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Efficient Routing in Data Center with Underlying Cayley Graph

机译:具有底层Cayley图的数据中心中的高效路由

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Nowadays data centers are becoming huge facilities with hundreds of thousands of nodes, connected through a network. The design of such interconnection networks involves finding graph models that have good topological properties and that allow the use of efficient routing algorithms. Cayley Graphs, a kind of graphs that represents an algebraic group, meet these properties and therefore have been proposed as a model for these networks. In this paper we present a routing algorithm based on Shortlex Automatic Structure, which can be used on any interconnection network with an underlying Cayley Graph (of some finite group). We show that our proposal computes the shortest path between any two vertices with low time and space complexity in comparison with traditional routing algorithms.
机译:如今,数据中心正在成为庞大的设施,通过网络连接成千上万个节点。这种互连网络的设计涉及寻找具有良好拓扑特性并允许使用有效路由算法的图模型。 Cayley图是代表代数群的一种图,具有这些特性,因此已被建议作为这些网络的模型。在本文中,我们提出了一种基于Shortlex自动结构的路由算法,该算法可以在具有基础Cayley图(某些有限组)的任何互连网络上使用。我们表明,与传统的路由算法相比,我们的提案可计算出两个顶点之间的最短路径,且时间和空间复杂度低。

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