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Evaluation of DASH Algorithms on Dynamic Satellite-Enhanced Hybrid Networks

机译:动态卫星增强型混合网络中DASH算法的评估

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Video streaming is nowadays the dominant Internet application contributing to most of the generated IP traffic. In the 5G era, network slicing and dynamic management can lead to link changes due to handover for offloading and/or optimization purposes, making bottleneck bandwidth and experienced latency varying over time. In this framework, satellite can play a role for an efficient backhauling in several challenging scenarios. Therefore, Adaptive Bit-Rate (ABR) capability in the streaming applications is of paramount importance not only to face up network load variations (usual design requirement), but also to take into account physical changes. This paper aims to investigate performance of two MPEG-DASH ABR algorithms, which mainly cover the main adaptation approaches (throughput-based and buffer-based), on simulated scenarios stressing the link change events and introducing at least a satellite link. The overall performance analysis leverages on the Network Simulator NS-3.
机译:当今,视频流是占主导地位的Internet应用程序,它贡献了大多数生成的IP流量。在5G时代,网络切片和动态管理可能会由于切换而导致链路更改,以实现卸载和/或优化目的,从而使瓶颈带宽和经历的延迟随时间而变化。在这种框架下,卫星可以在多种挑战性场景中发挥有效的回传作用。因此,流应用程序中的自适应比特率(ABR)功能不仅对于面对网络负载变化(通常的设计要求),而且还要考虑物理变化都至关重要。本文旨在研究两种MPEG-DASH ABR算法的性能,这些算法主要涵盖主要的自适应方法(基于吞吐量和基于缓冲区),在强调链路变化事件并至少引入卫星链路的模拟情况下。整体性能分析基于Network Simulator NS-3。

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