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GENERATING REALISTIC NETWORK GRAPH MODELS FOR FAULT-TOLERANT ALGORITHM EVALUATION

机译:生成逼真的网络图形模型以进行容错算法评估

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While networks like the Internet lack a central control and develop into a hub-based scale-free topology, current work demonstrates that most wide-area networks, which are under a central administration develop into small-world like topologies. The testing of fault-tolerant algorithms requires most realistic network models. In this work we show methods that produce such network graphs by working out adequate parameters for graph generators and introduce a new functional similarity index, which allows the selection of graphs that possess topologies with similar influence on algorithms as real existing graphs.
机译:尽管像Internet这样的网络缺乏集中控制,并发展成为基于集线器的无标度拓扑,但当前的工作表明,在中央管理下的大多数广域网都发展成为类似拓扑的小世界。容错算法的测试需要最实际的网络模型。在这项工作中,我们展示了通过为图生成器计算出足够的参数来生成此类网络图的方法,并介绍了一种新的功能相似性索引,该索引允许选择具有对算法的影响与实际现有图类似的拓扑的图。

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