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

机译:网状网络的遗忘路由设计,以实现新的最坏情况吞吐量限制

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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限制。但是,本文为奇数基数二维网格网络提供了一个新的最坏情况下的吞吐量限制,该限制高于1/2网络容量。此外,我们提出了一种称为U2TURN的路由算法,该算法可为奇数基数网格实现这种最坏情况的吞吐量限制。对于偶数基数网格,我们证明U2TURN可实现最佳的最坏情况吞吐量,即网络容量的一半。 U2TURN考虑最多具有2匝的所有路由路径,并在X和Y维度上均匀分配流量负载。理论分析和仿真结果表明,在最坏情况下,U2TURN的性能优于现有路由算法。此外,U2TURN以约1.5倍的最小平均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,并提供了针对不同算法的理论分析。理论分析和仿真均表明,在不对称网格的最坏情况和平均吞吐量方面,U2TURN和U2TURN-A均优于现有算法VAL,DOR和O1TURN。

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