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rHALB: A New Load-Balanced Routing Algorithm for k-ary n-cube Networks

机译:rHALB:k元n立方网络的一种新的负载均衡路由算法

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摘要

A new load-balanced routing algorithm for k-ary n-cube networks is proposed in this paper. The new algorithm, called rHALB (r Hop Aware Load-Balanced) routing algorithm, can efficiently balance traffic loads in k-ary n-cube networks. It is based on the limited global information, which is a tradeoff between local and global information. rHALB makes use of the number of potential deadlocked packets to detect the congestion, and can direct the traffic to bypass any detected hotspots, thus balancing the traffic. Simulations are carried out on 2D torus networks by using OPNET. The results show that rHALB achieves a better performance (latency and throughput) under various traffic patterns than dimension order routing and Duato's algorithm, which are popularly used in commercial products, and ROMM, ACQ and GAL, which were proposed in literature recently.
机译:提出了一种新的k元n-cube网络负载均衡路由算法。新算法称为rHALB(r Hop感知负载均衡)路由算法,可以有效地平衡k元n立方网络中的流量负载。它基于有限的全球信息,这是本地信息和全球信息之间的权衡。 rHALB利用潜在的死锁数据包的数量来检测拥塞,并可以指示流量绕过任何检测到的热点,从而平衡流量。使用OPNET在2D圆环网络上进行仿真。结果表明,rHALB在各种流量模式下都比维度索引路由和Duato算法(在商业产品中广泛使用)以及ROMM,ACQ和GAL(在最近的文献中被广泛使用)具有更好的性能(延迟和吞吐量)。

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