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Adaptive Video Streaming on Named Data Networking with IoT-Assisted Content Delivery

机译:具有物联网辅助内容交付的命名数据网络上的自适应视频流

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Adaptive rate video streaming on a novel Internet architecture, called Named Data Networking (NDN), appears to be a promising technology. However, given the source of content on NDN is unknown to the consumer, rate adaptation becomes inefficient. Moreover, the traffic at some nodes holding popular contents still can be congested. In this paper, we utilize the Internet of Things (IoT) device for assisting content delivery at an NDN router that has low bandwidth. The location of IoT devices installation is determined by a metric calculated from link bandwidth, delay, and utilization. We performed the experiments using DASH-NDN-JS on the setup network. The results demonstrate that our proposal could support NDN router to deliver video content to additional consumers efficiently. Thus, the network scalability can be improved with a reasonable cost.
机译:在名为“命名数据网络(NDN)”的新型Internet架构上的自适应速率视频流似乎是一种有前途的技术。但是,由于消费者不知道NDN上的内容来源,因此速率适配效率很低。而且,仍然可能拥塞一些持有流行内容的节点上的流量。在本文中,我们利用物联网(IoT)设备来协助在具有低带宽的NDN路由器上传递内容。物联网设备的安装位置取决于根据链路带宽,延迟和利用率计算出的指标。我们在设置网络上使用DASH-NDN-JS进行了实验。结果表明,我们的建议可以支持NDN路由器将视频内容有效地传递给其他消费者。因此,可以以合理的成本来改善网络可伸缩性。

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