If you are using ovice in a thin client/VDI environment and experience issues such as ovice running slowly or other applications running slowly as a result of using ovice, please check the following.
Reasons why it feels slow
Compared to other web conferencing services, ovice performs many processes simultaneously in addition to conversations with others through audio and video, such as background images, animations, and avatar movement in the space. In addition, the current specifications use a lot of resources when the camera is turned on. Therefore, in a thin client environment, it is thought that processing takes time and delays may be felt.
In addition, when you are waiting in the ovice space and not holding a meeting, the system is designed to barely use the CPU, so it is unlikely that this will cause problems when using other applications. However, since it may use up to 200MB of GPU memory, it is possible that the GPU memory may be depleted depending on your usage environment.
How to reduce the slowness
If you need to use a thin client/VDI environment, please check the following items:
- Reduce the resources used on the terminal side.
For example, in the ovicesettings, make the background image smaller and reduce the amount of animation and image data, and in the ovice functions, use the camera function only when necessary. Other things you can do on the terminal itself include taking measures such as closing unused browser tabs and closing unused applications. - Increase server-side resources
If the server-side resources are low, it will affect the entire thin client. For example, even if you are not performing memory-intensive tasks, if other users of the same server are performing high-load tasks such as video conferencing, the server's CPU and GPU will be occupied, and the operation will feel slow. This issue can be resolved by increasing server resources.
Virtual Machine Recommended Specifications
If you use the standard functions of ovice on a thin client/VDI virtual machine, we recommend using a virtual machine with the following specifications or higher.
- vCPU: 8 cores
- Memory: 16GB
*These are the recommended specifications based on the results of testing in our environment. Performance may vary depending on your environment (thin client/VDI service, network, hardware, etc.).