Toward Guaranteed Video Experience: Service-Aware Downlink Resource Allocation in Mobile Edge Networks

Toward Guaranteed Video Experience: Service-Aware Downlink Resource Allocation in Mobile Edge Networks
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实现有保障的视频体验:移动边缘网络中的服务感知下行链路资源分配

DOI:
10.1109/tcsvt.2018.2850058
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发表时间:
2019
影响因子:
8.4
通讯作者:
Chang Wen Chen
Chang Wen Chen
中科院分区:
工程技术1区
文献类型:
--
作者:
Zhisheng Yan;Miao Zhao;C. Westphal;Chang Wen Chen

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视频传输在EDGE网络上的视频服务中扮演着重要的角色。虽然基于HTTP段的流,例如基于HTTP的动态自适应流(DASH)已经成为主流技术,但它不能在比特率方面向移动用户提供有保证的视频回放。本质上,HTTP流以尽力而为的方式下载视频片段,即被动地响应频道动态。这可能会导致不稳定的回放,频繁的重新缓冲和多客户端竞争会降低网络范围的性能。本文提出了一种网络辅助流媒体框架,用于保证基于HTTP的回放体验流媒体(GESH),该框架利用网络资源的主动控制和多个客户端之间的联合协调来实现服务感知的网络资源分配。具体地说,GESH在不改变现有蜂窝基础设施的情况下,通过一种新的加权比例公平调度、每个分段的信道变化模型和一套为调度寻找最优权重的算法来增强能力。广泛的评估表明,GESH可以最大限度地保证多用户的视频播放,并显著优于传统的HTTP流媒体和当前的DASH系统。
Video delivery has been playing an essential role in video services over edge networks. Although HTTP segment-based streaming, e.g., Dynamic Adaptive Streaming over HTTP (DASH), has become the prevailing technique, it cannot provide guaranteed video playback in terms of bitrate to mobile users. In essence, HTTP streaming downloads the video segments in a best effort fashion, i.e., passively responding to the channel dynamics. This can cause unstable playback with frequent rebuffer and multi-client competition that degrades a network-wide performance. In this paper, we present a network-assisted streaming framework for Guaranteed Playback-Experience Streaming over HTTP (GESH) that leverages the proactive control of network resources and joint coordination among multiple clients for service-aware network resource allocation. Specifically, GESH is empowered by a new weighted proportional fair scheduling without modifying existing cellular infrastructure, a per-segment channel variation model, and a suite of algorithms to seek the optimal weights for the scheduling. Extensive evaluations show that GESH can maximally guarantee the video playback of multiple users, as well as significantly outperforming conventional HTTP streaming and current DASH systems.
DOI: 10.1109/tcsvt.2014.2367355
发表时间: 2015-06-01
影响因子: 8.4
作者:
El Essaili, Ali;Schroeder, Damien;Shehada, Mohammed
通讯作者: Shehada, Mohammed