PRISM: Predictive Runtime In-place Scaling and Model Selection for Edge Microservices
PRISM, a prediction-guided runtime framework that jointly selects model variants and CPU allocations for containerized edge microservices, and adapts each pipeline stage in place and minimizes predicted CPU-package energy under deadline, resource, and offline model-level Quality of Result constraints is presented.
Uwe Gropengießer, Thomas Reuter, Dominik Schön et al.
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