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Fractional-N SVRF Forwarding Algorithm for Low Port-Density Packet Forwarding Engines

机译:低端口密度包转发发动机的分数-N SVRF转发算法

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High-performance multicast-enabled switches and routers are being constantly developed, which use a polynomial-time group membership query algorithm within the Packet Forwarding Engines (PFEs) to determine whether or not a packet is forwarded through a unique or multiple egress ports. Among these, Bloom filter (BF) and Scalar-pair Vectors Routing and Forwarding (SVRF) are being considered as two representations of the membership query algorithms. However, both approaches suffer from some fatal weaknesses such as space and time inefficiencies, especially for a carrier-grade PFE with high port-density feature. In order to solve these imperfections of SVRF, we propose an improved Fractional-N Scalar-matrix and Vectors Routing and Forwarding (Fractional-N SVRF) scheme based on re-examining the idea of the original SVRF. The Fractional-N SVRF preprocesses a scalar-matrix by dividing an n-element group into N-columns (sub-blocks), thus element’ keys belonging to distinct sub-blocks and sub-scalars are allowed to reuse relatively smaller identical prime keys. Based on Fractional-N SVRF, membership queries can be partitioned to leverage task parallelism, therefore better performance is achieved in terms of memory consumption and computational complexity.
机译:不断开发高性能多播的交换机和路由器,该开关和路由器在数据包转发引擎(PFE)中使用多项式 - 时组成员资格查询算法来确定数据包是否通过唯一或多个出口端口转发。其中,绽放过滤器(BF)和标量对向量路由和转发(SVRF)被认为是成员资格查询算法的两个表示。然而,两种方法都遭受一些致命的弱点,例如空间和时间效率低下,特别是对于具有高端口密度特征的载体级PFE。为了解决SVRF的这些缺陷,我们提出了一种基于重新检查原始SVRF的思想的改进的分数-N标量矩阵和向量路由和转发(Fractional-N SVRF)方案。 Fractional-n SVRF通过将n个元素组划分为n列(子块)来预处理标量矩阵,因此允许属于不同的子块和子标量的元素的键来重用相对较小的相同的主要键。基于Fractional-N SVRF,可以将隶属查询分区以利用任务并行性,因此在内存消耗和计算复杂性方面实现了更好的性能。

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