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DAg-stream: Distributed video adaptation for overlay streaming to heterogeneous devices - Springer

机译:DAg-stream:分布式视频自适应,用于将覆盖流传输到异构设备-Springer

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Combining the advantages of Peer-to-Peer (P2P) content distribution concept and metadata driven adaptation of videos in compressed domain, in this paper, we propose a simple but scalable design of distributed adaptation and overlay streaming using MPEG-21 gBSD, called DAg-stream. The objective is not only to shift the bandwidth burden to end participating peers, but also to move the computation load for adapting video contents away from dedicated media-streaming/adaptation servers. It is an initiative to merge the adaptation operations and the P2P streaming basics to support the expansion of context-aware mobile P2P systems. DAg-stream organizes mobile and heterogeneous peers into overlays. For each video, a separate overlay is formed. No control message is exchanged among peers for overlay maintenance. We present a combination of infrastructure-centric and application end-point architecture. The infrastructure-centric architecture refers to a tree controller, named DAg-master, which is responsible for tree/overlay administering and maintenance. The application end-point architecture refers to video sharing, streaming and adaptation by the participating resourceful peers. The motivation for this work is based on the experiences and lessons learned so far about developing a video adaptation system for heterogeneous devices. In this article, we present our architecture and some experimental evaluations supporting the design concept for overlay video streaming and online adaptation.
机译:结合点对点(P2P)内容分发概念的优势和压缩域中视频的元数据驱动的自适应,在本文中,我们提出了一个简单但可扩展的设计,即使用MPEG-21 gBSD称为DAg的分布式自适应和覆盖流-流。目的不仅是将带宽负担转移给最终参与的对等方,而且还将使适应视频内容的计算负担从专用媒体流/适配服务器上移开。这是一项将适应性操作和P2P流式传输基础合并以支持上下文感知移动P2P系统扩展的计划。 DAg-stream将移动和异构对等体组织在一起。对于每个视频,形成一个单独的覆盖图。对等方之间没有交换控制消息来进行覆盖维护。我们提出了以基础架构为中心和应用程序端点架构的组合。以基础架构为中心的体系结构指的是名为DAg-master的树控制器,它负责树/覆盖图的管理和维护。应用程序端点体系结构是指参与的资源丰富的对等方共享视频,进行流传输和进行自适应。进行这项工作的动机是基于到目前为止为开发用于异构设备的视频自适应系统而获得的经验和教训。在本文中,我们将介绍我们的体系结构和一些实验评估,以支持覆盖视频流和在线自适应的设计概念。

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