An optimized hybrid remote display protocol using GPU-assisted M-JPEG encoding and novel high-motion detection algorithm

Authors:
Biao Song;Wei Tang;Tien-Dung Nguyen;Mohammad Mehedi Hassan;Eui Nam Huh
Affiliations:
College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia;Innovative Cloud and Security Lab, Department of Computer Engineering, Kyung Hee University, Giheung-gu, Yongin-si, South Korea 446-701;Innovative Cloud and Security Lab, Department of Computer Engineering, Kyung Hee University, Giheung-gu, Yongin-si, South Korea 446-701;College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia;Innovative Cloud and Security Lab, Department of Computer Engineering, Kyung Hee University, Giheung-gu, Yongin-si, South Korea 446-701
Venue:
The Journal of Supercomputing
Year:
2013

Citing 6
Cited 0

Measuring thin-client performance using slow-motion benchmarking

ACM Transactions on Computer Systems (TOCS)
Virtual Network Computing

IEEE Internet Computing
Protected interactive 3D graphics via remote rendering

ACM SIGGRAPH 2004 Papers
Thin Client Computing Solutions in Low- and High-Motion Scenarios

ICNS '07 Proceedings of the Third International Conference on Networking and Services
An end-to-end virtual environment streaming technique for thin mobile devices over heterogeneous networks

Computer Communications
Thinc: a virtual and remote display architecture for desktop computing and mobile devices

Thinc: a virtual and remote display architecture for desktop computing and mobile devices

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we design a novel hybrid remote display for mobile thin-client system. The remote frame buffer (RFB) protocol and motion JPEG (M-JPEG) protocol are assigned to handle remote display tasks in the slow-motion region and high-motion region, respectively. Graphic processing units (GPU) are utilized to do a part of a real-time JPEG compression task. A novel quality of experience (QoE)-based high-motion detection algorithm is also proposed to reduce the network bandwidth consumption and the server-side computing resource consumption. The continuity of screen delivery remains whenever the JPEG compression is applied to different screen regions. The proposed hybrid remote display approach has many good features which have been justified by comprehensive simulation studies.