基于哈希编码的NDN快速名称查找方法

Feng Shuaibo, Mingchuan Zhang, R. Zheng, Qingtao Wu
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引用次数: 7

摘要

命名数据网络(以下简称NDN),是一种以内容为中心的新型网络架构,按照名称对数据进行路由和转发。满足了用户对网络中海量异构信息的高效访问需求。然而,对于数据名称,它们的结构通常是分层的,长度是可变的,那么快速的名称搜索匹配就成为一个很大的挑战。本文介绍并提出了哈希编码名称检索系统。特别是通过哈希函数对数据名称进行压缩,通过转换数组实现快速的名称搜索,最后设计了增量更新机制,满足NDN名称的频繁修改、插入和删除。通过实验分析可知,该方法可使名称压缩率至少达到50%,查询效率提高近10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fast Name Lookup Method in NDN Based on Hash Coding
Named Data Network (hereinafter called NDN), as one new content-centered network architecture, which routes and forwards the data in accordance with their names. And it satisfies the users' demands for efficient access to mass and heterogeneous information in the network. However, for the data name, their structures are usually hierarchical and lengths variable, then the quick name-searching match becomes a very big challenge. In this essay, Hash Coding Name-searching System is introduced and proposed. In particular, the data name is compressed through the hash function, the quick name-searching is realized through the transition array, finally, the incremental update mechanism is designed to meet the frequent modification, insertion and delete of NDN name. Through experimental analysis we can know that the method will make the name compression ratio reach to 50% at least and the query efficiency increase 10% almost.
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