命名数据网络中基于哈希和字符树的高效名称查找方案

Yunsong Tan, Shuhua Zhu
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引用次数: 8

摘要

名称查找作为NDN网络中路由器转发和过滤数据包的关键功能,其内存效率问题十分严重。为了解决这一问题,本文提出了一种高效的NDN名称查找方案——拆分名称字符Trie(SNT)。它首先将名称分解为组件,然后对组件进行散列以构造一个trie。在那之后,该公司将被分成两个较小的公司。在操作名称查找时,将一个名称拆分为两个部分,以便对两个尝试分别进行查找。实验结果表明,SNT很好地支持最长前缀匹配。通过组件哈希可以降低30% ~ 38%的内存成本,通过拆分trie可以进一步降低30% ~ 33%的内存成本。尽管维护哈希表需要额外的内存成本,但它仍然可以提高23% ~ 49%的总体内存效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Name Lookup Scheme Based on Hash and Character Trie in Named Data Networking
Name lookup, as a key function of routers for forwarding and filtering packets in NDN, has confronted serious memory efficiency problem. To solve the problem, this paper presents an efficient NDN name lookup scheme -- Split Name character Trie(SNT). It first decomposed a name into components, which were then hashed to construct a trie. After that, the trie would be split into two smaller ones. When operating name lookup, a name would be split into two parts to conduct lookup on the two tries independently. Experimental results show that SNT supports longest prefix match very well. It can reduce 30% ~ 38% memory cost by component hash and can reduce 30% ~ 33% memory cost further by splitting trie. Despite of the extra memory cost of maintaining hash table, it still improves general memory efficiency by 23% ~ 49%.
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