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Optimization algorithms for video service delivery

Abstract : The aim of this thesis is to provide optimization algorithms for accessing video services either in unmanaged or managed ways. We study recent statistics about unmanaged video services like YouTube and propose suitable optimization techniques that could enhance files accessing and reduce their access costs. Moreover, this cost analysis plays an important role in decision making about video files caching and hosting periods on the servers. Under managed video services called IPTV, we conducted experiments for an open-IPTV collaborative architecture between different operators. This model is analyzed in terms of CAPEX and OPEX costs inside the domestic sphere. Moreover, we introduced a dynamic way for optimizing the Minimum Spanning Tree (MST) for multicast IPTV service. In nomadic access, the static trees could be unable to provide the service in an efficient manner as the utilization of bandwidth increases towards the streaming points (roots of topologies). Finally, we study reliable security measures in video streaming based on hash chain methodology and propose a new algorithm. Then, we conduct comparisons between different ways used in achieving reliability of hash chains based on generic classifications
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Submitted on : Friday, December 7, 2012 - 3:22:41 PM
Last modification on : Friday, October 23, 2020 - 4:58:27 PM
Long-term archiving on: : Monday, March 11, 2013 - 11:40:19 AM


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  • HAL Id : tel-00762636, version 1


Emad Mohamed Abd Elrahman Abousabea. Optimization algorithms for video service delivery. Other [cs.OH]. Institut National des Télécommunications, 2012. English. ⟨NNT : 2012TELE0030⟩. ⟨tel-00762636⟩



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