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Lightning Talk: Service Quality Management for Critical Edge Applications

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An open-source service-quality manager called SEAM monitors entire edge chain — device, network, Kubernetes cluster and worker nodes — and centralizes traces and metrics. It runs ML models for ML root-cause analysis, correlates network jitter and CPU pressure with end-to-end latency, and triggers actions: reassign requests to a different edge server, scale cluster resources, or apply dynamic DNN partitioning per request. Demonstrated with a traffic-sign/vehicle demo and SLO-driven choices (target <100 ms) that reduce failures when network or CPU is degraded.

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