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Reliable Memory Efficient Name Forwarding in Named Data Networking

机译:名称数据网络中可靠的记忆有效名称转发

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Named Data Networking (NDN) is a promising future Internet architecture which retrieves the content using their names. Content names composed of strings separated by '/' are stored in the NDN Forwarding Information Base (FIB) to forward the incoming packets further. To retrieve content through their names poses two main challenges for the NDN FIB: high memory consumption and high lookup time. Therefore, an efficient and scalable data structure is required to store names in FIB. Encoding components in all the names with a unique integer can reduce the memory consumption as well as lookup time. In this paper, we propose a scalable and memory-efficient radix trie based name component encoding scheme, named RaCE, to implement NDN FIB. Our experiment results show that the RaCE scheme is reducing memory consumption by 89.95% and 26.07% compared to the original size of data and NCE [4] scheme for the 29 million dataset, respectively.
机译:命名的数据网络(NDN)是一个有希望的未来Internet架构,它使用其名称检索内容。由“/”分隔的字符串组成的内容名存储在NDN转发信息库(FIB)中以进一步转发传入数据包。通过其名称检索内容对NDN FIB的两个主要挑战:高内存消耗和高查找时间。因此,需要有效和可扩展的数据结构来存储FIB中的名称。使用唯一整数的所有名称中的编码组件可以减少内存消耗以及查找时间。在本文中,我们提出了一种可扩展和内存高效的基于基于RADIX TRIE的名称组件编码方案,命名竞赛,实现NDN FIB。我们的实验结果表明,与2900万个数据集的数据和NCE [4]方案的原始规模和NCE [4]计划相比,竞赛计划将在89.95 %和26.07 %降低89.95 %和26.07 %。

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