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Efficient Non-Segregated Routing for Reconfigurable Demand-Aware Networks

机译:可重配置的需求感知网络的高效非隔离路由

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More and more networks are becoming reconfigurable: not just the routing can be programmed, but the physical layer itself as well. Various technologies enable this programmability, ranging from optical circuit switches to beamformed wireless connections and free-space optical interconnects. Existing reconfigurable network topologies are typically hybrid in nature, consisting of static and a reconfigurable links. However, even though the static and reconfigurable links form a joint structure, routing policies are artificially segregated and hence do not fully exploit the network resources: the state of the art is to route large elephant flows on direct reconfigurable links, whereas the remaining traffic is left to the static network topology. Recent work showed that such artificial segregation is inefficient, but did not provide the tools to actually leverage the benefits on non-segregated routing. In this paper, we provide several algorithms which take advantage of non-segregated routing, by jointly optimizing topology and routing. We compare our algorithms to segregated routing policies and also evaluate their performance in workload-driven simulations, based on real-world traffic traces. We find that our algorithms do not only outperform segregated routing policies, in various settings, but also come close to the optimal solution, computed by a mixed integer program formulation, also presented in this paper. Finally, we also provide insights into the complexity of the underlying combinatorial optimization problem, by deriving approximation hardness results.
机译:越来越多的网络正在变得可重新配置:不仅仅是路由可以编程,而是物理层本身也是如此。各种技术可以实现这种可编程性,从光学电路切换到波束成形无线连接和自由空间光学互连。现有的可重新配置网络拓扑通常是自然界的混合,包括静态和可重新配置的链路。然而,即使静态和可重新配置的链接形成联合结构,路由策略也是人为地隔离,因此不完全利用网络资源:最先进的是在直接可重新配置链路上路由大象流动,而剩余的流量是留给静态网络拓扑。最近的工作表明,这种人工隔离效率低下,但没有提供实际利用非隔离路由的益处的工具。在本文中,我们提供了几种算法,通过联合优化拓扑和路由,利用非隔离路由。我们将算法与分离路由策略进行比较,并根据现实世界流量迹线,评估其在工作负载驱动模拟中的性能。我们发现,我们的算法不仅在各种设置中占据了隔离的路由策略,而且还靠近由混合整数程序配方计算的最佳解决方案,还介绍。最后,我们还通过推导近似硬度结果,提供对潜在的组合优化问题的复杂性的洞察。

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