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A Mobile Edge Computing-Assisted Video Delivery Architecture for Wireless Heterogeneous Networks

Yue Li 1 Pantelis Frangoudis 1 Yassine Hadjadj-Aoul 1 Philippe Bertin 2
1 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
Abstract : We focus on QoE-optimized video delivery in a wireless heterogeneous network setting, where users equipped with multi-interface devices access a Dynamic Adaptive Streaming over HTTP (DASH) video service. We provide an Integer Linear Programming (ILP) formulation for the problem of optimal joint video quality and network interface selection and a heuristic algorithm to solve it, shown via simulation and testbed experiments to achieve near-optimal performance in terms of Quality of Experience (QoE), with reduced execution time. We further design a video delivery architecture based on the emerging Mobile Edge Computing (MEC) standard, where our video quality and network selection functionality is executed as a MEC application. Notably, our architecture transparently operates with standard DASH clients.
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Submitted on : Thursday, December 7, 2017 - 8:46:35 AM
Last modification on : Tuesday, February 25, 2020 - 8:08:10 AM

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Yue Li, Pantelis Frangoudis, Yassine Hadjadj-Aoul, Philippe Bertin. A Mobile Edge Computing-Assisted Video Delivery Architecture for Wireless Heterogeneous Networks. ISCC 2017 - IEEE Symposium on Computers and Communications, Jul 2017, Heraklion, Greece. pp.1-6, ⟨10.1109/ISCC.2017.8024583⟩. ⟨hal-01657678⟩

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