To ensure the optimal combination of end-user experience (EUE) and cost-per-user, we carried out this performance analysis and characterization (PAAC) test using an industry best-practices methodology that monitors both hardware resource utilization parameters and EUE during load-testing.

Our testing used NVIDIA nVector, a performance testing tool from NVIDIA for benchmarking VDI workloads. The nVector tool creates a load on the system by simulating a workload that matches a typical VDI environment. It was designed to assess the experience at the endpoint device rather than the response time of the virtual desktop. The tool also captures the corresponding performance metrics that quantify user experience, including image quality, frame rate, and user latency from the endpoints. These metrics, when combined with resource utilization information from the servers under test, enable IT teams to assess their VDI graphics-accelerated environment needs.  

We tested multiple runs for each user load scenario to eliminate single test bias. We used a pilot run to validate that the solution was functioning as expected and we validated that testing data was being captured. We then tested subsequent runs to provide data that confirmed that consistent results were observed.

To confirm true EUE, we logged into a VDI session and completed several tasks typical of a normal user workload. We feel confident that this small incremental load on the system did not significantly impact our ability to provide reproducible results. While the assessment undoubtedly is subjective, it helps to provide a better understanding of the EUE under high load. It also helps to assess the reliability of the overall testing data.