Distributed-collaborative managed dash video services

Kemal E. Sahin, K. Bagci, A. Tekalp
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引用次数: 1

Abstract

We propose a new distributed-collaborative managed DASH video service architecture over software defined networks (SDN) that enables fair and stable video quality to heterogeneous resolution clients. The proposed service is managed by the video service provider (VSP) in collaboration with the network service provider (NSP), where groups of clients sharing a network slice with a reserved throughput collaborate with each other to compute their own fair-share bitrates. Our novel distributed service architecture allows each client to share its buffer status with other clients in the same collaboration group so that each client can estimate a group-buffer-status aware fair-share bitrate, enforce this rate by TCP receive-window size control over a network slice reserved for the group, and perform application-level DASH video rate adaptation that is consistent with this enforced fair bitrate. Experimental results show that the proposed collaborative video service outperforms the traditional competitive DASH clients in terms of (i) minimizing quality fluctuations per client, (ii) fairness among heterogeneous DASH clients, and (iii) maximizing the total goodput of reserved network slice.
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分布式协同管理的dash视频服务
本文提出了一种基于软件定义网络(SDN)的分布式协同管理的DASH视频服务架构,该架构能够为异构分辨率客户端提供公平稳定的视频质量。建议的服务由视频服务提供商(VSP)与网络服务提供商(NSP)合作管理,其中客户端组共享具有保留吞吐量的网络切片,彼此协作以计算自己的公平共享比特率。我们新颖的分布式服务架构允许每个客户端与同一协作组中的其他客户端共享其缓冲状态,以便每个客户端可以估计组缓冲状态感知的公平共享比特率,通过TCP接收窗口大小控制为组保留的网络片强制执行此速率,并执行与此强制执行的公平比特率一致的应用级DASH视频速率适应。实验结果表明,本文提出的协同视频服务在(i)最小化每个客户端质量波动、(ii)异构DASH客户端之间的公平性以及(iii)最大化保留网络切片的总goodput方面优于传统的竞争性DASH客户端。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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