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Routing in Black Box: Modularized Load Balancing for Multipath Data Center Networks

机译:黑匣子路由:多路径数据中心网络的模块化负载平衡

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Multipath networks are widely used in data centers and load balancing is one of the most important technologies to improve their performances. Due to the ever-increasing in data center network size, existing load balancing algorithms face the challenges of efficiency and scalability. In this paper, we propose a new load balancing algorithm for large-scale, multi-tier fat-tree based data center networks. Different from the conventional architectures, a multi-tier fat-tree is divided into multiple routing domains according to the topology, and the routing processes in different domains are independent. The devices outside a routing domain can only access the specific interfaces provided by this domain. It is thus very convenient for deployment and modular upgrade. We also design a distributed and data-driven feedback mechanism, with which the routing decision is based on the global load information. We prove that the new algorithm can achieve perfect load balancing in multipath networks and show that the new algorithm outperforms all other load balancing algorithms in performance.
机译:多路径网络已广泛用于数据中心,而负载平衡是提高其性能的最重要技术之一。由于数据中心网络规模的不断扩大,现有的负载平衡算法面临着效率和可扩展性的挑战。在本文中,我们为大型,多层基于胖树的数据中心网络提出了一种新的负载平衡算法。与传统架构不同,多层胖树根据拓扑结构分为多个路由域,不同域中的路由过程是相互独立的。路由域外部的设备只能访问此域提供的特定接口。因此,这对于部署和模块化升级非常方便。我们还设计了一种分布式的,数据驱动的反馈机制,通过该机制,路由决策基于全局负载信息。我们证明了该新算法可以在多路径网络中实现完美的负载均衡,并表明该算法在性能上优于所有其他负载均衡算法。

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