Fast Name Lookup based on Component State Transfer in Content Centric Networking

Xiaofei Yang, Jianghua Xu, Sheng Huang, Si-Hao Liu
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引用次数: 0

Abstract

Content Centric Networking (CCN) is treated as one of the most representatives of the future Internet architecture structure, in which has attracted attention. Interest Packet forwarding relies on content name instead of IP address, the structure of packet name occur hierarchical and the length of name is unlimited, these pivotal features bring new challenges to meet high speed at large scale. In this paper, Fast Name Lookup based on Component State Transfer in Content Centric Networking(FNLCST) is proposed. Hash function and component coding are combined to construct virtual component Trie, then every component is compiled into unique code. In order to improve performance further, components in the same level in the virtual component Trie are stored to different hash tables according to their lengths, so the great number of children nodes can be dispersed by hash function. In addition, the number of memory access times can be reduced because each node in hash table can be allocated memory with specific size to avoid character pointer. Simulation results show FNLCST can achieve high lookup speed and exhibit good scalability to large-scale prefixes table.
内容中心网络中基于组件状态传输的快速名称查找
内容中心网络(Content Centric Networking, CCN)被认为是未来互联网体系结构的最具代表性的结构之一,引起了人们的广泛关注。兴趣包转发依赖于内容名而不是IP地址,包名结构呈层次化,包名长度不受限制,这些关键特点给满足大规模高速带来了新的挑战。提出了一种基于内容中心网络(Content Centric Networking,简称FNLCST)中组件状态传输的快速名称查找方法。将哈希函数和组件编码相结合,构造虚拟组件Trie,然后将每个组件编译成唯一的代码。为了进一步提高性能,虚拟组件树中同一级别的组件根据其长度存储到不同的哈希表中,因此大量的子节点可以通过哈希函数分散。此外,由于哈希表中的每个节点都可以分配特定大小的内存,以避免字符指针,因此可以减少内存访问次数。仿真结果表明,FNLCST可以实现较高的查找速度,并对大型前缀表具有良好的可扩展性。
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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