A study on distributed transcoding using dynamic allocation of virtual machines in a cloud computing environment

Abstract

Purpose

The purpose of this paper is a transcoding system based on a virtual machine in a cloud computing environment. There are many studies about transmitting realistic media through a network. As the size of realistic media data is very large, it is difficult to transmit them using current network bandwidth. Thus, a method of encoding by compressing the data using a new encoding technique is necessary. The next-generation encoding technique high-efficiency video coding (HEVC) can encode video at a high compressibility rate compared to the existing encoding techniques, MPEG-2 and H.264. Yet, encoding the information takes at least ten times longer than existing encoding techniques.

Design/methodology/approach

This paper attempts to solve the tome problem using a virtual machine in a cloud computing environment.

Findings

In addition, by calculating the transcoding time of the proposed technique, it found that the time was reduced compared to existing techniques.

Originality/value

To this end, this paper proposed transcoding appropriate for the transmission of realistic media by dynamically allocating the resources of the virtual machine.

Citation

Gu, S., Seo, A. and Kim, Y.-c. (2015), "A study on distributed transcoding using dynamic allocation of virtual machines in a cloud computing environment", Journal of Systems and Information Technology, Vol. 17 No. 2, pp. 113-120. https://doi.org/10.1108/JSIT-12-2013-0066