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Reliable Cluster on Uncertain Multigraph

机译:不确定多图上的可靠簇

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摘要

In real-world heterogeneous network, computing devices are generally equipped with multiple network devices. Also, the connection between devices can be changed dynamically, thus, the connectivity between devices needs to be modeled deliberately, after probabilistic models. From these two factors, this paper proposes to use uncertain multigraph to model heterogeneous network. Furthermore, this paper considers the reliable cluster problem on this uncertain multigraph. Finding reliable cluster can identify set of network devices that unlikely to be disconnected and should be assigned as core network devices. An efficient clustering algorithm is presented to address the problem and the evaluation results show that the proposed algorithm can find reliable clusters faster than base-line algorithms.
机译:在现实世界的异构网络中,计算设备通常配备有多个网络设备。而且,设备之间的连接可以动态更改,因此,在概率模型之后,必须有意地对设备之间的连接进行建模。基于这两个因素,本文提出使用不确定的多重图对异构网络进行建模。此外,本文考虑了该不确定多图上的可靠聚类问题。寻找可靠的群集可以识别不太可能断开连接并应分配为核心网络设备的网络设备集。提出了一种有效的聚类算法来解决该问题,评估结果表明,与基线算法相比,该算法能够更快地找到可靠的聚类。

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