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An Oblivious Routing Algorithm for 3D Mesh Networks to Achieve a New Worst-Case Throughput Bound

机译:3D网状网络实现新的最坏吞吐量吞吐量约束的遗忘路由算法

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摘要

1/2 network capacity is often believed to be the limit of worst-case throughput for three-dimension (3D) mesh networks. However, this paper provides a new worst-case throughput bound, which is higher than 1/2 network capacity, for odd radix 3D mesh networks. In addition, we propose a routing algorithm called uniform solo-minimal (USM) routing that can achieve this new worst-case throughput bound in odd radix mesh networks. For the even radix case, we prove that USM achieves the optimal worst-case throughput, namely, half of network capacity. USM considers all routing paths with at most one dimensional minimal-distance routing and distributes the traffic loads uniformly to other two left dimensions. Theoretical analysis and simulation results show that USM outperforms existing routing algorithms in worst-case throughput. Moreover, USM achieves good average-throughput and performs very well under different traffic matrices at the expense of $({5}/{3})times$ minimal average hop count.
机译:通常认为1/2网络容量是三维(3D)网状网络的最坏情况吞吐量的限制。但是,本文为奇数基数3D网状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。另外,我们提出了一种路由算法,称为统一最小(USM)路由,它可以在奇数基数网格网络中实现这种新的最坏情况下的吞吐量限制。对于偶数基数情况,我们证明USM实现了最佳的最坏情况吞吐量,即网络容量的一半。 USM考虑所有路由路径最多具有一维最小距离路由,并将流量负载均匀地分配到其他两个左维度。理论分析和仿真结果表明,在最坏情况下,USM的性能优于现有路由算法。而且,USM达到了良好的平均吞吐量,并且在不同的流量矩阵下表现出色,但代价是 $({5} / {3})times $ 最小平均跳数。

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