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Towards an efficient combination of adaptive routing and queuing schemes in Fat-Tree topologies

机译:朝向脂肪树拓扑中的自适应路由和排队方案的高效组合

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摘要

The interconnection network is a key element in High-Performance Computing (HPC) and Datacenter (DC) systems whose performance depends on several design parameters, such as the topology, the switch architecture, and the routing algorithm. Among the most common topologies in HPC systems, the Fat-Tree offers several shortest-path routes between any pair of end-nodes, which allows multi-path routing schemes to balance traffic flows among the available links, thus reducing congestion probability. However, traffic balance cannot solve by itself some congestion situations that may still degrade network performance. Another approach to reduce congestion is queue-based flow separation, but our previous work shows that multi-path routing may spread congested flows across several queues, thus being counterproductive. In this paper, we propose a set of restrictions to improve alternative routes selection for multi-path routing algorithms in Fat-Tree networks, so that they can be positively combined with queuing schemes.
机译:互连网络是高性能计算(HPC)和数据中心(DC)系统中的关键元件,其性能取决于若干设计参数,例如拓扑,交换机架构和路由算法。在HPC系统中最常见的拓扑中,脂肪树在任何一对终端节点之间提供了几条最短路径路径,这允许多路径路由方案在可用链路之间平衡流量流量,从而降低拥塞概率。但是,交通余额本身无法通过一些可能仍会降低网络性能的拥塞情况。减少拥塞的另一种方法是基于队列的流量分离,但我们之前的工作表明,多路径路径可以在几个队列中传播拥塞流,从而适量。在本文中,我们提出了一系列限制,以改善脂肪树网络中的多路径路由算法的替代路由选择,从而它们可以与排队方案正面结合。

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