Please use this identifier to cite or link to this item:
Title: An evolutionary video assignment optimization technique for VOD system in heterogeneous environment
Authors: Ho, KM
Poon, WF
Lo, KT 
Keywords: Assignment problems
Coding strategy
Delivery mechanism
Evolutionary approach
Heterogeneous environments
Near-optimal solutions
Optimization techniques
Proxy server
Quality levels
Issue Date: 2010
Publisher: Hindawi Publishing Corporation
Source: International journal of digital multimedia broadcasting, v. 2010, 645049, p.1-13 How to cite?
Journal: International journal of digital multimedia broadcasting 
Abstract: We investigate the video assignment problem of a hierarchical Video-on-Demand (VOD) system in heterogeneous environments where different quality levels of videos can be encoded using either replication or layering. In such systems, videos are delivered to clients either through a proxy server or video broadcast/unicast channels. The objective of our work is to determine the appropriate coding strategy as well as the suitable delivery mechanism for a specific quality level of a video such that the overall system blocking probability is minimized. In order to find a near-optimal solution for such a complex video assignment problem, an evolutionary approach based on genetic algorithm (GA) is proposed. From the results, it is shown that the system performance can be significantly enhanced by efficiently coupling the various techniques.
ISSN: 1687-7578 (print)
1687-7586 (online)
DOI: 10.1155/2010/645049
Rights: Copyright © 2010 King-Man Ho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Ho_Evolutionary_Video_Assignment.pdf1.38 MBAdobe PDFView/Open
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents


Last Week
Last month
Citations as of Jul 10, 2018

Page view(s)

Last Week
Last month
Citations as of Jul 10, 2018


Citations as of Jul 10, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.