4 citations · 15 across the 11 of their papers we have counts for
Showing cs.DCShow all
2 papers · 1 filter
cs.DC2026
PRISM: Predictive Runtime In-place Scaling and Model Selection for Edge Microservices
Uwe Gropengießer, Thomas Reuter, Dominik Schön +3
Latency-sensitive edge AI services must balance strict deadlines, output quality, and limited compute and energy budgets. However, static CPU provisioning wastes resources because…
cs.DC2026
PRICE: Pricing-based Resource Incentives for Quality-of-Result-aware Computing at the Edge
Uwe Gropengießer, Sebastian Frenz, Max Mühlhäuser
Edge nodes are capacity-constrained by design, yet many edge workloads can trade result quality for resource efficiency at runtime. Existing edge pricing mechanisms largely treat r…