Toward Incremental FIB Aggregation with Quick Selections (FAQS)

Yaoqing Liu, Garegin Grigoryan
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引用次数: 4

Abstract

Several approaches to mitigating the Forwarding Information Base (FIB) overflow problem were developed and software solutions using FIB aggregation are of particular interest. One of the greatest concerns to deploy these algorithms to real networks is their high running time and heavy computational overhead to handle thousands of FIB updates every second. In this work, we manage to use a single tree traversal to implement faster aggregation and update handling algorithm with much lower memory footprint than other existing work. We utilize 6-year realistic IPv4 and IPv6 routing tables from 2011 to 2016 to evaluate the performance of our algorithm with various metrics. To the best of our knowledge, it is the first time that IPv6 FIB aggregation has been performed. Our new solution is 2.53 and 1.75 times as fast as the-state-of-the-art FIB aggregation algorithm for IPv4 and IPv6 FIBs, respectively, while achieving a near-optimal FIB aggregation ratio.
基于快速选择的增量FIB聚合(FAQS)
缓解转发信息库(FIB)溢出问题的几种方法已经被开发出来,使用FIB聚合的软件解决方案尤其令人感兴趣。将这些算法部署到实际网络中最大的问题之一是它们的高运行时间和每秒处理数千个FIB更新的沉重计算开销。在这项工作中,我们设法使用单个树遍历来实现更快的聚合和更新处理算法,并且内存占用比其他现有工作低得多。我们利用2011年至2016年的6年现实IPv4和IPv6路由表来评估我们的算法与各种指标的性能。据我们所知,这是第一次进行IPv6 FIB聚合。我们的新解决方案分别是最先进的IPv4和IPv6 FIB聚合算法的2.53和1.75倍,同时实现了接近最佳的FIB聚合比。
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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