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PCIU: An efficient packet classification algorithm with an incremental update capability

机译:PCIU:具有增量更新功能的高效数据包分类算法

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Packet classification plays a crucial role for a number of network services such as policy based routing, firewalls and traffic billing to name a few. However, classification can be a bottleneck in the above mentioned applications if not implemented properly and efficiently. In this work we propose PCIU, a novel algorithm, which improves upon previous published algorithms. PCIU provides lower pre-processing time, lower memory consumption, ease of incremental rule update, and reasonable classification time compared to published work. The maximum memory to accommodate 10,000 rules in the worst case is less than 2.5 MB. The proposed algorithm was evaluated and compared to several techniques such as RFC and HiCut using several benchmarks. Results obtained indicate that PCIU outperforms these algorithms in terms of speed, memory usage, incremental update capability and pre-processing time.
机译:数据包分类对于许多网络服务(例如基于策略的路由,防火墙和流量计费)起着至关重要的作用。但是,如果未正确有效地实施分类,则分类可能是上述应用程序的瓶颈。在这项工作中,我们提出了PCIU,这是一种新颖的算法,它对以前发布的算法进行了改进。与已发布的工作相比,PCIU提供了更少的预处理时间,更低的内存消耗,轻松的增量规则更新以及合理的分类时间。在最坏的情况下,可容纳10,000条规则的最大内存小于2.5 MB。对提出的算法进行了评估,并使用几种基准将其与RFC和HiCut等多种技术进行了比较。获得的结果表明,PCIU在速度,内存使用,增量更新功能和预处理时间方面优于这些算法。

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