NDN上自适应比特率视频流的主动兴趣适应和内容缓存

S. Awiphan, Kanin Poobai, Kenji Kanai, J. Katto
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引用次数: 4

摘要

命名数据网络(NDN)最近作为一种新的网络架构被引入。在NDN上实现自适应比特率视频流是最具挑战性的任务之一。NDN的网络内缓存特性可能会误导用户高估下一个视频片段的端到端吞吐量。在本文中,我们提出了一种策略,通过允许逐跳方式对兴趣消息进行适应,从而实现更有效的速率适应。此外,主动内容缓存被设计为在检测到传输路径上的瓶颈时在相关路由器上使用。使用NDN-JS和DASH-JS进行的实验表明,该方案比传统的速率自适应方法提供了更好的平均流比特率。此外,采用该方案可以有效地降低视频数据传输的链路带宽消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proactive Interest Adaptation and Content Caching for Adaptive Bit-Rate Video Streaming Over NDN
Named Data Networking (NDN) has been recently introduced as a new network architecture. The implementation of adaptive bit-rate video streaming on NDN is one of the most challenging tasks. The in-network caching feature of NDN could mislead a consumer to overestimate the end-to-end throughput for the next video segment. In this paper, we propose a strategy for more efficient rate adaptation by allowing Interest message adaptation in a hop-by-hop fashion. Moreover, the proactive content caching is designed to be utilized on the related router when a bottleneck on the transmission path was detected. The experiments using NDN-JS and DASH-JS demonstrate that our proposed solution provides better average stream bit-rate than the traditional rate adaptation method. Also, the link bandwidth consumption for video data transmission using the proposed scheme could be reduced efficiently.
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