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Rethinking Fat-Tree Topology Design for Cloud Data Centers

机译:重新思考云数据中心的胖树拓扑设计

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Data center network (DCN) topologies have recently been the focus of many researchers due to their vital role in achieving high DCN performances in terms of scalability, power consumption, throughput, and traffic load balancing. This paper presents a comprehensive comparison between two most commonly used DCN topologies, Fat-Tree and BCube, with a focus on structure, addressing and routing, and proposes a new DCN topology that is better suited for nowadays data center networks. We show that our proposed topology, termed Circulant Fat-Tree, alleviates traffic congestion at the core switches, improves network latency, and increases robustness against switch and server failures when compared to traditional Fat-Tree DCN topologies.
机译:由于数据中心网络(DCN)拓扑在实现可扩展性,功耗,吞吐量和流量负载平衡方面实现高DCN性能方面至关重要,因此最近已成为许多研究人员关注的焦点。本文介绍了两种最常用的DCN拓扑,即Fat-Tree和BCube,重点是结构,寻址和路由,并提出了一种更适合当今数据中心网络的新DCN拓扑。我们显示,与传统的胖树DCN拓扑相比,我们提出的拓扑结构称为循环胖树,可减轻核心交换机的流量拥塞,改善网络延迟并提高针对交换机和服务器故障的鲁棒性。

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