provides instructions to the user device to install a tracking application on the user device, wherein the tracking application gathers application-usage data using a native Application Program Interface (API) on the user device; and a data server that receives the application-usage data from the tracking application and compiles the application-usage data to create compiled usage data, wherein the management server executes a rules engine that uses the compiled usage data to determine an action to take associated with at least one application accessed from the user device.

2 . The system of claim 1 , further comprising an identity server that monitors login requests for a first application, installed on the user device, and a second application, accessed on the Internet by the user device, wherein the identity server provides login data associated with the login requests to the data server.

3 . The system of claim 2 , wherein the compiled usage data is based, at least in part, on the login data provided by the identity server.

4 . The system of claim 1 , wherein the rules engine performs an optimization determination for distributing licenses to multiple user devices based on optimization rules applied to the compiled usage data.

5 . The system of claim 4 , wherein the action carried out by the rules engine comprises prompting an administrator, through an administrator console, to authorize a redistribution of application or license privileges for at least one user.

6 . The system of claim 4 , wherein the optimization rules can be created, modified, or deleted through an administrator console.

7 . The system of claim 1 , further comprising a graphics engine that generates a graphical representation based on the compiled usage data and displays the graphical representation on a graphical user interface (GUI).

8 . A non-transitory, computer-readable medium containing instructions that, when executed by a processor, performs stages for analyzing application usage on a user device, the stages comprising:
providing instructions, from a management server to the user device, to install a tracking application on the user device, wherein the tracking application gathers application-usage data using a native API on the user device; receiving, at a data server, the application-usage data from the tracking application; compiling the application-usage data at the data server to create compiled usage data; and executing a rules engine that uses the compiled usage data to determine an action to take associated with at least one application accessed from the user device.

9 . The non-transitory, computer-readable medium of claim 8 , the stages further comprising:
monitoring, at an identity server, login requests for a first application installed on the user device and a second application accessed on the Internet by the user device; and providing login data associated with the login requests to the data server.

10 . The non-transitory, computer-readable medium of claim 9 , wherein the compiled usage data is based, at least in part, on the login data provided by the identity server.

11 . The non-transitory, computer-readable medium of claim 8 , wherein the rules engine performs an optimization determination for distributing licenses to multiple user devices based on optimization rules applied to the compiled usage data.

12 . The non-transitory, computer-readable medium of claim 11 , wherein the action carried out by the rules engine comprises prompting an administrator, through an administrator console, to authorize a redistribution of application or license privileges for at least one user.

13 . The non-transitory, computer-readable medium of claim 11 , wherein the optimization rules can be created, modified, or deleted through an administrator console.

14 . The non-transitory, computer-readable medium of claim 8 , the stages further comprising:
generating a graphical representation, by a graphics engine, based on the compiled usage data; and displaying the graphical representation on a GUI.

15 . A method for analyzing application usage on a user device, comprising:
providing instructions, from a management server to the user device, to install a tracking application on the user device, wherein the tracking application gathers application-usage data using a native API on the user device; receiving, at a data server, the application-usage data from the tracking application; compiling the application-usage data at the data server to create compiled usage data; and executing a rules engine that uses the compiled usage data to determine an action to take associated with at least one application accessed from the user device.

16 . The method of claim 15 , further comprising:
monitoring, at an identity server, login requests for a first application installed on the user device and a second application accessed on the Internet by the user device; and providing login data associated with the login requests to the data server.

17 . The method of claim 15 , wherein the rules engine performs an optimization determination for distributing licenses to multiple user devices based on optimization rules applied to the compiled usage data.

18 . The method of claim 17 , wherein the action carried out by the rules engine comprises prompting an administrator, through an administrator console, to authorize a redistribution of application or license privileges for at least one user.

19 . The method of claim 17 , wherein the optimization rules can be created, modified, or deleted through an administrator console.

20 . The method of claim 15 , further comprising:
generating a graphical representation, by a graphics engine, based on the compiled usage data; and displaying the graphical representation on a GUI.

Assignees

• Airwatch Llc

Inventors

• Kumar Bhavesh Krishna
• Mishra Abhishek
• Alugubelli Nigitha

Classifications

• H04L67/02

  based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• H04L67/22 Primary

  Electricity · mapped topic

• H04L43/08

  Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title

• H04L67/36

  Electricity · mapped topic