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Oblivious routing design for mesh networks to achieve a new worst-case throughput bound

机译:无知的网状网络路由设计实现新的最坏情况吞吐量

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1/2 network capacity is often believed to be the limit of worst-case throughput for mesh networks. However, this paper provides a new worst-case throughput bound, which is higher than 1/2 network capacity, for odd radix two-dimensional mesh networks. In addition, we propose a routing algorithm called U2TURN that can achieve this worst-case throughput bound for odd radix meshes. For even radix meshes, we prove that U2TURN achieves the optimal worst-case throughput, namely, half of network capacity. U2TURN considers all routing paths with at most 2 turns and distributes the traffic loads uniformly in both X and Y dimensions. Theoretical analysis and simulation results show that U2TURN outperforms existing routing algorithms in worst-case throughput. Moreover, U2TURN achieves good average-throughput at the expense of approximately 1.5× minimal average hop count. For asymmetric meshes, we further propose an algorithm called “U2TURN-A” and provide theoretical analysis for different algorithms. Both theoretical analysis and simulation show that U2TURN and U2TURN-A outperform existing algorithms VAL, DOR and O1TURN in both worst-case and average throughput for asymmetric meshes.
机译:通常认为1/2网络容量是网状网络最坏情况吞吐量的极限。但是,本文提供了一种新的最坏情况吞吐量,其绑定高于1/2网络容量,用于奇数基数二维网状网络。此外,我们提出了一种被称为U2Turn的路由算法,可以实现奇数基数网格的这种最坏情况吞吐量。对于即使是甚至是基数网格,我们证明U2Turn实现了最佳的最坏情况吞吐量,即网络容量的一半。 U2Turn将所有带路径最多旋转,并在X和Y尺寸中均匀地分发流量负载。理论分析和仿真结果表明,U2Turn在最坏情况吞吐量中优于现有的路由算法。此外,U2Turn以牺牲大约1.5×最小的跳数为代价实现了良好的平均吞吐量。对于非对称网格,我们进一步提出了一种称为“U2Turn-A”的算法,并为不同算法提供理论分析。理论分析和仿真都显示了U2Turn和U2Turn - 以最坏情况和不对称网格的平均吞吐量在最差错的算法Val,DOR和O1Turn。

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