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

Guang Sun, Chia-Wei Chang, Bill Lin, Lieguang Zeng
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引用次数: 2

Abstract

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.
网状网络的遗忘路由设计,以实现新的最坏情况吞吐量边界
1/2网络容量通常被认为是网状网络的最坏情况吞吐量的极限。然而,本文为奇基二维网状网络提供了一个新的最坏情况吞吐量边界,该边界高于网络容量的1/2。此外,我们提出了一种名为U2TURN的路由算法,可以实现奇基网格的最坏情况吞吐量界限。对于偶数基网格,我们证明了U2TURN实现了最优最坏吞吐量,即网络容量的一半。U2TURN考虑所有最多2圈的路由路径,在X维和Y维上均匀分配流量负载。理论分析和仿真结果表明,U2TURN算法在最坏吞吐量方面优于现有的路由算法。此外,U2TURN以大约1.5倍的最小平均跳数为代价实现了良好的平均吞吐量。针对非对称网格,我们进一步提出了一种名为“U2TURN-A”的算法,并对不同算法进行了理论分析。理论分析和仿真结果表明,U2TURN和U2TURN- a算法在非对称网格的最坏吞吐量和平均吞吐量方面都优于现有的VAL、DOR和O1TURN算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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