一种基于多处理器组织和CREW PRAM的高性能并行IP查找技术

M. Hasanloo, A. Amiri, M. Fathy
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引用次数: 1

摘要

由于路由表大小的增加、流量的增加和向IPv6地址的迁移,IP查找过程是路由的关键瓶颈。IP路由查找涉及最长前缀匹配的计算,现有的解决方案,如BSD Radix Tries,在路由器流量增加或用于IPv6地址查找时伸缩性很差。本文描述了一种CREW PRAM多处理器组织查找方法,该方法使用P处理器来解决LPM问题。通过这种技术可以同时查找p - 1 IP地址,从而使处理器的性能以线性方式增加。首先,我们根据前缀的前两个字节对某些组中的所有前缀进行分类,并将它们分类到相应的组中。假设一组中存在M个前缀,则最坏情况下插入算法的时间复杂度降低为0(Log M + M/2),每个前缀的搜索、更新和删除算法的时间复杂度降低为Log (M)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A High Performance Parallel IP Lookup Technique Based on Multiprocessor Organization and CREW PRAM
The IP Lookup Process is a key bottleneck in routing due to the increase in routing table size, increasing traffic and migration to IPv6 addresses. The IP routing lookup involves computation of the Longest Prefix Matching for which existing solutions, such as BSD Radix Tries, scale poorly when traffic in the router increases or when employed for IPv6 address lookups. In this paper, we describe a CREW PRAM multiprocessor organization lookup that uses P processor for solving LPM problem. By this technique P-l IP addresses can be looked up simultaneously thus the performance of processors increase in linear manner. First we categorize all prefixes in some groups based on their first two bytes and sort them into their groups. By assuming M prefixes exist in a group then time complexity of insertion algorithm in worst case reduces to 0(Log M + M/2) and the time complexity of search, update and deletion algorithms reduce to log(M) for each prefix.
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