Using Multi-valued Decision Diagrams to Solve the Expected Hop Count Problem

J. Herrmann, S. Soh, Geoff A. W. West, S. Rai
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引用次数: 6

Abstract

The Expected Hop Count (EHC) of a computer communication network has so far been computed for network models that consider only device or link failure, but not both. We introduce an Augmented Ordered Multi-valued Decision Diagram (OMDD-A) to obtain the EHC of a network in which both devices and links may fail. The OMDD-A approach can compute the EHC of a 2´100 grid network with 299 paths, which is unsolvable using existing techniques. We show that OMDD-A generates significantly fewer nodes than the corresponding ordered binary decision diagram, leading to large reductions in processing time.
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用多值决策图求解期望跳数问题
到目前为止,计算机通信网络的期望跳数(EHC)是针对只考虑设备或链路故障的网络模型计算的,而不是同时考虑两者。我们引入增广有序多值决策图(OMDD-A)来获得设备和链路都可能失效的网络的EHC。OMDD-A方法可以计算具有299条路径的2´100网格网络的EHC,这是现有技术无法解决的。我们表明,OMDD-A生成的节点明显少于相应的有序二进制决策图,从而大大减少了处理时间。
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