Citrix Workspace Environment Management – Memory Management

After testing out the excellent CPU management features in Citrix Workspace Environment Management (WEM), I wanted to test out how well it handled applications that were particularly greedy with RAM consumption.

To start – I have a single Windows Server 2012R2 Session Host, with 4GB of RAM, and a single vCPU, running on vSphere:


Limitations for this VM have been individually configured as follows:





I wanted to use limitations to give a performance baseline. Although this is much lower than most Session Hosts would likely be – it will prove the concept for this test.

Next I configured the Session Host with the WEM Agent and imported the default baselines as per Citrix documentation. Within the Console, we can then see the Memory Management options:


According to the Administration Guide, this enables the following:


For the purposes of this test, I am going to set the idle limit time to 5 minutes. I will be using TestLimit, a command line tool to simulate high memory usage, available here:

I’ve configured a batch file that will start TestLimit64.exe, and consume 3.5GB of RAM (from a total of 4GB assigned to the session host).

Prior to any WEM configuration being applied, running this batch file causes Memory Usage to rise as expected:


This remains until the process is closed manually.

Next, I ran the same process but for a user logged on with active WEM Settings – including Memory Management. Initially we saw the same rise in memory:


I then waited 5 minutes (the time limit we set earlier), with the application running in the background, and then checked the stats again:


As you can see the excess memory consumed by this application has been released – and is now available to other processes running on the Session Host. I tested this multiple times on different machines and session hosts, and saw the same result each time.

This potentially very useful for situations where a single user may be using a program that runs periodically, but sits with high RAM consumption in the background. Releasing under-utilized RAM will improve the session experience in the event that RAM capacity is being reached.