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Modelling contents status for IPTV delivery networks


Mohamed Fati, Suliman and Sumari, Putra and Yuhaniz, Siti Sophiayati and Amir Sjarif, Nilam Nur (2017) Modelling contents status for IPTV delivery networks. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

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Abstract

Since IPTV has been invented, IPTV is considered a dominant technology to distribute high quality videos and live channels anytime anywhere over challenging environment to end users who are having different preferences and demands. Presently, IPTV service providers manage IPTV delivery networks, in terms of contents, channels, resources, based on contents popularity distribution and/or users’ preferences only. Although content popularity and users’ preferences play an important role to cope with the increasing demand of IPTV contents/channels, these two measures fail in producing efficient IPTV delivery networks For that, IPTV delivery network designing should integrate the IPTV content characteristics like size, interactivity, the rapid changing lifetime. Therefore, the idea of this paper is to build a mathematical model that integrates all these factors in one concept called IPTV content status. Modeling the contents status according to its characteristics is an important point to design Content-Aware IPTV delivery networks.The experimental results showed the superiority of modeling IPTV content status in balancing the load and reducing the resources waste.

Item Type: Conference or Workshop Item (Paper)
Additional Information: eISSN 2289-7402 e-ISBN 978-967-0910-33-8 Organized by: School of Computing, Universiti Utara Malaysia Sintok.
Uncontrolled Keywords: IPTV, Delivery Networks, Content Popularity, Contents’ workload, IPTV content status.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 27 Jul 2017 01:21
Last Modified: 27 Jul 2017 01:21
URI: http://repo.uum.edu.my/id/eprint/22842

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