VIRTUALIZED VIDEO AND CLOUD COMPUTING FOR EFFICIENT ELEARNING
VIRTUALIZED VIDEO AND CLOUD COMPUTING FOR EFFICIENT ELEARNING

Summary/Abstract: Multimedia content has become more and more popular in current eLearning platforms. However, there are still many use cases which require virtualized resources from cloud platforms: gamification, video analytics, and surveillance during exams, video conferencing for coaching, and video streaming (live and video-on-demand) services. This paper has the purpose to present how video services can exploit the virtualization techniques to provide ubiquitous video learning experience. Virtualization consists of multiple operating systems on a single physical system. Virtualization shares the underlying hardware resources, providing multiple execution environments for software partitioning and time-sharing. Furthermore, virtualization is the basis for cloud computing, which is adaptable and secure sharing of resources as a service, leading to ease of use for different types of computing platforms. This gives to the teachers the authority to deploy their curricula to new channels and to promote it with efficient video communication solutions. It is expected, from this point of view, that virtualization will contribute in a beneficial way to these use cases. The main concept we present in this paper is how to virtualize the video services and utilizing them combined with other eLearning techniques, whereas the virtualization technique permits virtualization for full server machines along with the whole operating system. The main objective is to demonstrate they can be monitored and easily be maintained, as well being extremely secure and provide uninterrupted services. Furthermore, virtualized video using Cloud would establish and provide quality eLearning relationships regardless of distance and devices or operating systems, being accessible through a web browser.

• Details
• Contents