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Distributed Diagnosis of Dynamic Events in Partitionable Arbitrary Topology Networks

机译:可划分任意拓扑网络中动态事件的分布式诊断

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This work introduces the Distributed Network Reachability (DNR) algorithm, a distributed system-level diagnosis algorithm that allows every node of a partitionable arbitrary topology network to determine which portions of the network are reachable and unreachable. DNR is the first distributed diagnosis algorithm that works in the presence of network partitions and healings caused by dynamic fault and repair events. Both crash and timing faults are assumed, and a faulty node is indistinguishable of a network partition. Every link is alternately tested by one of its adjacent nodes at subsequent testing intervals. Upon the detection of a new event, the new diagnostic information is disseminated to reachable nodes. New events can occur before the dissemination completes. Any time a new event is detected or informed, a working node may compute the network reachability using local diagnostic information. The bounded correctness of DNR is proved, including the bounded diagnostic latency, bounded startup and accuracy. Simulation results are presented for several random and regular topologies, showing the performance of the algorithm under highly dynamic fault situations.
机译:这项工作引入了分布式网络可到达性(DNR)算法,这是一种分布式系统级诊断算法,它允许可分区的任意拓扑网络的每个节点确定网络的哪些部分可达和不可达。 DNR是第一种分布式诊断算法,可在存在由动态故障和维修事件引起的网络分区和修复的情况下工作。假定崩溃和定时故障,并且故障节点与网络分区是无法区分的。每条链路都由其相邻节点之一在随后的测试间隔中进行交替测试。在检测到新事件后,新的诊断信息就会传播到可到达的节点。新事件可能在传播完成之前发生。每当检测到或通知新事件时,工作节点都可以使用本地诊断信息来计算网络可达性。证明了DNR的有限正确性,包括有限的诊断延迟,有限的启动和准确性。给出了几种随机和规则拓扑的仿真结果,显示了该算法在高度动态故障情况下的性能。

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