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Fault Detection of Hierarchical Networks with Probabilistic Testing Algorithms

机译:概率测试算法在分层网络故障检测中的应用

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摘要

As communications networks are expanding to larger areas the control and maintenance of routing information are becoming a formidable task. To cope with its size and complexity and to make the network reliable and scalable hierarchical network has been proposed with new features to support the information infrastructure. However, the network hierarchy adds more complications to the network design and implementations and that hampers the network reliability and quality of services. Conformance testing is known to be a powerful tool for network fault detection yet most of the works in the published literature are on networks without hierarchy. We present probabilistic algorithms for testing hierarchical networks along with the added features. Based on a formal model of the networks, we provide a formal analysis that shows that our probabilistic algorithms guarantee a high fault coverage with a feasible number of tests. To further reduce the number of tests we identify test equivalence classes and that enables us to significantly reduce the number of tests yet without losing the fault coverage. Experimental results on Internet OSPF protocol are reported.
机译:随着通信网络扩展到更大的区域,路由信息的控制和维护已成为一项艰巨的任务。为了应对其规模和复杂性,并使网络可靠和可扩展,提出了具有新功能的分层网络,以支持信息基础架构。但是,网络层次结构给网络设计和实现增加了更多的复杂性,并阻碍了网络的可靠性和服务质量。一致性测试是用于网络故障检测的强大工具,但是已出版文献中的大多数工作都是在没有层次结构的网络上进行的。我们提出了用于测试分层网络以及附加功能的概率算法。在网络的正式模型的基础上,我们提供了正式的分析结果,表明我们的概率算法通过可行的测试数量保证了较高的故障覆盖率。为了进一步减少测试数量,我们确定了测试等效类,这使我们能够显着减少测试数量,而又不会失去故障覆盖率。报告了有关Internet OSPF协议的实验结果。

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