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IPv6 packet classification based on flow label, source and destination addresses

机译:基于流标签,源和目标地址的IPv6数据包分类

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Packet classification is important for supporting multi-field packet routing, quality of service (QoS), real-time data streaming applications and firewalls. Existing schemes in IPv4 uses the 5-tuple approach, giving much overhead in the dataplane processing. With the introduction of IPv6 flow label field which facilitates labeling of packets belonging to the same flow; classification can now be done using the 3-tuple approach. In this paper, we propose 3-tuple packet classification algorithm using hierarchical-trie data structure that has low storage requirement and optimum search speed. Packet filters are evaluated based on hierarchical approach, starting from flow label followed by source and destination addresses. A hashing model with collision resolution for addresses that minimizes memory consumption is also being described. The time complexity of the lookup process is bounded by the length of header fields and is independent of the trie size.
机译:数据包分类对于支持多字段数据包路由,服务质量(QoS),实时数据流应用程序和防火墙非常重要。 IPv4中的现有方案使用5元组方法,从而在数据平面处理中产生了很多开销。通过引入IPv6流标签字段,可以方便地标记属于同一流的数据包;现在可以使用三元组方法进行分类。本文提出了一种使用分层三元数据结构的三元分组分类算法,该算法具有较低的存储需求和最佳的搜索速度。数据包过滤器是基于分层方法进行评估的,首先从流标签开始,然后是源地址和目标地址。还描述了一种具有冲突解决方案的哈希模型,该模型具有用于地址的冲突解决方案,可最大程度地减少内存消耗。查找过程的时间复杂度受标头字段的长度限制,并且与trie大小无关。

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