减少混合光-电数据中心网络重构时间

Shuyuan Zhang, Shu Shan, Shizhen Zhao
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引用次数: 0

摘要

研究了如何缩短光电混合数据中心网络(DCNs)的重构时间。通过一层光电路交换机(ocse),混合光电DCNs可以重新配置其逻辑拓扑以更好地匹配正在进行的流量模式,但重新配置的时间会直接影响可重构性的好处。重配置时间包括拓扑求解器运行时间和触发重配置后的网络收敛时间。然而,现有的拓扑求解器要么导致较高的算法复杂度,要么无法最小化重构开销。在本文中,我们提出了一种新的算法,该算法结合了二分割和最小成本流(MCF)的思想来减少整体重构时间。我们首次将拓扑求解问题表述为具有分段代价的MCF问题,从而更好地平衡了求解器复杂性和解的最优性。我们的评估表明,我们的算法可以显著缩短网络收敛时间,同时消耗较少的拓扑求解器运行时间,使其整体性能优于现有算法。我们的代码和测试用例可以在公共存储库中获得[25]。
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Reducing Reconfiguration Time in Hybrid Optical-Electrical Datacenter Networks
We study how to reduce the reconfiguration time in hybrid optical-electrical Datacenter Networks (DCNs). With a layer of Optical Circuit Switches (OCSes), hybrid optical-electrical DCNs could reconfigure their logical topologies to better match the on-going traffic patterns, but the reconfiguration time could directly affect the benefits of reconfigurability. The reconfiguration time consists of the topology solver running time and the network convergence time after triggering reconfiguration. However, existing topology solvers either incur high algorithmic complexity or fail to minimize the reconfiguration overhead. In this paper, we propose a novel algorithm that combines the ideas of bipartition and Minimum Cost Flow (MCF) to reduce the overall reconfiguration time. For the first time, we formulate the topology solving problem as an MCF problem with piecewise cost, which strikes a better balance between solver complexity and solution optimality. Our evaluation shows that our algorithm can significantly reduce the network convergence time while consuming less topology solver running time, making its overall performance superior to existing algorithms. Our code and test cases are available at a public repository [25].
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