eG Monitoring
 

Measures reported by VDIBoxDesktopTest

If a user complains of issues when accessing or working with a desktop, administrators must be able to quickly zoom into that user's session to identify the desktop that the user is currently logged into and determine what is wrong with the user's session - is it inactive? Is it awaiting a refresh? Has the session logged out? This test provides administrators with this insight. This test auto-discovers all users who are currently logged into desktops and reports on the state of each user's session, so that problems (if any) with desktop sessions can be isolated and fixed.

The measures made by this test are as follows:

Measurement Description Measurement Unit Interpretation
State Indicates the curret status of this user's desktop session.   The values that this measure can take and their corresponding numeric values are discussed in the table below:
Measure Value Description Numeric Value
Active User session is active. It is also current, i.e., the user session has started after the last desktop refresh cycle. 1
Pending refresh User session is active. However, it is active beyond the last desktop refresh cycle. The user had logged in before the last desktop refresh cycle and has not logged out yet. 2
On Hold A user had logged in and logged out after the last desktop refresh cycle. 3
In Use The desktop session is displaying a login screen on a kiosk-style client. 4
Logging in The desktop session is logged out and ready to accept a new login on a kiosk-style client. The user is in the process of logging in. 5
Kiosk ready The desktop session is displaying a login screen on a kiosk-style client. 6
Kiosk The desktop session is logged out and ready to accept a new login on a kiosk-style client. 7

Note:

By default, this measure reports the above-mentioned Measure Values while indicating the session state. However, in the graph of this measure, the same will be represented using the corresponding numeric equivalents only.

To know which desktop the user is currently logged into, use the detailed diagnosis of this measure.