VDI Performance Optimization with Hybrid Parallel Processing in Thick Client System under Heterogeneous Multi-Core Environment 


Vol. 38,  No. 3, pp. 163-171, Mar.  2013


PDF Full-Text
  Abstract

Recently, the requirement of processing High Definition (HD) video or 3D application on low,mobile devices has been expanded and content data has been increased as well. It is becoming a major issue in Cloud computing where a Virtual Desktop Infrastructure (VDI) Service needs efficient data processing ability to provide Quality of Experience (QoE) in Cloud computing. In this paper, we propose three kind of Thick-Thin VDI Service which can share and delegate VDI service based on Thick Client using CPU and GPU. Furthermore, we propose and discuss the VDI Service Optimization Method in mixed CPU and GPU Heterogeneous Environment using CPU Parallel Processing OpenMP and GPU Parallel Processing CUDA.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

M. Kim and E. Huh, "VDI Performance Optimization with Hybrid Parallel Processing in Thick Client System under Heterogeneous Multi-Core Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 3, pp. 163-171, 2013. DOI: .

[ACM Style]

Myeong-seob Kim and Eui-Nam Huh. 2013. VDI Performance Optimization with Hybrid Parallel Processing in Thick Client System under Heterogeneous Multi-Core Environment. The Journal of Korean Institute of Communications and Information Sciences, 38, 3, (2013), 163-171. DOI: .

[KICS Style]

Myeong-seob Kim and Eui-Nam Huh, "VDI Performance Optimization with Hybrid Parallel Processing in Thick Client System under Heterogeneous Multi-Core Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 3, pp. 163-171, 3. 2013.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880