Today's networks are maintained by "masters of complexity": network admins who have accumulated the wisdom to troubleshoot complex problems, despite a limiting toolset. This position paper advocates a more structured troubleshooting approach that leverages architectural layering in SoftwareDefined Networks (SDNs). In all networks, high-level intent (policy) must correctly map to low-level forwarding behavior (hardware configuration). In SDNs, intent is explicitly expressed, forwarding semantics are explicitly defined, and each architectural layer fully specifies the behavior of the network. Building on these observations, we show how recently-developed troubleshooting tools fit into a coherent workflow that detects mistranslations between layers to precisely localize sources of errant control logic. Our goals are to explain the overall picture, show how the pieces fit together to enable a systematic workflow, and highlight the questions that remain. Once this workflow is realized, network admins can formally verify that their network is operating correctly, automatically troubleshoot bugs, and systematically track down their root cause -freeing admins to fix problems, rather than diagnose their symptoms.

This study examined the impact of a 1-day continuing education training for mental health professionals on knowledge and confidence around suicide assessment and intervention. Data on knowledge, confidence and the utility of information were collected through pretests and posttests at 12 trainings at local community agencies. Findings indicate that a continuing education workshop can increase knowledge and self-confidence. Several participant characteristics were associated with knowledge and confidence at pretest; only being trained as a mental health professional and previous training remained significant at posttest. Participants identified training components which were new and useful. Implications for training and education are discussed.

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