Efficient lookup for NLAPB in named data networking

Chandana K L Iv, Sem M Tech Student, T. Asst, Prof, B. Shantakumar, Patil, P. Patil
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引用次数: 2

Abstract

In Named Data Networking, packet forwarding decisions depends on lookup operations on variable length names instead of fixed length IP addresses. Named data networking is another approach to the construction of computer networks. Its main principle is to provide communication network that should allow a user to concentrate on the data that user needs. In this paper, a new Efficient Name Lookup for NLAPB Adaptive is implemented. It mainly includes two stages based on the separation of B-prefix and T-suffix, which are totally different from the Name Filter. In the first stage, B-prefix of a name is first processed by Counting Bloom Filter (CBFs), and hash table assists to determine the location of corresponding T-suffix tree. If the name/prefix is short enough, the outgoing faces will be returned directly. In the second stage, with the knowledge of the root information the prefix matching continues based on the trie structure until a longest matching prefix is searched. Then corresponding forwarding phases will be returned.
命名数据网络中NLAPB的高效查找
在命名数据网络中,数据包转发决策取决于对可变长度名称而不是固定长度IP地址的查找操作。命名数据网络是构建计算机网络的另一种方法。它的主要原则是提供通信网络,允许用户专注于用户需要的数据。本文实现了一种新的NLAPB自适应高效名称查找方法。它主要包括基于b前缀和t后缀分离的两个阶段,这与Name Filter完全不同。在第一阶段,首先通过计数布隆过滤器(CBFs)处理名称的b前缀,并通过哈希表辅助确定相应的t后缀树的位置。如果名称/前缀足够短,则将直接返回外向的面孔。在第二阶段,有了根信息的知识,前缀匹配继续基于trie结构,直到搜索到最长的匹配前缀。然后返回相应的转发阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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