Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

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

A study on distributed transcoding using dynamic allocation of virtual machines in a cloud... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Systems and Information Technology Emerald Publishing

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

Download PDF
8 pages

Loading next page...
 
/lp/emerald-publishing/a-study-on-distributed-transcoding-using-dynamic-allocation-of-virtual-NigUSJ5l5d

References (18)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1328-7265
DOI
10.1108/JSIT-12-2013-0066
Publisher site
See Article on Publisher Site

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.

Journal

Journal of Systems and Information Technology – Emerald Publishing

Published: May 11, 2015

There are no references for this article.