Abstract: Described herein are systems, methods, and software to monitor latency information in virtual desktop environments. In one example, a user computing system may obtain a first frame of video data from a second computing system, wherein the video data is streamed from the user computing system to the second computing system. The user computing system further identifies a first frame number for the first frame based on a code in the first frame, identifies a frame number for second frame of the video data to be streamed to the second computing system when first frame was received, and determines frame latency based on a difference between the first frame number and the second frame number.

Abstract: Techniques are described providing improved ways to benchmark and validate virtual desktop deployments where targeted workloads are delivered to virtual desktops based on parameters such as the desktop type and origin, and where workload operations can be triggered from the client device. Client instructions for performing workload operations can be encoded into a digital image such as a Quick Response (QR) code on the virtual desktop and inserted into the virtual desktop graphical user interface (GUI). The client decodes the digital image in the received GUI to obtain the instructions and actuate the operations. Completion of operations can be tracked to benchmark desktop performance.

Abstract: The disclosure provides an approach for measuring performance between a virtualized desktop infrastructure (VDI) client running on a client device and a remote computing device. Embodiments include generating, by a performance client on the client device, an event and storing a time associated with generating the event. Embodiments include transmitting, by the VDI client to the remote computing device, a message based on the OS event. Embodiments include determining, by a performance agent on the remote computing device, a time associated with receiving the message at the remote computing device and causing an indication of the time to be displayed in a virtual desktop screen. Embodiments include extracting, by the performance client, from the virtual desktop screen, the time, and determining a performance metric based on the extracted time and the time associated with receiving the message at the remote computing device.

Abstract: The disclosure provides an approach for measuring performance between a virtualized desktop infrastructure (VDI) client running on a client device and a remote computing device. Embodiments include generating, by a performance client on the client device, an event and storing a time associated with generating the event. Embodiments include transmitting, by the VDI client to the remote computing device, a message based on the OS event. Embodiments include determining, by a performance agent on the remote computing device, a time associated with receiving the message at the remote computing device and causing an indication of the time to be displayed in a virtual desktop screen. Embodiments include extracting, by the performance client, from the virtual desktop screen, the time, and determining a performance metric based on the extracted time and the time associated with receiving the message at the remote computing device.

Abstract: Described herein are systems, methods, and software to monitor latency information in virtual desktop environments. In one example, a user computing system may obtain a first frame of video data from a second computing system, wherein the video data is streamed from the user computing system to the second computing system. The user computing system further identifies a first frame number for the first frame based on a code in the first frame, identifies a frame number for second frame of the video data to be streamed to the second computing system when first frame was received, and determines frame latency based on a difference between the first frame number and the second frame number.

Abstract: Techniques are described providing improved ways to benchmark and validate virtual desktop deployments where targeted workloads are delivered to virtual desktops based on parameters such as the desktop type and origin, and where workload operations can be triggered from the client device. Client instructions for performing workload operations can be encoded into a digital image such as a Quick Response (QR) code on the virtual desktop and inserted into the virtual desktop graphical user interface (GUI). The client decodes the digital image in the received GUI to obtain the instructions and actuate the operations. Completion of operations can be tracked to benchmark desktop performance.