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The Implementation of a GPU-Accelerated Virtual Desktop Infrastructure Platform

Authors :
Chao-Tung Yang
Chan-Fu Kuo
Chuan-Lin Lai
Chia-Chen Kuo
Tzu-Yang Chen
Ching-Fang Lee
Jheng-Yue Li
Yuan-Ting Wang
Source :
2017 International Conference on Green Informatics (ICGI).
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

This work focuses on how to provide the best virtual desktop technology, virtualization performance and hardware in the computer classroom. There are using the three popular virtualization technologies in the same environment to establish the same conditions, pure performance comparison: VMware Horizon, Citrix XenDesktop, and Microsoft VDI. Test software used to the current popular software, system performance including a test CPU and RAM PassMark Performance Test,and observe the vCenter Server performance changes and record statistics, to determine the advantages and disadvantages of various virtualization technologies. Finally, hardware support exclusive GPU virtualization product - Nvidia GRID K2 through GPU virtualization technology sharing and vGPU to carry on VMware vSphere, via Cinebench, YouTube 1080p high-quality video for bandwidth flow test, and use 3DMark Fire Strike Extreme to enhance the performance of virtual desktop, and bring users to enjoy higher-quality cloud services. The results of this study show that virtual desktop technologies are good in different field. On the other hand, the hardware performance breakthrough Moore’s Law of this era, the single CPU has more number of cores, and the memory capacity of the larger single,and provided by the GPU for graphics acceleration processing capabilities, the performance of server has been perfect than the previous. Therefore, the quality of cloud services is also greatly improved. The study shows that the virtual test can be imported into the classroom through the stress test in the experiment. To make sure the its performance and cost are really suitable for classroom imported desktop virtualization system.

Details

Database :
OpenAIRE
Journal :
2017 International Conference on Green Informatics (ICGI)
Accession number :
edsair.doi...........eca737847a6cea35f5305d89b09f45ae