评估物联网网络架构中的视频流

P. Martinez-Julia, Elena Torroglosa-García, Jordi Ortiz Murillo, A. Gómez-Skarmeta
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引用次数: 26

摘要

在本文中,我们讨论了在构建于内容中心网络(CCN)架构之上的物联网(IoT)场景中执行视频流的实验结果。更准确地说,我们使用了动态自适应流(Dynamic Adaptive Streaming over HTTP, DASH)机制将视频分成多个片段,也提供了多个比特率。然后DASH客户端通过CCN网络从典型的HTTP服务器传输这些片段。HTTP/CCN适配器用于将HTTP请求转换为CCN兴趣,并将HTTP响应转换为CCN内容对象。结果是有希望的,实验表明CCN可以适应物联网环境,其集成的缓存机制将大大减少检索内容(特别是流媒体视频)所需的时间,从而提高网络效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Video Streaming in Network Architectures for the Internet of Things
In this paper we discuss the experimentation results we obtained from performing video streaming in Internet of Things (IoT) scenarios built on top of Content Centric Networking (CCN) architecture. More precisely, we used the Dynamic Adaptive Streaming over HTTP (DASH) mechanism to split videos into multiple pieces, also offering multiple bit-rates. Such pieces are then streamed by a DASH client from a typical HTTP server through a CCN network. HTTP/CCN adapters are used to translate the HTTP requests to CCN interests and HTTP responses to CCN content objects. The results are promising, the experiment demonstrated that CCN can fit into IoT environments and that its integrated caching mechanisms will highly reduce the necessary time to retrieve content, specifically streamed video, therefore increasing network efficiency.
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