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.