A set of deadline-driven edge-cloud scheduling heuristics (DEMS, DEMS-A, GEMS) improves on-time DNN inference completion and utility for drone fleets, adding a completion-rate QoE metric for assistive drone applications.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
A set of deadline-driven edge-cloud scheduling heuristics (DEMS, DEMS-A, GEMS) improves on-time DNN inference completion and utility for drone fleets, adding a completion-rate QoE metric for assistive drone applications.