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Multi-Criteria Optimization of Content Delivery within the Future Media Internet

Abstract : Single-source HTTP Adaptive Streaming solutions (HAS) have become the de-facto solutions to deliver video over the Internet mostly due to their capabilities to increase end-user’s Quality of Experience (QoE) as well as their ease of deployment due to the usage of the HTTP protocol. Although HAS solutions can increase QoE by trading off the delivered video quality to minimize the number of video freezing events, they are limited by the bandwidth available on the considered communication channel between the client and the server. This thesis exposes our contributions in building lightweight pragmatic and evolving solutions advocating for the simultaneous usage of multiple sources with heterogeneous capacities so as to achieve high QoE content delivery at low cost. The first contribution of this work presents a streaming solution extending HAS capabilities to a pragmatic multi-server technique: MS-Stream. MS-Stream provides the means to exploit expanded bandwidth and link diversity in distributed heterogeneous network infrastructures. In our second contribution, we propose MATHIAS, a client-side two-phase consumption and adaptation algorithm implemented into MSStream. MATHIAS aims at increasing the end-user’s perceived streaming quality while utilizing the most of the heterogeneous capacities offered at the service and network environments. Finally, we further extend the QoE and scalability capabilities of MS-Stream and MATHIAS by leveraging on clients’ connectivity capacities and we expose our third contribution: a hybrid P2P/Multi-server live-Streaming system (PMS) incorporating distributed quality and scalability adaptation mechanisms.
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Submitted on : Tuesday, December 12, 2017 - 1:24:33 AM
Last modification on : Thursday, July 23, 2020 - 3:56:31 PM


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  • HAL Id : tel-01661592, version 1



Joachim Bruneau-Queyreix. Multi-Criteria Optimization of Content Delivery within the Future Media Internet. Other [cs.OH]. Université de Bordeaux, 2017. English. ⟨NNT : 2017BORD0745⟩. ⟨tel-01661592⟩