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This article describes a dataset of network performance and well-known faults. It is a dataset of symptom-fault causal relationships for an IP-based network. This information is periodically gathered from edge nodes of an emulated enterprise network. The dataset contains about 649 h of network monitoring data, 10 of which refer to artificially induced faults. Those faults are impact failures as faulty cables, fiber cuts, high link utilization, line card failure, link down, misconfigurations, protocol issues, and distribution layer going down. Data were methodically structured by an authoring tool. It is an original dataset created on purpose because of no availability of this dataset type. It is of interest to researchers in data mining, fault diagnosis, and overall network management.
fault diagnosis; link failure; network management; network monitoring