A study on distributed transcoding using dynamic allocation of virtual machines in a cloud computing environment
| Published date | 11 May 2015 |
| Date | 11 May 2015 |
| Pages | 113-120 |
| DOI | https://doi.org/10.1108/JSIT-12-2013-0066 |
| Author | Seokmo Gu,Aria Seo,Yei-chang Kim |
| Subject Matter | Information & knowledge management,Information systems |
A study on distributed
transcoding using dynamic
allocation of virtual machines in
a cloud computing environment
Seokmo Gu, Aria Seo and Yei-chang Kim
Department of Information Technology, Dongguk University,
Gyeongju, Republic of Korea
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 difcult 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-efciency 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.
Keywords Resource allocation, Virtual machine, Distributed system, HEVC, Transcoding system
Paper type Research paper
1. Introduction
The development of broadcasting and telecommunications technology made
transmission of ultra high denition (UHD) realistic media data over networks possible
(Yoon et al., 2010). To transmit realistic media data with UHD quality, it is necessary to
maintain original image quality and, at the same time, perform a transcoding process to
reduce the size of the transfer le.
As of now, MPEG-2 (Okubo et al., 1995) and H.264 (Wiegand et al., 2003) are used for
encoding. In the future, the encoding system using high-efciency video coding (HEVC),
a next-generation encoding technique, is expected to be commercialized (Sullivan et al.,
2012).
In order encoding, for very large-sized les (big-sized media data), more computing
resources are needed. In the existing single computing environment, it is difcult for the
transcoding system to transcode UHD images by applying a high compression rate for
the current network bandwidth. As transcoding UHD images using the existing
MPEG-2 and H.264 codecs has a high bit rate, it cannot always be transmitted in the
present network environment. It can be transmitted only by the transcoding system
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A study on
distributed
transcoding
113
Received 1 December 2013
Revised 28 January 2014
Accepted 19 February 2014
Journalof Systems and
InformationTechnology
Vol.17 No. 2, 2015
pp.113-120
©Emerald Group Publishing Limited
1328-7265
DOI 10.1108/JSIT-12-2013-0066
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