The Optimization of Network Performance Evaluation Method for Virtual Desktop QoE Based on SPICE

  • Weimin Li
  • Jinfang ShengEmail author
  • Yikang Yan
  • Shaobo Zhang
  • Xingyu Deng
  • Wenxiu Huang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1122)


The evaluation of user experience of virtual desktop service, which aims to make the results obtained through the evaluation method as close as possible to the user’s real feelings, has been widely concerned. At present, the mainstream evaluation methods based on client and network capture packet have the deficiency that the collection of relevant performance indicators is not objective and real, especially in network performance. This paper proposes a network performance evaluation and optimization solution for the virtual desktop service based on the open source desktop transport protocol SPICE. It takes the real feeling of the client user as the benchmark, and considers the clock synchronization between client and server. Then, on the basis of deeply understanding the internal principle of SPICE protocol, the network performance test data packet is integrated into it, and the time stamp of the data packet that is sent and received, and the packet loss situation is recorded. The experimental results show that the network performance indicators obtained by the optimization method is closer to the real application scenario.


Virtual desktop QoE Performance evaluation SPICE Network performance 



This work was supported by the Natural Science Foundation for Young Scientists of Hunan Province, China under Grant No. 2019JJ50285, Scientific Research Project for Distinguished Young Scientists of Provincial Education Department of Hunan, China under Grant 18B460, 2018 New H3C Group Foundation for Internet of Things Federation of Hunan Province, China, 2017 Science and Technology Innovation Project of Loudi city, Hunan Province, China, the Hunan Provincial Education Department of China under Grant No. 18B200.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Weimin Li
    • 1
  • Jinfang Sheng
    • 2
    Email author
  • Yikang Yan
    • 2
  • Shaobo Zhang
    • 3
  • Xingyu Deng
    • 1
  • Wenxiu Huang
    • 1
  1. 1.School of Information, Science and TechnologyHunan University of HumanitiesLoudiChina
  2. 2.School of Computer Science and EngineeringCentral South UniversityChangshaChina
  3. 3.School of Computer Science and EngineeringHunan University of Science and TechnologyXiangtanChina

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