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Content-Aware Delivery of Scalable Video in Network Coding Enabled Named Data Networks

机译:在启用网络编码的命名数据网络中可伸缩视频的内容感知交付

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摘要

We propose a novel network coding (NC) enabled named data networking (NDN) architecture for scalable video delivery. Our architecture utilizes network coding in order to address the problem that arises in the original NDN architecture, where optimal use of the bandwidth and caching resources necessitates the coordination of the Interest forwarding decisions. To optimize the performance of the proposed network coding based NDN architecture and render it appropriate for transmission of scalable video, we devise a novel rate allocation algorithm that decides on the optimal rates of Interests sent by clients and intermediate nodes. The flow of Data packets achieved by this algorithm maximizes the average quality of the video delivered to the client population. To support the handling of Interest and Data packets when intermediate nodes perform network coding, we introduce the use of Bloom filters, which store efficiently additional information about the Interest and Data packets, and modify accordingly the standard NDN architecture. We also devise an optimized Interest forwarding strategy that implements the target rate allocation. The proposed architecture is evaluated for transmission of scalable video over PlanetLab topologies. The evaluation shows that the proposed scheme exploits optimally the available network resources.
机译:我们提出了一种新颖的启用了网络编码(NC)的命名数据网络(NDN)体系结构,用于可伸缩视频交付。我们的架构利用网络编码来解决原始NDN架构中出现的问题,在该架构中,带宽和缓存资源的最佳使用需要协调利益转发决策。为了优化所提出的基于网络编码的NDN体系结构的性能并使之适合于可伸缩视频的传输,我们设计了一种新颖的速率分配算法,该算法决定了客户端和中间节点发送的最佳兴趣速率。通过此算法实现的数据包流可以最大程度地提高交付给客户群体的视频的平均质量。为了在中间节点执行网络编码时支持对兴趣和数据包的处理,我们引入了布隆过滤器的使用,该过滤器可有效存储有关兴趣和数据包的其他信息,并相应地修改标准NDN体系结构。我们还设计了一种优化的利息转发策略,该策略可以实现目标费率分配。对提出的体系结构进行了评估,以通过PlanetLab拓扑传输可伸缩视频。评估表明,该方案可以最佳地利用可用的网络资源。

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