Back to articles
Articles
Volume: 28 | Article ID: art00011
Image
Improving the RDP based applications by using HTML5 content representation
  DOI :  10.2352/ISSN.2470-1173.2016.7.MOBMU-293  Published OnlineFebruary 2016
Abstract

Despite the large variety of “off the shelf” solutions and academic research studies, application virtualization for cloud distribution is still an open research topic, with significant issues to be solved, ranging from bridging the gap between users expectation of simple, intuitive and user-friendly access from any type of terminal and the fragmented landscape of SaaS offer, with peculiarities related to the hardware/software configurations and the optimization of the technical resources consumption.Our study investigates the possibility of using HTML5 a virtualization tool for RDP-based applications. Architectural modules related to the RDP content interception, conversion, adaptation, remote rendering and interaction are specified, designed and implemented. This architecture is validated under the framework of the MEDUSA European project, in partnership with medical institutions. The testbed considers a server and 5 mobile users, with heterogeneous devices (tablets, smartphones, laptops) running under iOS, Android and Windows operating systems. The objective/subjective evaluations demonstrated that: (1) the user experience is not reduced by the virtualization, (2) the network consumption is reduced by a factor of 1.8 with respect to state-of-the-art solutions.

Subject Areas :
Views 30
Downloads 1
 articleview.views 30
 articleview.downloads 1
  Cite this article 

Rama Rao Ganji, Mihai Mitrea, Dancho Panovski, Bojan Joveski, "Improving the RDP based applications by using HTML5 content representationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.7.MOBMU-293

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA